Prognostic value of patient-reported outcomes from international randomised clinical trials on cancer: a systematic review

Meaningful differences in patient-reported outcome measurement scores in liver disease

BACKGROUND

Patient-reported outcome measures (PROMs) are being used more often in chronic liver disease (CLD) clinical care and research. Their interpretability can be greatly enhanced by establishing the smallest meaningful score difference (MSD). We report scores of commonly used PROMs and their MSDs in patients at different stages of liver disease.

METHODS

Patient-Reported Outcomes Measurement Information System (PROMIS)-29 Profile, Chronic Liver Disease Questionnaire (CLDQ), and Short Form-36 (SF-36) v1.0 scores were aggregated from 2442 adults with CLD at 4 different stages: inpatients with decompensated cirrhosis (n=1146) and outpatients with cirrhosis (n=677) or CLD (n=128) or recipients of liver transplant (LT, n=490) between June 2014 and April 2023 from 3 academic centers. MSDs were estimated using distribution and anchor-based methods.

RESULTS

The study sample's median age was 60.0 (IQR: 51.0-66.0); 55% were male, 17% Hispanic, 84% White, and 49% college educated. The etiology of CLD was alcohol in 36%, metabolic dysfunction-associated steatohepatitis (MASH) in 31%, and viral hepatitis B/C in 26%. Median PROMIS domain scores were generally lowest in inpatients and highest after transplant. For PROMIS, distribution-based and anchor-based MSDs ranged from 3 to 4 for individual domains and 4 to 6 for summary scores. Distribution-based MSDs were 1 for CLDQ and ranged from 7 to 11 for individual SF-36 domains, except role limitations domains, which ranged from 15 to 18, and component scores, which were 3. When compared across stages of liver disease, PROMIS MSDs were generally similar, although they tended to be 0.5-1.0 points smaller in the decompensated population compared to the stable populations.

CONCLUSIONS

This study provides data-driven recommendations for MSDs, enhancing the interpretability of commonly used PROMs in liver disease and facilitating the integration of PROMs in various clinical and research settings.

Fitness assessment in acute myeloid leukemia: recommendations from an expert panel on behalf of the European LeukemiaNet

ABSTRACT

Fitness assessment in patients with acute myeloid leukemia (AML) is critical to deliver the right therapy to the right patient. Although several scoring systems are available to aid in determining fitness, the absence of validation studies has resulted in the lack of universally accepted assessment procedures. This limitation, combined with the increasing availability of novel agents expanding the spectrum of less-intensive options, has introduced additional complexity to the fitness assessment process. In this evolving context, fitness should reflect eligibility for a specific treatment among the several available, rather than a generic binary classification of eligibility for intensive chemotherapy. Moreover, the growing emphasis on patient-centered care, further highlights the importance of integrating quality of life, patient preferences, patient self-reported physical and social functioning status, social support, and early integration of palliative care into the assessment framework. A modern interpretation of fitness assessment should incorporate a comprehensive evaluation that extends beyond traditional clinical and biological disease characteristics. Thus, fitness assessment in patients with AML represents only 1 piece of a larger puzzle, encompassing the patient's overall capacity to sustain and benefit from a specific therapeutic program.

Revolutionizing Patient-Reported Outcomes Analysis for Oncology Drug Development Using Population Models

Patient-reported outcomes (PRO) play a crucial role as clinical endpoint in oncology trials. Traditional statistical methods, such as hypothesis testing, have been commonly used by pharmaceutical industry and regulators to evaluate treatment efficacy on PRO endpoints. However, the analysis of PRO data remains challenging because of high variability and missing data issues. In this study, we will present examples in which inappropriate statistical analyses of PRO data can confound treatment efficacy analyses. To overcome these challenges, we propose the application of individual participant data and population models. Population models have been extensively used in pharmacokinetics and pharmacodynamics analyses and are well accepted by regulators. However, their potential in PRO data analyses, particularly in the field of oncology, remains largely untapped. This perspective article aims to highlight the value of population modeling approaches in PRO data analyses for oncology clinicians and researchers. Population models integrate individual participant data and can effectively handle the substantial variability in PRO measurements by incorporating covariates, between-subject variability, and accounting for measurement noise. By leveraging information from the population, this approach also provides accurate estimations for participants with missing data or sparse sampling. Moreover, these models could be applied to predict long-term PRO dynamics. If used appropriately, population modeling approaches could revolutionize the analysis of PRO data in oncology drug development, enabling a more comprehensive understanding of the impact of treatment on patients' lives. Our aim is to encourage stakeholders to consider population modeling as a standard and effective tool to enhance decision-making and ultimately improve patient care.

Prognostic value of baseline EORTC QLQ-C30 scores for overall survival across 46 clinical trials covering 17 cancer types: a validation study

Background

A pooled data analysis by Quinten et al. (2009) found three European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) health-related quality of life (HRQoL) scales to be prognostic for survival: physical functioning, pain and appetite loss. This study aims to replicate these findings in an independent data set comprising a broader cancer population.

Methods

Data were obtained from 46 clinical trials across three cancer research networks conducted between 1996 and 2013 that assessed HRQoL using the EORTC QLQ-C30. A stratified Cox proportional hazards model was employed to assess the prognostic significance of baseline QLQ-C30 scale scores on overall survival, adjusting for socio-demographic and clinical variables. Stepwise model selection was done at 5% significance level. Model stability and prognostic accuracy were evaluated via bootstrapping and the C index respectively.

Findings

Data from 16,210 patients reporting HRQoL at baseline, spanning 17 cancer types, was used. The stratified multivariable model confirmed that better physical functioning (hazard ratio [HR], 0.94; 95% confidence interval [CI], 0.93-0.96), lower pain (HR, 1.02; 95% CI, 1.01-1.03), and appetite loss (HR, 1.04; 95% CI, 1.03-1.05) were significantly associated with survival. Additionally, global health status/QoL, dyspnoea, emotional and cognitive functioning were found to be prognostic for survival. This final model, encompassing sociodemographic, clinical, and HRQoL variables, achieved a corrected C index of 0.74, marking a 48% enhancement in discriminatory ability. Bootstrap evaluation indicated no major instability issues.

Interpretation

These results support previous findings that baseline physical functioning, pain, and appetite loss scores, along with four other scales from the EORTC QLQ-C30, predict survival in cancer patients.

Funding

EORTC Quality of Life Group.

Prospective, monocentric observational study on the clinical use and patient satisfaction of an implantable venous access Port

PURPOSE

Long-term totally implantable venous access ports (TIVAP) are essential for administering chemotherapy and parenteral nutrition in cancer patients. This study aimed to evaluate patient satisfaction and postoperative complications, compared to existing literature, emphasizing patient-reported outcomes (PRO) as a critical factor in treatment decisions.

METHODS

A prospective, monocentric observational study included 149 patients requiring TIVAP between April 13 and August 17, 2022. Patient satisfaction was assessed using a questionnaire covering four domains: overall satisfaction, willingness to choose the port again, cosmetic result, and pain experience. A meta-analysis of seven studies (1,035 patients) was performed to establish baseline data. The study assumed a non-inferiority margin of 12 points on a 0-100 scale (lower scores indicating better outcomes). Follow-ups were carried out at four weeks and six months.

RESULTS

Of the 149 patients (mean age 58.8 years, 96% with oncological diseases), 117 (78.5%) TIVAPs were implanted via the cut-down technique, primarily using the cephalic vein (84.6%). Out of 1,240 documented catheter accesses, 91.4% were complication-free. Satisfaction scores demonstrated non-inferiority across all domains compared to literature: overall satisfaction (18.5 vs. 35.6; p < 0.001), willingness to choose the port again (15.8 vs. 29.4; p < 0.001), cosmetic result (38.0 vs. 39.9; p = 0.003), and pain experience (17.1 vs. 31.5; p < 0.001).

CONCLUSION

The study demonstrated adequate patient satisfaction and non-inferiority of the investigated TIVAP system compared to other systems, though no superiority was found in cosmetic outcomes.

Patient-reported Quality of Life and Survival Outcomes in Prostate Cancer: Analysis of the ECOG-ACRIN E3805 Chemohormonal Androgen Ablation Randomized Trial (CHAARTED)

BACKGROUND

Chemohormonal therapy with androgen deprivation therapy and docetaxel (ADT + D) improves overall survival (OS) and quality of life (QOL) at 12 mo versus androgen deprivation therapy (ADT) alone in men with metastatic hormone-sensitive prostate cancer (mHSPC). However, the prognostic role of QOL is unknown in this population.

OBJECTIVE

To study the relationship between QOL, disease characteristics, and OS in men with mHSPC.

DESIGN, SETTING, AND PARTICIPANTS

In this exploratory post hoc analysis, 790 patients with mHSPC completed the QOL instruments Functional Assessment of Cancer Therapy-Prostate (FACT-P), Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F), and Brief Pain Inventory (BPI).

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Log-rank test and Cox proportional hazard models tested the association between QOL and OS by clinical and disease characteristics.

RESULTS AND LIMITATIONS

Baseline higher FACT-P trended toward improved survival after accounting for clinical variables (hazard ratio [HR] 0.80 [0.62, 1.04], p = 0.09), while higher 3-mo FACT-P was independently associated with better survival (HR 0.76 [0.58, 1.0], p = 0.05). Patients with the poorest QOL (bottom quartile) at baseline and 3 mo had longer survival if they received ADT + D rather than ADT alone (median OS 45.2 vs 34.4 mo, HR 0.75 [0.53, 1.05], p = 0.09, and 48.3 vs 29.3 mo, HR 0.69 [0.48, 0.99], p = 0.05 respectively). In contrast, patients with the best QOL (top quartile) at baseline and 3 mo had comparable survival irrespective of whether or not docetaxel was added (median OS 72.1 vs 51.7 mo, HR 0.92 [0.63, 1.36], p = 0.69, and 69.9 vs 68.9 mo, HR 1.11 [0.73, 1.67], p = 0.63, respectively). Survival was linked with baseline FACIT-F (HR 0.76 [0.57, 1.0], p = 0.05), but not BPI (HR 0.98 [0.75, 1.28], p = 0.90).

