When will I feel normal again? Trajectories and predictors of persistent symptoms and poor wellbeing after primary chemotherapy for ovarian cancer

Predictive Models for Palliative Care Needs of Advanced Cancer Patients Receiving Chemotherapy

CONTEXT

Early palliative care is recommended within eight-week of diagnosing advanced cancer. Although guidelines suggest routine screening to identify cancer patients who could benefit from palliative care, implementing screening can be challenging due to understaffing and time constraints.

OBJECTIVES

To develop and evaluate machine learning models for predicting specialist palliative care needs in advanced cancer patients undergoing chemotherapy, and to investigate if predictive models could substitute screening tools.

METHODS

We conducted a retrospective cohort study using supervised machine learning. The study included patients aged 18 or older, diagnosed with metastatic or stage IV cancer, who underwent chemotherapy and distress screening at a designated cancer hospital in Japan from April 1, 2018, to March 31, 2023. Specialist palliative care needs were assessed based on distress screening scores and expert evaluations. Data sources were hospital's cancer registry, health claims database, and nursing admission records. The predictive model was developed using XGBoost, a machine learning algorithm.

RESULTS

Out of the 1878 included patients, 561 were analyzed. Among them, 114 (20.3%) exhibited needs for specialist palliative care. After under-sampling to address data imbalance, the models achieved an Area Under the Curve (AUC) of 0.89 with 95.8% sensitivity and a specificity of 71.9%. After feature selection, the model retained five variables, including the patient-reported pain score, and showcased an 0.82 AUC.

CONCLUSION

Our models could forecast specialist palliative care needs for advanced cancer patients on chemotherapy. Using five variables as predictors could replace screening tools and has the potential to contribute to earlier palliative care.

Systematic Review of the Literature on Multiple Co-occurring Symptoms in Patients Receiving Treatment for Gynecologic Cancers

OBJECTIVE

Patients with gynecologic cancers experience a very high symptom burden that has a negative impact on their quality of life. This systematic review aims to identify the common co-occurring symptoms, the prevalence of common symptoms, common instruments used to measure symptoms, associated risk factors, and the symptom burden in patients with gynecologic cancers.

DATA SOURCES

A search of four databases (ie, PubMed, Embase, Web of Science, and CINAHL) was done from January 1, 2012, through September 5, 2022. A qualitative synthesis of the extant literature was performed using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (PRISMA 2020).

CONCLUSION

A total of 118 studies met the prespecified inclusion criteria. Ninety-six symptoms were assessed across these studies. The top six symptoms and their grand mean prevalence rates were lack of energy (64.4%), fatigue (62.1%), abdominal pain (53.3%), depression (52.6%), concentration dysfunction (52.0%), and drowsiness (51.9%). Numerous methodologic challenges were evident across studies. Future research needs to develop a disease-specific symptom assessment measure, evaluate for risk factors associated with a higher symptom burden, and determine the impact of multiple symptoms on patient outcomes.

IMPLICATION FOR NURSING PRACTICE

The results are relevant for oncology clinicians to assess patients with gynecologic cancers for the presence of common symptoms and risk factors for higher symptom burden in the patients and to offer effective management interventions.

Mental health and diet quality after primary treatment for ovarian cancer

AIMS

To investigate anxiety and depression after primary treatment for ovarian cancer in relation to diet quality and intake.

METHODS

In a cohort of women with ovarian cancer in Australia, levels of anxiety and depression (normal, subclinical, and clinical) were assessed using the Hospital Anxiety and Depression Scale at 9 months post-diagnosis. Dietary intake was assessed using a validated food frequency questionnaire at 12 months post-diagnosis and scored using the Healthy Eating Index 2015. Multinomial logistic regression and bivariate analyses were used to investigate relationships between levels of anxiety and depression and subsequent diet quality and intake of food groups.

RESULTS

Of 595 women, anxiety and depression were identified among 128 (21%) and 80 (13%) women, respectively. Compared to women without anxiety or depression, women with subclinical anxiety (odds ratio = 0.49, 95% confidence interval: 0.25-0.98) and those with clinical depression (odds ratio = 0.25, 95% confidence interval: 0.07-0.93) were less likely to score in the highest quartile for diet quality. Separate adjustment for age, education, employment, disease stage, body mass index, and smoking status did not attenuate these associations. In bivariate analyses, women with subclinical anxiety were more likely to report higher intakes of sweet foods. Those with clinical depression were more likely to report lower intakes of orange vegetables and wholegrains, higher intakes of sweetened beverages, and not consume alcohol or soya foods.

CONCLUSIONS

Anxiety or depression after primary treatment for ovarian cancer may be associated with poorer diet quality. Efforts to improve diet quality post-treatment should consider support for mental health.

Survivorship research in advanced gynecological cancer: A scoping review of cohort studies

BACKGROUND

Recent calls to action highlight the need to address gaps in our understanding of survivorship for those living with advanced gynecological cancer to support optimal care. To ensure future research fills these knowledge gaps, we need to understand the breadth of existing survivorship research in this patient group, including the outcomes assessed, the populations included and the duration and retention in follow-up.

METHODS

We conducted a systematic scoping review searching PubMed, PsychINFO, and CINAHL during the month of November 2022 to identify prospective cohort studies measuring survivorship outcomes among participants with advanced (stage III-IV) gynecological cancer, or in cohorts in which ≥50% of participants had advanced cancer, or which provide results separately for patients with advanced cancer. Articles were screened, and data extracted using a standard form.

RESULTS

We assessed 33 articles from 21 unique studies, which overall included 6023 participants with gynecological cancer. Of these, 45% had cervical cancer, 44% ovarian, 10% endometrial/uterine, and 