CONCLUSIONS

Three-month QOL had a stronger independent association with survival. The most symptomatic patients had longer survival with the addition of docetaxel; conversely, the least symptomatic patients did not appear to benefit. Consideration of QOL may enhance decision-making and patient selection when choosing chemohormonal treatment in mHSPC.

PATIENT SUMMARY

Quality of life independently forecasted the survival of men with metastatic hormone-sensitive prostate cancer in the CHAARTED study. Close tracking of quality of life could help patients and clinicians make decisions about the appropriate treatment in this setting.

Symptoms, Symptom Profiles, and Healthcare Utilization in Patients with Hematologic Malignancies: A Retrospective Observational Cohort Study and Latent Class Analysis

Symptom burden is known to be high in patients with hematologic malignancies and can adversely impact patients' quality of life. The aims of this retrospective observational cohort study were to explore symptoms in patients with hematologic malignancies, including during the last year of life, to explore symptom profiles in patients with hematologic malignancies, and to explore associations among symptoms/symptom profiles and demographic, clinical, and treatment-related variables. Symptom prevalence and severity and symptom profiles were explored in patients with hematologic malignancies who completed patient-reported outcome measures (n = 6136) between October 2019 and April 2020. Emergency department visits and hospital admissions during the study period were reviewed. Chart audits were undertaken for patients who died within a year of completing patient-reported outcome measures (n = 432) to explore symptoms and healthcare utilization in the last year of life. Patients with hematologic malignancies in this study reported multiple symptoms co-occurring, with more than 50% of patients reporting four or more symptoms. Classes of co-occurring symptoms (symptom profiles) were associated with demographic and clinical factors as well as with healthcare utilization, particularly emergency department visits. The most reported symptoms were tiredness, impaired well-being, and drowsiness. The findings emphasize the need for more supports for patients with hematologic malignancies, particularly for symptom management.

Proactive assessment of patient reported outcomes in ovarian cancer studies: a systematic review and call for action in future studies

OBJECTIVE

This systematic review aims to evaluate the proactive or real-time assessment of patient reported outcomes in studies involving patients with ovarian cancer undergoing systemic therapy.

METHODS

PubMed, Embase, and Cochrane databases were searched (from database inception until February 2022), and prospective ovarian cancer studies (experimental or observational) that incorporated patient reported outcomes, including quality of life, were included. The primary objective was to assess the ratio of studies incorporating real-time use of patient reported outcomes among those studies performing patient reported outcomes. A secondary objective was to describe the patient reported outcome reporting. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 checklist was followed. Descriptive statistics were used.

RESULTS

3071 articles were screened, with 117 included in the final analysis. Studies were published between 1990 and 2022, and consisted of 35 735 patients (median 140 patients per study; interquartile range 58-415). Median time from patient enrollment initiation to study publication was 7 years (range 1-15). Most studies were experimental/clinical trials (n=93, 79%) followed by observational (n=23, 20%). Therapeutic strategies were assessed in 98% (91/93) of experimental studies, most frequently chemotherapy (n=53, 58%), followed by antiangiogenics or poly-ADP ribose polymerase (PARP) inhibitors (n=8, 9%, each). Patient reported outcomes were the primary endpoint in 7.5% (7/93) and 83% (19/23) of experimental and observational studies, respectively. The ratio of real-time patient reported outcomes assessment/evaluation was 0.9% (1/117).

CONCLUSIONS

Completion of patient reported outcome questionnaires involves time and effort for patients with ovarian cancer. Responses to these questionnaires were only assessed in real time in <1% of analyzed studies. Efforts should be made to incorporate proactive assessment of patient reported outcomes to optimize patient care and safety.

A multicenter phase 2 clinical trial of low-dose subcutaneous decitabine in myelofibrosis

ABSTRACT

Myelofibrosis (MF) in the chronic phase is a challenging disease to treat, and conventional treatment options are geared toward symptom palliation. In this prospective, multicenter, phase 2 trial, 21 patients with MF (18 chronic phase, 2 accelerated phase, and 1 blast phase) were treated with a 10-day schedule of subcutaneous decitabine at 0.3 mg/kg per day. The overall response rate was 33% (95% confidence interval, 15-57), primarily manifested as an improvement in cytopenias. The median duration of response was 7 months (range, 3-44). A high International Prognostic Scoring System risk score, high baseline fetal hemoglobin level, and sustained decrease in circulating CD34+ cell counts were associated with response to decitabine. All patients experienced at least 1 grade 3/4 cytopenia. Nonhematologic toxicities were less frequent, with fatigue, anorexia, and hypocalcemia being the most common. Given the lack of effective therapies in MF with severe cytopenias, this study supports further investigation into the use of hypomethylating agents as single agents or in combination therapies. This trial was registered at www.ClinicalTrials.gov as #NCT00095784.

Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review

PURPOSE

The integration of patient-reported outcomes (PROs) into electronic health records (EHRs) has enabled systematic collection of symptom data to manage post-treatment symptoms. The use and integration of PRO data into routine care are associated with overall treatment success, adherence, and satisfaction. Clinical trials have demonstrated the prognostic value of PROs including physical function and global health status in predicting survival. It is unknown to what extent routinely collected PRO data are used in the development of risk prediction models (RPMs) in oncology care. The objective of the scoping review is to assess how PROs are used to train risk RPMs to predict patient outcomes in oncology care.

METHODS

Using the scoping review methodology outlined in the Joanna Briggs Institute Manual for Evidence Synthesis, we searched four databases (MEDLINE, CINAHL, Embase, and Web of Science) to locate peer-reviewed oncology articles that used PROs as predictors to train models. Study characteristics including settings, clinical outcomes, and model training, testing, validation, and performance data were extracted for analyses.

RESULTS

Of the 1,254 studies identified, 18 met inclusion criteria. Most studies performed retrospective analyses of prospectively collected PRO data to build prediction models. Post-treatment survival was the most common outcome predicted. Discriminative performance of models trained using PROs was better than models trained without PROs. Most studies did not report model calibration.

CONCLUSION

Systematic collection of PROs in routine practice provides an opportunity to use patient-reported data to develop RPMs. Model performance improves when PROs are used in combination with other comprehensive data sources.

Early Changes in Health-Related Quality of Life as a Biomarker of Survival in African Patients with HIV-Associated Kaposi Sarcoma

Sub-Saharan Africa bears the largest public health burden of Kaposi sarcoma (KS), a leading cause of cancer mortality. Quality of life (QOL) assessments in cancer patients can provide information on prognosis beyond traditional biomarkers or biological measures. The prognostic value of QOL measures in patients with HIV-KS was evaluated. Prognostic associations of baseline QOL scores (by quartiles or thresholds for clinical importance) and changes in QOL scores (using minimum important difference) over the first 3 months of therapy were evaluated in 112 participants with HIV-KS randomised to receive ART, with or without chemotherapy. Cox's regression analysis assessed the prognostic contribution of QOL scores from the EORTC QLQ-C30 questionnaire. Survival curves were generated using the Kaplan-Meier method. Baseline QOL scores did not predict overall survival. The change in the 3-month QOL scores for the global health scale, fatigue, and pain domains was prognostic; the hazard ratios were 3.88 (95% CI 1.32-11.38, p = 0.01), 3.72 (95% CI 1.61-8.62, p = 0.00) and 5.96 (95% CI 2.46-14.43, p = 0.00), respectively. QOL assessments can provide useful prognostic information in patients with HIV-KS. Patients lacking meaningful improvement early into treatment represent a population at high risk of death.

[Patient-reported outcomes-the role of the patient's subjective perspective for research and clinical care]

Because only patients can adequately assess symptoms, disability, and quality of life, concordance between a patient's and physician's assessment is often low. Accordingly, patient-reported outcomes (PROs) are increasingly used in research and routine clinical care. In daily practice, PROs are not only applied to measure the patient's perceived outcome of medical treatments, but also to assess their health status before intervention starts. Typically, several patient-reported outcome measures (PROMs), which are reliable and valid, are available for the assessment of the most important PROMs. In daily clinical practice, the integration of PROs can be useful for clinical assessment and treatment planning or for quality management. Currently, the most promising application is routine patient monitoring using digital PROMs (ePROMs). Systematic reviews have revealed that the routine use of PROMs in daily clinical care is associated with, among others, improved physician-patient communication, higher patient satisfaction, reduced symptom burden, higher quality of life, and improved survival. This effect is especially strong if health care professionals continuously receive the results of the PRO monitoring. Patients are usually inclined to disclose their health status, and the positive effects of routine patient monitoring are widely recognized. However, several barriers to using PROs and PROMs still exist.

Exploring the Association between Health-Related Physical Fitness and Quality of Life in Patients with Cancer: A Cross-Sectional Study

Whereas an exercise intervention effectively improves patients' quality of life, little information is available about the contribution of each physical fitness component. This study aims to explore the association between physical fitness components and the quality-of-life domain in patients with cancer. Between September 2021 and August 2023, 160 patients with mixed cancer types visiting the Oncology Unit were selected on a consecutive basis according to selection criteria. They underwent a comprehensive baseline assessment including the six-minute walking test, the handgrip strength test, the isometric leg press test, the back scratch, sit and reach tests, their waist-hip ratio, and their body mass index. The European Organization for Research and Treatment of Cancer Quality of Life and Core Questionnaire was used to measure the quality of life. The sample size was based on the use of regression models to study associations between clinical characteristics and fitness outcomes. All of the analyses were performed using the SPSS v.25 statistical package. Patients had a mean age of 58 years, 68% were female, 42% were affected by breast cancer, and all were receiving anticancer treatments. Higher functional capacity was associated with better global health status (p < 0.0001) and physical (p < 0.0001), role (p < 0.0001), emotional (p = 0.026), and social function (p = 0.016) and inversely linked with fatigue (p = 0.001). Lower-limb flexibility was significantly associated with all of the domains except for role and social functions. The waist-hip ratio was inversely associated with physical function (p < 0.0001) and positively related to fatigue (p = 0.037). Exercise programs aiming to improve the quality of life in cancer should be addressed to optimize these fitness components.

Gemcitabine/nab-paclitaxel vs gemcitabine/carboplatin for advanced urothelial carcinoma

OBJECTIVE

To compare in a phase III trial the efficacy and safety of nanoparticle albumin-bound (nab)-paclitaxel plus gemcitabine (GA) with that of carboplatin plus gemcitabine (GCb) as a first-line treatment for patients with cisplatin-ineligible metastatic urothelial cancer (mUC).

PATIENTS AND METHODS

Treatment-naive, cisplatin-ineligible patients with mUC were assigned randomly to either the GA (both nab-paclitaxel 125 mg/m2 and gemcitabine 1000 mg/m2 on Days 1 and 8, every 21 days) or GCb group (carboplatin area under the free carboplatin plasma concentration versus time curve of 4.5 on Day 1, gemcitabine 1000 mg/m2 on Days 1 and 8, every 21 days). The primary endpoint was progression-free survival (PFS). Secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), safety, and patient-reported outcomes (PROs).

RESULTS

The trial was terminated early because of slow accrual after 54 patients were enrolled: 26 in in the GA group and 28 in the GCb groups. The median PFS was 6.7 vs 5.9 months for the GA and GCb groups, respectively (P = 0.248). The median OS time was 12.1 vs 10.7 months for the GA and GCb groups, respectively (P = 0.837). The ORR and DCR were 40% vs 46.4% (P = 0.637) and 72% vs 68% (P = 0.188) in the GA and GCb groups, respectively. Patients treated with GA showed significantly lower incidence of Grade 3-4 thrombocytopenia and does reduction and delay. Although peripheral sensory neuropathy was higher in the GA arm, no Grade 3 neuropathy occurred. There was no difference in the PROs between the two groups.

CONCLUSION

While not powered for comparison, first-line GA showed similar efficacy and better tolerability and might be considered a rational alternative to GCb.

Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration

For many patients, the cancer continuum includes a syndrome known as cancer-associated cachexia (CAC), which encompasses the unintended loss of body weight and muscle mass, and is often associated with fat loss, decreased appetite, lower tolerance and poorer response to treatment, poor quality of life, and reduced survival. Unfortunately, there are no effective therapeutic interventions to completely reverse cancer cachexia and no FDA-approved pharmacologic agents; hence, new approaches are urgently needed. In May of 2022, researchers and clinicians from Moffitt Cancer Center held an inaugural retreat on CAC that aimed to review the state of the science, identify knowledge gaps and research priorities, and foster transdisciplinary collaborative research projects. This review summarizes research priorities that emerged from the retreat, examples of ongoing collaborations, and opportunities to move science forward. The highest priorities identified include the need to (1) evaluate patient-reported outcome (PRO) measures obtained in clinical practice and assess their use in improving CAC-related outcomes; (2) identify biomarkers (imaging, molecular, and/or behavioral) and novel analytic approaches to accurately predict the early onset of CAC and its progression; and (3) develop and test interventions (pharmacologic, nutritional, exercise-based, and through mathematical modeling) to prevent CAC progression and improve associated symptoms and outcomes.

Protocol of a randomised, controlled trial comparing immediate curative therapy with conservative treatment in men aged ≥75 years with non-metastatic high-risk prostate cancer (SPCG 19/GRand-P)

BACKGROUND

Older men (aged ≥75 years) with high risk, non-metastatic prostate cancer (PCa) are increasingly treated with curative therapy (surgery or radiotherapy). However, it is unclear if curative therapy prolongs life and improves health-related quality of life (HRQoL) in this age group compared to conservative therapy, which has evolved considerably during the last decade.

STUDY DESIGN

The Scandinavian Prostate Cancer Group (SPCG) 19/Norwegian Get-Randomized Research Group-Prostate (GRand-P) is a randomised, two-armed, controlled, multicentre, phase III trial carried out at study centres in Norway, Denmark, Finland, and Sweden.

ENDPOINTS

The primary endpoints are overall survival and HRQoL (burden of disease scale, European Organisation for the Research and Treatment of Cancer [EORTC] Elderly Cancer patients). Secondary endpoints are PCa-specific survival, metastasis-free survival, role-functioning scale (EORTC quality of life questionnaire 30-item core), urinary irritative/obstructive scale (26-item Expanded Prostate Cancer Index Composite [EPIC-26]), bowel scale (EPIC-26), intervention-free survival, PCa morbidity, use of secondary and tertiary systemic therapies, mean quality-adjusted life-years (QALYs), and mean total healthcare costs.

PATIENTS AND METHODS

A total of 980 men (aged ≥75 years) with non-metastatic, high-risk PCa will initially be screened with Geriatric 8 (G8) health status screening tool and Mini-COG© brief cognitive test. Participants identified by G8 as 'fit' or 'frail' will be randomised (ratio 1:1) to either immediate curative therapy (radiotherapy or prostatectomy) or conservative therapy (endocrine therapy or observation). Participants who are unable or unwilling to participate in randomisation will be enrolled in a separate observation group. Randomised patients will be followed for 10 years.

TRIAL REGISTRATION

Ethics approval has been granted in Norway (457593), Denmark (H-22051998), Finland (R23043) and Sweden (Dnr 2023-05296-01). The trial is registered on Clinicaltrials.org (NCT05448547).

Neuropathic Pain Affects Quality of Life in Breast Cancer Survivors with Chemotherapy-Induced Peripheral Neuropathy

BACKGROUND

Despite the significant impact of chemotherapy-induced peripheral neuropathy on the quality of life for breast cancer survivors, there is a notable lack of comprehensive research. Therefore, a crucial need exists for further systematic investigation and inquiry into this matter.

AIMS

This study examined predictors of quality of life in breast cancer survivors with chemotherapy-induced peripheral neuropathy.

DESIGN

A cross-sectional, correlational design.

SETTINGS

This study was conducted at a medical center in northern Taiwan and a teaching hospital in northeastern Taiwan.

PARTICIPANTS/SUBJECTS

One hundred and thirty adult women with breast cancer, who have undergone chemotherapy and obtained a Total Neuropathy Scale-Clinical Version score>0, were enrolled.

METHODS

Neuropathic pain, sleep disturbances, depression, and quality of life were evaluated using multiple regression analysis to identify quality of life predictors. Clinical importance was established using the minimally important difference of Functional Assessment of Cancer Therapy-Breast.

RESULTS

The study indicated that improving depression (B = -10.87, p < .001) and neuropathic pain (B = -8.33, p = .004) may enhance the quality of life of breast cancer survivors with chemotherapy-induced peripheral neuropathy. Moreover, the individual's marital status and family history of breast cancer were identified as predictive factors.

CONCLUSIONS

This study illuminates quality of life determinants for breast cancer survivors with chemotherapy-induced peripheral neuropathy, advocating comprehensive care and addressing depression and neuropathic pain for better outcomes.

Exploring the value of routinely collected data on EQ-5D-5L and other electronic patient-reported outcome measures as prognostic factors in adults with advanced non-small cell lung cancer receiving immunotherapy

Objective

Investigate whether routinely collected electronic patient-reported outcome measures (ePROMs) add prognostic value to clinical and tumour characteristics for adults with advanced non-small cell lung cancer (NSCLC) receiving immunotherapy.

Methods and analysis

We retrospectively analysed data from adults with advanced NSCLC commencing immunotherapy between April 2019 and June 2022. Prognostic factors were ePROMs on quality of life (EuroQoL five-dimension five-level (EQ-5D-5L); EuroQoL Visual Analogue Scale (EQ-VAS)) and symptoms (patient-reported version of the Common Terminology Criteria for Adverse Events v5.0) completed at baseline and the first follow-up. We performed Cox proportional hazard regression for overall survival and time-to-progression as outcomes, and logistic regression for the onset of severe treatment toxicities (grade ≥3).

Results

We included 379 patients; 161 (42.5%) completed ePROMs at baseline. Median overall survival and time-to-progression were 13.5 months (95% CI 11.3 to 16.7) and 10.5 months (95% CI 8.8 to 13.7), respectively. 36 (9.5%) experienced severe treatment toxicities during follow-up. Patients with lower EQ-5D-5L utility scores (HR per 0.1 unit increase 0.84, 95% CI 0.74 to 0.95) and higher symptom burden (HR 1.11; 95% CI 1.04 to 1.19) had poorer overall survival. This was also true for those with decreased EQ-VAS and increased symptom burden between baseline and the first follow-up. Lastly, only decreased EQ-5D-5L utility scores between baseline and the first follow-up were associated with shorter time-to-progression.

Conclusion

ePROMs may add prognostic value to clinical and tumour characteristics for overall survival in adults with advanced NSCLC receiving immunotherapy.

Toward a more patient-centered drug development process in clinical trials for patients with myelodysplastic syndromes/neoplasms (MDS): Practical considerations from the International Consortium for MDS (icMDS)

Notable treatment advances have been made in recent years for patients with myelodysplastic syndromes/neoplasms (MDS), and several new drugs are under development. For example, the emerging availability of oral MDS therapies holds the promise of improving patients' health-related quality of life (HRQoL). Within this rapidly evolving landscape, the inclusion of HRQoL and other patient-reported outcomes (PROs) is critical to inform the benefit/risk assessment of new therapies or to assess whether patients live longer and better, for what will likely remain a largely incurable disease. We provide practical considerations to support investigators in generating high-quality PRO data in future MDS trials. We first describe several challenges that are to be thoughtfully considered when designing an MDS-focused clinical trial with a PRO endpoint. We then discuss aspects related to the design of the study, including PRO assessment strategies. We also discuss statistical approaches illustrating the potential value of time-to-event analyses and their implications within the estimand framework. Finally, based on a literature review of MDS randomized controlled trials with a PRO endpoint, we note the PRO items that deserve special attention when reporting future MDS trial results. We hope these practical considerations will facilitate the generation of rigorous PRO data that can robustly inform MDS patient care and support treatment decision-making for this patient population.

Discovery of distinct cancer cachexia phenotypes using an unsupervised machine-learning algorithm

OBJECTIVES

Cancer cachexia is a debilitating condition with widespread negative effects. The heterogeneity of clinical features within patients with cancer cachexia is unclear. The identification and prognostic analysis of diverse phenotypes of cancer cachexia may help develop individualized interventions to improve outcomes for vulnerable populations. The aim of this study was to show that the machine learning-based cancer cachexia classification model generalized well on the external validation cohort.

METHODS

This was a nationwide multicenter observational study conducted from October 2012 to April 2021 in China. Unsupervised consensus clustering analysis was applied based on demographic, anthropometric, nutritional, oncological, and quality-of-life data. Key characteristics of each cluster were identified using the standardized mean difference. We used logistic and Cox regression analysis to evaluate 1-, 3-, 5-y, and overall mortality.

RESULTS

A consensus clustering algorithm was performed for 4329 patients with cancer cachexia in the discovery cohort, and four clusters with distinct phenotypes were uncovered. From clusters 1 to 4, the clinical characteristics of patients showed a transition from almost unimpaired to mildly, moderately, and severely impaired. Consistently, an increase in mortality from clusters 1 to 4 was observed. The overall mortality rate was 32%, 40%, 54%, and 68%, and the median overall survival time was 21.9, 18, 16.7, and 13.6 mo for patients in clusters 1 to 4, respectively. Our machine learning-based model performed better in predicting mortality than the traditional model. External validation confirmed the above results.

CONCLUSIONS

Machine learning is valuable for phenotype classifications of patients with cancer cachexia. Detection of clinically distinct clusters among cachexic patients assists in scheduling personalized treatment strategies and in patient selection for clinical trials.

15 years of patient-reported outcomes in clinical trials leading to GU cancer drug approvals: a systematic review on the quality of data reporting and analysis

Background

Standardized, high-quality PRO data reporting is crucial for patient centered care in the field of oncology, especially in clinical trials that establish standard of care. This study evaluated PRO endpoint design, conduct and reporting methods in FDA approved drugs for GU malignancies.

Methods

A systematic review of the FDA archives identified GU cancer drug approvals from Feb 2007 to July 2022. ClinicalTrials.gov and PubMed were used to retrieve relevant data. PRO data was screened, and analytic tools, interpretation methods in the published papers and study protocols were reviewed. Compliance with PRO reporting standards were assessed using PRO Endpoint Analysis Score (PROEAS), a 24-point scoring scale from Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium (SISAQOL).

Findings

We assessed 40 trial protocols with 27,011 participants, resulting in 14 renal cell cancer (RCC), 16 prostate cancer (PC), and 10 urothelial cancer (UC) approvals. PRO data was published for 27 trials, with 23 PRO publications (85%) focusing solely on PRO data, while 4 (15%) included PRO data in the original paper. Median time between primary clinical and secondary paper with PRO data was 10.5 months (range: 9-25 months). PROs were not planned as primary endpoints for any study but 14 (52%) reported them as secondary, 10 (37%) as exploratory outcomes, and 3 (11%) lacked any clarity on PRO data as endpoint. Mean PROEAS score of all GU cancers was 11.10 (range: 6-15), RCC (11.86, range: 6-15), UC (11.50, range: 9-14), and PC (10.56, range: 6-15). None met all the SISAQOL recommendations.

Interpretation

Low overall PROEAS score and delays in PRO data publication in GU cancer drug trials conducted in the past decade emphasize the need for improvement in quality of design and conduct of PRO endpoint in future trials and accelerated publication of PRO endpoints, using standardized analysis, and prespecified hypothesis driven endpoint. These improvements are essential for facilitating interpretation and application of PRO study findings to define patient care.

Funding

None.

Changes in prospectively collected patient-reported outcomes among women with incident endometrial cancer

PURPOSE

We examined associations between patient and treatment characteristics with longitudinally collected patient-reported outcome (PRO) measures to provide a data-informed description of the experiences of women undergoing treatment for endometrial cancer.

METHODS

We administered National Institutes of Health Patient Reported Outcomes Measurement Information System (PROMIS) questionnaires at the preoperative visit and at 6 and 12 months after surgery. Anxiety, depression, fatigue, sleep disturbance, pain, physical function, and ability to participate in social roles were assessed. Analysis of variance (ANOVA) and linear mixed models were used to examine associations between patient characteristics and PRO measures at baseline and through time.

RESULTS

Of 187 women enrolled, 174 (93%) and 103 (69%) completed the 6- and 12-month questionnaires, respectively. Anxiety was substantially elevated at baseline (half of one population-level standard deviation) and returned to general population mean levels at 6 and 12 months. Younger age, Medicaid/None/Self-pay insurance, prevalent diabetes, and current smoking were associated with higher symptom burden on multiple PRO measures across the three time points. Women with aggressive histology, higher disease stage, or those with adjuvant treatment had worse fatigue at 6 months, which normalized by 12 months.

CONCLUSIONS

We observed a high symptom burden at endometrial cancer diagnosis, with most PRO measures returning to general population means by 1 year. Information on risk factor-PRO associations can be used during the clinical visit to inform supportive service referral.

IMPLICATIONS FOR CANCER SURVIVORS

These findings can inform clinicians' discussions with endometrial cancer survivors regarding expected symptom trajectory following diagnosis and treatment.

Health-related quality of life thresholds of clinical importance at diagnosis can predict longitudinal post-operative health functioning in colorectal cancer patients: A prospective multicentre observational study

BACKGROUND

Health-related quality of life (HRQOL) is an increasingly important outcome in colorectal cancer (CRC) treatment. Established thresholds for clinical importance (TCI) permit an absolute interpretation of HRQOL scores but less emphasis has been placed on whether these can be used in a predictive manner. This study aimed to examine if patients' baseline HRQOL functioning scores, subgrouped based on TCI, would significantly predict HRQOL over time.

METHODS

211 CRC patients were prospectively followed up from diagnosis to 18 months after surgery. Patients were administered the EORTC Core Quality of Life Questionnaire (EORTC QLQ-C30) at each timepoint. Baseline demographic and clinical data were extracted from electronic medical records.

RESULTS

Only the physical and emotional functioning scales of the EORTC QLQ-C30 were utilised with their respective TCIs (score of ≤83 for physical; ≤71 for emotional). Physical functioning was below-threshold for most patients at pre-discharge (81.77 %) and 1-month (56.48 %) before stabilising to baseline proportions by 6-month. For emotional functioning, 22.04 %-30.98 % of patients were below-threshold between baseline to 3-month, stabilising to approximately 14.00 % after 6-month. Baseline TCI subgrouping was significantly associated with change in HRQOL scores over time for both the physical (β = 14.09, 95 % CI: 8.22, 19.97) and emotional (β = 25.66, 95 % CI: 18.79, 32.53) functioning scales (p < 0.01).

CONCLUSION

EORTC QLQ-C30 TCIs can be utilised not just to concretely identify clinically significant impairments in presenting CRC patients, but also as potential predictive tools towards more value-driven delivery of pre- and post-surgical supportive and allied healthcare.

Self-Reported Baseline Quality of Life Mirrors Treatment-Specific Characteristics of Cancer Patients

BACKGROUND

Baseline quality of life (bQL) has been shown to be a predictor of the clinical outcome of oncological patients. The primary objective of the present study was to examine the role of bQL as a treatment predictor in oncological patients.

METHODS

In this prospective study, all-stage cancer patients registered in the Network Oncology registry were enrolled, and their bQL at diagnosis was evaluated.

RESULTS

Five hundred and thirty-eight oncological patients were eligible (median age 64 years). We show that survival-predicting bQL variables such as pain, low physical functioning or financial burden at tumor diagnosis were linked to lower systemic treatment (p = 0.03), reduced surgery (p = 0.007) or reduced oncological treatment compliance (0.01), respectively. Lastly, female gender and older cancer patients exhibited a tempered bQL.

CONCLUSION

Our study is one of the first to reveal that bQL at tumor diagnosis is significantly associated with the prediction of oncological treatment with distinctive age- and gender-related patterns. Our results emphasize the need to address the physical, psychosocial, and financial burden of cancer patients prior to their oncological treatment with respect to age and gender. The associations found here pave the way for early integration of patient-reported outcomes into oncological supportive concepts.

Time to deterioration of patient-reported outcomes as a surrogate of overall survival: a meta-analysis

BACKGROUND

Overall survival is the optimal marker of treatment efficacy in randomized clinical trials (RCTs) but can take considerable time to mature. Progression-free survival (PFS) has served as an early surrogate of overall survival but is imperfect. Time to deterioration in quality of life (QOL) measures could be a surrogate for overall survival.

METHODS

Phase 3 RCTs in solid malignancies that reported overall survival, PFS, and time to deterioration in QOL or physical function published between January 1, 2010, and June 30, 2022, were evaluated. Weighted regression analysis was used to assess the relationship between PFS, time to deterioration in QOL, and time to deterioration in physical function with overall survival. The coefficient of determination (R2) was used to quantify surrogacy.

RESULTS

In total, 138 phase 3 RCTs were included. Of these, 47 trials evaluated immune checkpoint inhibitors and 91 investigated non-immune checkpoint inhibitor agents. Time to deterioration in QOL (137 RCTs) and time to deterioration in physical function (75 RCTs) performed similarly to PFS as surrogates for overall survival (R2 = 0.18 vs R2 = 0.19 and R2 = 0.10 vs R2 = 0.09, respectively). For immune checkpoint inhibitor studies, time to deterioration in physical function had a higher association with overall survival than with PFS (R2 = 0.38 vs R2 = 0.19), and PFS and time to deterioration in physical function did not correlate with each other (R2 = 0). When time to deterioration in physical function and PFS are used together, the coefficient of determination increased (R2 = 0.57).

CONCLUSIONS

Time to deterioration in physical function appears to be an overall survival surrogate measure of particular importance for immune checkpoint inhibitor treatment efficacy. The combination of time to deterioration in physical function with PFS may enable better prediction of overall survival treatment benefit in RCTs of immune checkpoint inhibitors than either PFS or time to deterioration in physical function alone.

Prognostic value of patient reported outcomes in advanced gastro-oesophageal cancer: a systematic review

To summarise the prognostic value of patient-reported outcomes (PROs) in advanced gastro-oesophageal (GO) cancer. We systematically searched multiple databases using search terms related to advanced GO cancer, PRO and prognosis. Studies examining the relationship between baseline PROs and prognosis were included. Two reviewers independently screened articles and extracted data on study design, survival and associations between PROs and survival, in both univariable and multivariable analyses. QUIPS was used for quality assessment. From 3004 studies screened, seven studies were eligible, comprising PRO data from 2761 of 3408 (81%) participants. Median survival times ranged from 4.5 to 9.5 months. Among participants with oesophageal squamous cell carcinoma (SCC), physical functioning, social functioning and fatigue (QLQ-C30) were associated with overall survival (OS) in one univariable analysis. Among three studies of participants with adenocarcinoma, univariable analyses revealed associations between OS and global quality of life (QOL), physical functioning, role functioning and social functioning; two studies showed association with pain. There was an association between emotional functioning, fatigue, lack of mobility, lack of self-care, appetite loss/anorexia and OS in one study. One multivariable analysis among participants with oesophageal SCC showed physical and social functioning was associated with OS. Among participants with adenocarcinoma, multivariable analyses showed associations between OS and physical functioning/lack of mobility, appetite loss/anorexia (three studies), global QOL, role functioning/lack of self-care, pain (two studies) and social functioning (one study). Physical functioning, role functioning, social functioning, pain, anorexia and global QOL were associated with OS in advanced GO cancer.

Patient-reported Physical Function Is Associated With Survival After Lung Resection for Non-Small Cell Lung Cancer

BACKGROUND

We investigated the association between preoperative quality of life and long-term survival in patients undergoing surgical resection for non-small cell lung cancer.

METHODS

Retrospective analysis was conducted on 388 consecutive patients who completed the quality of life assessment through the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30 and lung cancer specific module (LC13), before anatomic lung resection for non-small cell lung cancer (2014-2018). Survival distribution was estimated by the Kaplan-Meier method. Cox proportional hazards regression and competing risk regression analyses were used to assess the independent association of preoperative patient-reported outcomes with overall and cancer-specific survival.

RESULTS

Higher score in patient-reported physical functioning was significantly associated with longer overall survival. Factors significantly associated with poorer overall survival remained older age (P = .005), low body mass index (P = .007), male sex (P < .001), and nodal involvement (P = .007). Competing regression analysis found that worse baseline lung cancer-specific dyspnea (P = .03), low body mass index (P = .01), worse performance status (P = .03), and lymph node involvement (P = .01) were significantly associated with poorer cancer-specific survival.

CONCLUSIONS

Higher patient-reported physical function score was associated with longer overall survival after resection. Our study highlights the significance of routinely collecting quality of life data to aid preoperative decision making in non-small cell lung cancer.

Fixing the Leaky Pipe: How to Improve the Uptake of Patient-Reported Outcomes-Based Prognostic and Predictive Models in Cancer Clinical Practice

PURPOSE

This discussion paper outlines challenges and proposes solutions for successfully implementing prediction models that incorporate patient-reported outcomes (PROs) in cancer practice.

METHODS

We organized a full-day multidisciplinary meeting of people with expertise in cancer care delivery, PRO collection, PRO use in prediction modeling, computing, implementation, and decision science. The discussions presented here focused on identifying challenges to the development, implementation and use of prediction models incorporating PROs, and suggesting possible solutions.

RESULTS

Specific challenges and solutions were identified across three broad areas. (1) Understanding decision making and implementation: necessitating multidisciplinary collaboration in the early stages and throughout; early stakeholder engagement to define the decision problem and ensure acceptability of PROs in prediction; understanding patient/clinician interpretation of PRO predictions and uncertainty to optimize prediction impact; striving for model integration into existing electronic health records; and early regulatory alignment. (2) Recognizing the limitations to PRO collection and their impact on prediction: incorporating validated, clinically important PROs to maximize model generalizability and clinical engagement; and minimizing missing PRO data (resulting from both structural digital exclusion and time-varying factors) to avoid exacerbating existing inequalities. (3) Statistical and modeling challenges: incorporating statistical methods to address missing data; ensuring predictive modeling recognizes complex causal relationships; and considering temporal and geographic recalibration so that model predictions reflect the relevant population.

CONCLUSION

Developing and implementing PRO-based prediction models in cancer care requires extensive multidisciplinary working from the earliest stages, recognition of implementation challenges because of PRO collection and model presentation, and robust statistical methods to manage missing data, causality, and calibration. Prediction models incorporating PROs should be viewed as complex interventions, with their development and impact assessment carried out to reflect this.

Patient-Reported Outcomes as Interradiographic Predictors of Response in Non-Small Cell Lung Cancer

PURPOSE

Minimally invasive biomarkers have been used as important indicators of treatment response and progression in cancers such as prostate and ovarian. Unfortunately, all biomarkers are not prognostic in all cancer types and are often not routinely collected. Patient-reported outcomes (PRO) provide a non-obtrusive, personalized measure of a patient's quality of life and symptomatology, reported directly from the patient, and are increasingly collected as part of routine care. Previous literature has shown correlations between specific PROs (i.e., insomnia, fatigue) and overall survival. Although promising, these studies often only consider single time points and ignore patient-specific dynamic changes in individual PROs, which might be early predictors of treatment response or progression.

EXPERIMENTAL DESIGN

In this study, PRO dynamics were analyzed to determine if they could be used as interradiographic predictors of tumor volume changes among 85 patients with non-small cell lung cancer undergoing immunotherapy. PRO questionnaires and tumor volume scans were completed biweekly and monthly, respectively. Correlation and predictive analysis were conducted to identify specific PROs that could accurately predict patient response.

RESULTS

Changes in tumor volume over time were significantly correlated with dizziness (P < 0.005), insomnia (P < 0.05), and fatigue (P < 0.05). In addition, cumulative changes in insomnia could predict progressive disease with a 77% accuracy, on average 45 days prior to the next imaging scan.

CONCLUSIONS

This study presents the first time that patient-specific PRO dynamics have been considered to predict how individual patients will respond to treatment. This is an important first step in adapting treatment to improve response rates.

Exploring the Use of a Digital Platform for Cancer Patients to Report Their Demographics, Disease and Therapy Characteristics, Age, and Educational Disparities: An Early-Stage Feasibility Study

INTRODUCTION

The increasing burden of cancer, the development of novel therapies, and the COVID-19 pandemic have made cancer care more complex. Digital innovation was then pushed toward developing platforms to facilitate access to cancer care. Age, education, and other disparities were, however, shown to limit the use of the digital health innovation. The aim of this early-stage feasibility study was to assess whether Greek cancer patients would register at CureCancer and self-report their demographics, disease and therapy characteristics, and socioeconomic issues. The study was organized by the Hellenic Society of Medical Oncology.

METHODS

Patients from nine cancer centers were invited to register on the CureCancer platform and complete an anonymous questionnaire on demographics, disease and therapy characteristics, and socioeconomic issues. Patients were also encouraged to upload, in a secure area for them, their medical files and share them with their physicians. They were then asked to comment on their experience of registration and how easy it was to upload their medical files.

RESULTS

Of the 159 patients enrolled, 144 (90.56%) registered, and 114 of those (79.16%) completed the questionnaire, suggesting that the study is feasible. Users' median age was 54.5 years, and 86.8% of them were university and high school graduates. Most patients (79.8%) reported their specific type of cancer diagnosis, and all reported their therapy characteristics. Breast and lung cancers were the most common. A total of 87 patients (76.3%) reported being on active cancer therapy, 46 (40.4%) had metastatic disease, and 51 (44.7%) received supportive care medications. Eighty-one (71.05%) patients received prior cancer therapies, and twenty-seven recalled prior supportive care medications. All patients reported visiting non-oncology Health Care Professionals during the study. Nineteen of 72 (26.39%) patients who worked prior to cancer diagnosis changed work status; 49 (42.98) patients had children under 24 years; and 16 (14%) patients lived alone. Nine (7.9%) patients were members of patient associations. Registration was "much/very much" easy for 98 (86.0%) patients, while 67 (58.8%) had difficulties uploading their files. Patients commented on the well-organized data access, improved communication, feeling safe, medication adherence, interventions from a distance, and saving time and money. Over 80% of patients "preferred the digital way".

DISCUSSION

A total of 114 patients succeeded in registering on the digital platform and reporting their demographics, disease and therapy characteristics, and socioeconomic issues. Age and educational disparities were disclosed and highlighted the need for educational programs to help older people and people of lower education use digital innovation. Health care policy measures would support patients' financial burden associated with work changes, living alone, and children under 24 years old at school or college. Policy actions would motivate patients to increase their participation in patient associations. According to the evidence DEFINED framework, the number of patients, and the focus on enrollment, engagement, and user experience, the study fulfills actionability level criterion 1.

Survival Prediction of Patients Who Were Terminally Ill Using the EORTC QLQ-C15-PAL Scores and Laboratory Test Values

Background

Prognostics for patients with cancer is especially important for the supportive care of those who are terminally ill. We previously found that symptom scores as patient-reported outcomes (PROs)-such as dyspnea and fatigue scores-some biochemical parameters, the palliative performance scale (PPS) scores, and symptom clusters were useful prognostic factors; however, the predictability of a prognosis based on these factors remains unclear.

Objective

To identify appropriate three-week survival predictive factor(s), in terms of performance, in patients who were terminally ill.

Design

We collected symptom scores as PROs using the Japanese version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL).

Setting/Subjects

We used data from terminally ill patients with cancer who were hospitalized at the palliative care unit of the Higashisumiyoshi-Morimoto Hospital (Osaka, Japan) from June 2018 to December 2019 (n = 130), as well as additional data obtained from the same clinical study from January to March 2020 (n = 31).

Measurements

To evaluate predictive performance, indices such as sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy were calculated.

Results

We found that the presence of a symptom cluster showed high sensitivity but low specificity and that a higher PPS value (>30) showed high specificity but low sensitivity, suggesting that these factors could provide relevant information for survival prognosis (less than or equal to three weeks).

Conclusion

Symptom clusters obtained from patients is important for effective supportive care of those who are terminally ill.

Clinical outcome assessment trends in clinical trials-Contrasting oncology and non-oncology trials

BACKGROUND

Clinical outcome assessments (COAs) are key to patient-centered evaluation of novel interventions and supportive care. COAs are particularly informative in oncology where a focus on how patients feel and function is paramount, but their incorporation in trial outcomes have lagged that of traditional survival and tumor responses. To understand the trends of COA use in oncology and the impact of landmark efforts to promote COA use, we computationally surveyed oncology clinical trials in ClinicalTrials.gov comparing them to the rest of the clinical research landscape.

METHODS

Oncology trials were identified using medical subject heading neoplasm terms. Trials were searched for COA instrument names obtained from PROQOLID. Regression analyses assessed chronological and design-related trends.

RESULTS

Eighteen percent of oncology interventional trials initiated 1985-2020 (N = 35,415) reported using one or more of 655 COA instruments. Eighty-four percent of the COA-using trials utilized patient-reported outcomes, with other COA categories used in 4-27% of these trials. Likelihood of COA use increased with progressing trial phase (OR = 1.30, p < 0.001), randomization (OR = 2.32, p < 0.001), use of data monitoring committees (OR = 1.26, p < 0.001), study of non-FDA-regulated interventions (OR = 1.23, p = 0.001), and in supportive care versus treatment-focused trials (OR = 2.94, p < 0.001). Twenty-six percent of non-oncology trials initiated 1985-2020 (N = 244,440) reported COA use; they had similar COA-use predictive factors as oncology trials. COA use increased linearly over time (R = 0.98, p < 0.001), with significant increases following several individual regulatory events.

CONCLUSION

While COA use across clinical research has increased over time, there remains a need to further promote COA use particularly in early phase and treatment-focused oncology trials.

Factors influencing the implementation of shared decision-making in breast cancer care: protocol for a mixed-methods study

INTRODUCTION

Chile is committed to actively involving patients in their healthcare. However, little is known about how this is translated into clinical encounters. Breast cancer (BC) is the first cause of cancer-related death in Chilean women. National policy guarantees standard care, and treatment decisions should be made along this process that can have long-term consequences for women. So, BC is a particularly well-suited case study to understand the complexity of patient participation in decision-making.

OBJECTIVE

To identify the factors that affect the active involvement of patients in the BC treatment decision-making process, considering the perspectives and practices of health professionals and women facing the disease.

METHOD AND ANALYSIS

We will conduct a mixed-method study through a convergent parallel design in three stages: (1) A qualitative study: non-participant observation of the tumour board (TB) meetings; semi-structured interviews with key informants from TBs; documentary analyses; semi-structured interviews with women facing BC; and non-participant observations of clinical encounters; (2) a cross-sectional study with 445 women facing BC stages I-III from three hospitals in Santiago, Chile. We will measure the level of expected participation, experienced participation, decisional conflict, quality of life (QoL) and satisfaction with healthcare. Descriptive analysis will be performed, and multivariable binary logistic regression models will be adjusted to identify factors associated with high levels of QoL or satisfaction; (3) an integration study will bring together the data through a joint display technique.

ETHICS AND DISSEMINATION

The study has been conceived and will be conducted according to international and local agreements for ethical research. Ethical approval has been granted by two Ethics Committees in Chile.The results will be disseminated to scientific and lay audiences (publications in scientific journals and conferences, seminars and a website for plain language dissemination).

Patient-Reported Outcomes in Colorectal Surgery

Given the increased life expectancy and improvements in the treatment of colorectal patients, the success of a treatment course can no longer be determined only by objective outcomes. Health care providers ought to take into consideration the impact an intervention will have on the quality of life of patients. Endpoints that take into account the patient's perspective are defined as patient-reported outcomes (PROs). PROs are assessed through patient-reported outcome measures (PROMs), usually in the form of questionnaires. PROs are especially important in colorectal surgery, whose procedures can often be associated with some degree of postoperative functional impairment. Several PROMs are available for colorectal surgery patients. However, while some scientific societies have offered recommendations, there is no standardization in the field and PROMs are seldom implemented in clinical practice. The routine use of validated PROMs can guarantee that functional outcomes are followed over time; this way, they can be addressed in case of worsening. This review will provide an overview of the most commonly used PROMs in colorectal surgery, both generic and disease specific, as well as a summary of the available evidence in support of their routine utilization.

Predictive value of health-related quality of life on radiotherapy-related toxicities in patients with head and neck cancer

PURPOSE

Little is known about whether baseline health-related quality of life (HRQoL) scores also could predict occurrence radiotherapy-related toxicities, which we aim to assess in this study.

METHODS

This study analyzed data from 200 patients enrolled in randomized study investigating the utility of HRQoL. HRQOL was assessed at baseline and during follow up using QLQ-C30 questionnaire and major toxicity was considered as adverse event ≥ 3 according to NCI-CTCAE classification. Cox regressions adjusting for clinical and sociodemographic data were used to assess prognostic significance of HRQOL scores.

RESULTS

In multivariable analyses adjusted on clinical and sociodemographic data, every 10-point improvement in physical (HR = 0.74), role (HR = 0.87) and social (HR = 0.88) functioning was associated with 24%, 13% and 12% lower hazard of occurrence of major toxicity respectively while every 10 point-increase in dyspnea (HR = and loss appetite was associated with 15% and 16% increased hazard of major toxicity.

CONCLUSION

Certain baseline HRQoL scores were found to be significantly associated with the occurrence of major toxicity.

The prognostic value of patient-reported outcomes in allogeneic hematopoietic stem cell transplantation: exploratory analysis of a randomized nutrition intervention trial

Whether patient-reported outcomes (PROs) can predict overall survival (OS) and non-relapse mortality (NRM) among recipients of allogeneic stem cell transplantation (allo-HSCT), is unclear. We performed an exploratory analysis of the prognostic value of patient-reported outcomes (PROs) among 117 recipients of allogeneic stem cell transplantation (allo-HSCT) who participated in a randomized nutrition intervention trial. Cox proportional hazards models were used to investigate possible associations between PROs collected pre-allo-HSCT (baseline) using scores from the EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30) and 1-year overall survival (OS), whereas logistic regression was used to study associations between these PROs and 1-year non-relapse mortality (NRM). Multivariable analyses indicated that only the Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI) and the European Bone Marrow Transplantation (EBMT) risk score were associated with 1-year OS. In the multivariable model including clinical-sociodemographic factors for 1-year NRM, our analysis showed that living alone (p=0.009), HCT-CI (p=0.016), EBMT risk score (p=0.002), and stem cell source (p=0.046) could be associated with 1-year NRM. Moreover, in the multivariable model, our analysis showed that only appetite loss from the QLQ-C30 was associated with 1-year NRM (p=0.026). In conclusion, in this specific setting, our analysis suggests that the commonly used HCT-CI and EBMT risk scores could be predictive for both 1-year OS and 1-year NRM, whereas baseline PROs in general were not.

Usability evaluation of mobile phone technologies for capturing cancer patient-reported outcomes and physical functions

Background

By eliminating the requirement for participants to make frequent visits to research sites, mobile phone applications ("apps") may help to decentralize clinical trials. Apps may also be an effective mechanism for capturing patient-reported outcomes and other endpoints, helping to optimize patient care during and outside of clinical trials.

Objectives

We report on the usability of Digital BioMarkers for Clinical Impact (DigiBioMarC™ (DBM)), a novel smartphone-based app used by cancer patients in conjunction with a wearable device (Apple Watch®). DBM is designed to collect patient-reported outcomes and record physical functions.

Methods

In a fully decentralized "bring-your-own-device" smartphone study, we enrolled 54 cancer patient and caregiver dyads from Kaiser Permanente Northern California (KPNC) from October 2020 through March 2021. Patients used the app for at least 28 days, completed weekly questionnaires about their symptoms, physical functions, and mood, and performed timed physical tasks. Usability was determined through a subset of the Mobile App Rating Scale (MARS), the full System Usability Scale (SUS), the Net Promoter Score (NPS), and semi-structured interviews.

Results

We obtained usability survey data from 50 of 54 patients. Median responses to the selected MARS questions and the mean SUS scores indicated above average usability. The NPS from the semi-structured interviews at the end of the study was 24, indicating a favorable score.

Conclusions

Cancer patients reported above average usability for the DBM app. Qualitative analyses indicated that the app was easy to use and helpful. Future work will emphasize implementing further patient recommendations and evaluating the app's clinical efficacy in multiple settings.

An implementation study of electronic assessment of patient-reported outcomes in inpatient radiation oncology

Purpose

Despite evidence for clinical benefits, recommendations in guidelines, and options for electronic data collection, routine assessment of patient-reported outcomes (PROs) is mostly not implemented in clinical practice. This study aimed to plan, conduct and evaluate the implementation of electronic PRO (e-PRO) assessment in the clinical routine of an inpatient radiation oncology clinic.

Methods

The guideline- and evidence-based, stepwise approach of this single-center implementation study comprised preparatory analyses of current practice, selection of assessment instruments and times, development of staff training, and evidence-based recommendations regarding the use of the e-PRO assessment, as well as on-site support of the implementation. Process evaluation focused on potential clinical benefit (number of documented symptoms and supportive measures), feasibility and acceptance (patient contacts resulting in completion/non-completion of the e-PRO assessment, reasons for non-completion, preconditions, facilitators and barriers of implementation), and required resources (duration of patient contacts to explain/support the completion).

Results

Selection of instruments and assessment times resulted in initial assessment at admission (EORTC QLQ-C30, QSR 10), daily symptom monitoring (EORTC single items), and assessment at discharge (EORTC QLQ-C30). Recommendations for PRO-based clinical action and self-management advice for patients concerning nine core symptoms were developed. Staff training comprised group and face-to-face meetings and an additional e-learning course was developed. Analyses of clinical records showed that e-PRO assessment identified more symptoms followed by a higher number of supportive measures compared to records of patients without e-PRO assessment. Analysis of n = 1597 patient contacts resulted in n = 1355 (84.9%) completed e-PROs (initial assessment: n = 355, monitoring: n = 967, final assessment: n = 44) and n = 242 (15.2%) non-completions. Instructions or support to complete e-PROs took on average 5.5 ± 5.3 min per patient contact. The most challenging issue was the integration of the results in clinical practice.

Conclusion

E-PRO assessment in oncologic inpatient settings is acceptable for patients and can support symptom identification and the initiation of supportive measures. The challenge of making the “data actionable” within the clinical workflow and motivating clinical staff to use the results became evident.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41687-022-00478-3.

Cancer patients’ perceptions regarding their symptoms and functioning are important as they can differ from a professional assessment. Patients’ perceptions and self-assessment can be collected via electronic devices. Thus, the clinical staff can see a graphic overview of individual disease-related burden. Despite studies indicating the benefit of this assessment for care and symptom management, it is not integrated into routine care so far. The aim of our study was, to plan, conduct and evaluate the implementation of electronic patient-reported assessment in a radio-oncology inpatient clinic under “real-life” clinical conditions instead of study conditions. Patients could complete an electronic assessment at the beginning/end and during their treatment. Results indicate that electronic self-assessment can identify more symptoms than the assessment of physicians and nurses. Patients completing a self-assessment are more likely to receive supportive measures. The majority of 80–90% of patients were willing to complete a self-assessment. On average 5–6 min were needed to explain or support the completion. While the intervention was feasible and acceptable for patients, motivating clinical staff using its results was most challenging. The importance of technical support became evident.

Baseline Health-related Quality of Life Predicts Bladder Cancer-specific Survival Following Radical Cystectomy

BACKGROUND

It has been shown that baseline health-related quality of life (HRQOL) is a valuable prognostic indicator of survival outcomes for various metastatic cancers, but there is no evidence on the prognostic value of baseline HRQOL for patients with bladder cancer undergoing radical cystectomy (RC) and ileal conduit (IC) or orthotopic ileal neobladder (ONB) with curative intent.

OBJECTIVE

To assess the association between baseline HRQOL and survival outcomes following RC.

DESIGN, SETTING, AND PARTICIPANTS

The study included 407 patients with prospectively assessed baseline HRQOL before RC. Patients were stratified according to the Global Health Status (GHS) domain of the European Organization for Research and Treatment of Cancer QLQ-C30 questionnaire, with good general HRQOL defined as GHS ≥70 on the basis of validated cutoff levels. A propensity score-matched analysis of 357 patients (1:2 ratio; 125 patients with GHS ≥70 vs 232 with GHS <70) was performed.

INTERVENTION

RC with IC or ONB.

OUTCOME MEASURES AND STATISTICAL ANALYSIS

The primary endpoint was cancer-specific survival (CSS). The secondary endpoints were overall survival (OS) and recurrence-free survival (RFS). Kaplan-Meier and multivariate Cox regression models were constructed to assess the prognostic value of baseline GHS for prediction of survival outcomes.

RESULTS AND LIMITATIONS

Median follow-up was 40.5 mo. The rates of 5-yr CSS (82% vs 65%; p = 0.001), 5-yr OS (76% vs 53%; p = 0.001), and 5-yr RFS (50% vs 39%; p = 0.04) were significantly higher in the GHS ≥70 cohort. GHS ≥70 was confirmed as an independent predictor for CSS (hazard ratio [HR] 0.37, 95% confidence interval [CI] 0.18-0.73; p = 0.004), OS (HR 0.45, 95% CI 0.26-0.79; p = 0.005), and RFS (HR 0.50, 95% CI 0.30-0.83; p = 0.008) in multivariate analyses. Study limitations include the retrospective analysis of prospectively collected data and use of a HRQOL questionnaire not specifically for bladder cancer.

CONCLUSIONS

Our findings suggest that preoperative baseline HRQOL has significant predictive value for outcomes of RC with curative intent for bladder cancer. We found that good general HRQOL at baseline accurately predicts greater CSS, OS, and RFS.

PATIENT SUMMARY

We assessed the association between health-related quality of life at baseline and survival outcomes after radical cystectomy for bladder cancer. We found that good general health-related quality of life at baseline predicts better survival outcomes and that higher baseline scores were associated with greater cancer-specific survival.

Prognostic value of patient-reported outcome measures (PROMs) in adults with non-small cell Lung Cancer: a scoping review

BACKGROUND

There is growing interest in the collection and use of patient-reported outcome measures (PROMs) to support clinical decision making in patients with non-small cell lung cancer (NSCLC). However, an overview of research into the prognostic value of PROMs is currently lacking.

AIM

To explore to what extent, how, and how robustly the value of PROMs for prognostic prediction has been investigated in adults diagnosed with NSCLC.

METHODS

We systematically searched Medline, Embase, CINAHL Plus and Scopus for English-language articles published from 2011 to 2021 that report prognostic factor study, prognostic model development or validation study. Example data charting forms from the Cochrane Prognosis Methods Group guided our data charting on study characteristics, PROMs as predictors, predicted outcomes, and statistical methods. Two reviewers independently charted the data and critically appraised studies using the QUality In Prognosis Studies (QUIPS) tool for prognostic factor studies, and the risk of bias assessment section of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) for prognostic model studies.

RESULTS

Our search yielded 2,769 unique titles of which we included 31 studies, reporting the results of 33 unique analyses and models. Out of the 17 PROMs used for prediction, the EORTC QLQ-C30 was most frequently used (16/33); 12/33 analyses used PROM subdomain scores instead of the overall scores. PROMs data was mostly collected at baseline (24/33) and predominantly used to predict survival (32/33) but seldom other clinical outcomes (1/33). Almost all prognostic factor studies (26/27) had moderate to high risk of bias and all four prognostic model development studies had high risk of bias.

CONCLUSION

There is an emerging body of research into the value of PROMs as a prognostic factor for survival in people with NSCLC but the methodological quality of this research is poor with significant bias. This warrants more robust studies into the prognostic value of PROMs, in particular for predicting outcomes other than survival. This will enable further development of PROM-based prediction models to support clinical decision making in NSCLC.

The predictive value of patient-reported outcomes on the impact of breast cancer treatment-related quality of life

Purpose

Patient-reported outcomes (PROs) have been widely used to measure breast cancer (BC) treatment outcomes. However, evidence is still limited on using routinely PROs to personalize treatment decision-making, including or not chemotherapy, targeted therapy, and radiotherapy. Using patient baseline PRO scores, we aimed to use PROs before treatment initiation to predict improvement or decline in health-related quality of life (HRQoL) due to treatment that they receive.

Methods

In two French cancer sites, women with non-metastatic BC completed the EORTC QLQ-C30 and QLQ-BR23 and BREAST-Q questionnaires to assess their PROs at baseline and again at 6 months. The outcome measured was post-operative change in PROs with minimal important difference for QLQ-C30 domains. We performed multivariate ordinal logistic regression to estimate the incremental probability of post-operative PRO improvements and deteriorations depending upon treatment options and baseline HRQoL.

Results

One hundred twenty-seven women completed questionnaires. Chemotherapy had significant negative impacts on Global health status (GHS) and on physical and social functioning. Chemotherapy and radiotherapy increased patient fatigue scores after adjusting for clinical factors (p< 0.01 and p< 0.05, respectively). The incremental probability of GHS deteriorations for chemotherapy was +0.3, +0.5, and +0.34 for patients with baseline GHS scores of 40, 70, and 100, respectively. This showed that different pre-treatment PROs might predict differential effects of chemotherapy on women change in HRQoL.

Conclusion

Patients with different baseline PRO scores may experience dissimilar impacts from BC treatments on post-operative PROs in terms of improvements and deteriorations. Oncologists might decide to adapt the treatment option based on a given level of the negative impact. Future studies should concentrate on incorporating this information into routine clinical decision-making strategies to optimize the treatment benefit for patients.

A prospective, randomized trial of patient-reported outcome measures to drive management decisions in hematology and oncology

Background

Clinicians have limited time during patient encounters which can result in patients' concerns not being addressed. This study's objective was to test whether an electronic patient-reported outcome quality of life tool (PROQOL) in which patients identify their primary concern during clinic visits improves cancer patient quality of life (QOL).

Patients and methods

This single center non-blinded prospective clinical trial randomized patients (2:1) to PROQOL versus usual care (UC). Two patient cohorts were enrolled: those with hematologic malignancies (multiple myeloma [MM] or light chain amyloidosis [AL]) and solid tumors (head and neck [H/N] or gynecologic [GYN] malignancies). Primary endpoint was patient-reported QOL at 12 months measured by a single-item Linear Analog Self-Assessment. Value to patients and impact on clinician workflow was measured using a "was it worth it" survey. The study was powered to detect a 0.5 standard deviation difference between groups.

Results

Overall 383 patients were enrolled, 171 with MM, 62 AL, 113 GYN, and 37 H/N between July 2016 and April 2018, with 12-month follow-up. There were 171 (44.6%) male patients and median age was 62 years (range 31-87). The most often selected concern was physical health (30.9%), and second was cancer diagnosis and treatment (29.1%). Mean QOL was 7.12 for PROQOL and 6.98 for UC (0-10 scale) at 12 months, with no between-group difference overall (p = 0.56) or within hematologic or solid tumor cohorts, respectively. Among patients, 74% thought the PROQOL tool was worthwhile, 86% would choose PROQOL again, and 81% would recommend it to others. Among clinicians, 95% responded that PROQOL was worthwhile and did not think that PROQOL negatively impacted their workflow.

Conclusions

Although we did not demonstrate a QOL difference between PROQOL and UC groups; the PROQOL tool held considerable value in identifying patients' main concerns over time and was worthwhile for patients and clinicians.

Implementation of a model integrating primary and oncology pharmacists' care for patients taking oral anticancer agents (OAA)

Improvements in chronic myeloid leukemia (CML), chronic lymphocytic leukemia (CLL), and multiple myeloma (MM) treatment options have increased the 5-year survival rates for patients with these hematologic malignancies. In addition to cancer management, these patients may need help to manage multiple chronic conditions (MCC). The overall objective of this study is to examine the impact and implementation of a model that coordinates care between oncology and primary care pharmacists for people taking an oral anti-cancer agent (OAAs) and medications for comorbid chronic conditions. This is a multi-center, prospective, single-arm pilot study that will recruit up to 40 patients from Michigan Medicine and Vanderbilt University Medical Center (VUMC). Eligible participants will be 18 years of age or older, prescribed an OAA, have a diagnosis of either CML, CLL or MM, and be diagnosed with and taking medication for at least two specified chronic conditions. The Pharmacists Coordinated Care Oncology Model (PCOM) is a two-month intervention that builds upon current pharmacist clinical responsibilities. Generally, participants will complete a patient-reported outcome measure at 2 and 6 weeks post-OAA initiation that is sent to their oncology pharmacist, and they will also receive a comprehensive medication review at week 4 from a primary care pharmacist for their chronic medications. The pharmacists will communicate about the results via electronic medical record (EMR) and intervene if necessary. The primary endpoints are (1) dose-adjusted OAA proportion of days covered (PDC), and (2) PDC for chronic condition medications. PDCs will be determined via prescription records. The association of OAA and chronic medication PDCs will be quantified via correlation and chi-squared tests. The association between symptom experience and OAA adherence will be examined via correlation analyses. For implementation, characteristics of patient participants, feasibility, acceptability, adoption, fidelity, and trialability will be described. Data will be collected via EMR and pharmacist and patient interviews. Median/IQR for acceptability, adoption and fidelity will be reported, and patient interviews will be analyzed using a grounded theory approach and pharmacist interviews will be analyzed using thematic analyses.

Association of change in health-related quality of life and treatment discontinuation in metastatic breast cancer: a post hoc, exploratory analysis of two randomized clinical trials

Purpose

Identifying factors associated with treatment alteration (treatment discontinuation and dose reduction) may help to attain the treatment goals for metastatic breast cancer. The value of changes in the quality of life (QOL) in predicting treatment alteration remained unclear. This study aimed to examine the relationship between changes in the QOL and treatment alteration of first-line chemotherapy for metastatic breast cancer.

Methods

We merged data from two randomized clinical trials in Japan, conducted from 2006 to 2017, that included patients who were diagnosed with human epidermal growth factor receptor 2-negative and endocrine treatment-resistant breast cancer, with metastatic disease at presentation or recurrence after surgery. The European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30 was used to assess QOL. The association between change in time-dependent QOL (worsening by 10-point or not) and time to treatment alteration was assessed using the Cox regression models controlling for patient characteristics (age, liver metastasis, hormone status, and treatment regimen) and baseline QOL.

Results

Worsening physical functioning, global health status, and dyspnea were significantly associated with treatment discontinuation. Worsening role functioning, global health status, and fatigue were significantly associated with dose reduction. The threshold for defining worsening did not have a significant impact on the relationship.

Conclusion

Changes in QOL are associated with the probability of treatment alteration among metastatic breast cancer patients. Physical functioning, role functioning, global health status, dyspnea, and fatigue should be prioritized for symptom management in patients with metastatic breast cancer.

Supplementary information

The online version contains supplementary material available at 10.1007/s00520-022-07283-0.

Patient-reported outcomes predict survival and adverse events following anticancer treatment initiation in advanced HER2-positive breast cancer

BACKGROUND

The prognostic value of patient-reported outcomes (PROs) has been minimally explored in advanced breast cancer (BC), and their comparative prognostic performance against Eastern Cooperative Oncology Group performance status (ECOG PS) is largely unknown.

PATIENTS AND METHODS

This study pooled individual participant data from clinical trials CLEOPATRA, EMILIA, and MARIANNE. Pre-treatment PRO associations with overall survival (OS), progression-free survival (PFS), and grade ≥3 adverse events were evaluated via Cox proportional hazards regression. Prognostic performance was assessed with the C-statistic (c). PRO values were collected via the Functional Assessment of Cancer Therapy-Breast (FACT-B) questionnaire. All analyses were stratified by study and treatment arms. Analyses adjusted for known prognostic variables were conducted. Exploratory analysis of the prognostic performance of PROs compared to ECOG PS was undertaken.

RESULTS

The study included data from 2894 patients initiated on contemporary therapies including pertuzumab (n = 765), trastuzumab (n = 1173), trastuzumab emtansine (n = 1225), taxanes (n = 1173), lapatinib (n = 496), and capecitabine (n = 496). On univariable and adjusted analysis, patient-reported physical well-being, functional well-being, and BC subscale were all identified to be associated with OS, PFS, and grade ≥3 adverse events (P < 0.05). Patient-reported physical well-being was the most prognostic PRO for all assessed outcomes. The OS prognostic performance of physical well-being (c = 0.58) was superior to ECOG PS (c = 0.56) (P < 0.05), with multivariable analysis indicating that both provide independent information (P < 0.0001).

CONCLUSIONS

PROs were identified as independent prognostic factors for OS, PFS, and grade ≥3 adverse events in patients with human epidermal growth factor receptor 2 (HER2)-positive advanced BC initiating contemporary treatment options. Further, patient-reported physical well-being was more prognostic of OS than ECOG PS and contained independent information. PROs have value as prognostic and stratification factors for clinical use and research trials of anticancer treatment in HER2-positive ABC.

Electronic Patient Symptom Management Program to Support Patients Receiving Cancer Treatment at Home During the COVID-19 Pandemic

OBJECTIVES

Remote patient monitoring became critical for patients receiving cancer treatment during the COVID-19 pandemic. We sought to test feasibility of an electronic patient symptom management program implemented during a pandemic. We collected and analyzed the real-world data to inform practice quality improvement and understand the patient experience.

METHODS

Eligible patients had breast, lung, or ovarian cancers, multiple myeloma, or acute myeloid leukemia and 12 weeks of planned chemotherapy. Patients were notified that a symptom survey with common symptoms derived from the National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events was available to complete using a smart phone, tablet, or computer. Patients recorded their symptoms and results were sent to the provider. Patients received care guidelines for mild/moderate severity symptoms and a phone call from the provider for severe reports.

RESULTS

A total of 282 patients generated > 119 088 data points. Patients completed 2860 of 3248 assigned surveys (88%), and 152 of 282 patients (54%) had symptom reports that generated an immediate notification to the provider. Longitudinal data were analyzed to determine whether previous reports predicted a notification alert and whether symptoms resolved after the alert was addressed.

CONCLUSIONS

An electronic patient symptom management program was implemented in the midst of the COVID-19 pandemic. Enrollment of 282 patients and a high survey completion (88%) demonstrated feasibility/acceptance. Patients reported symptoms at severe levels of 54% of the time and received self-management instructions and provider phone calls that resolved or decreased the severity of the symptom. A standard approach and validated instrument provide opportunities for improving and benchmarking outcomes.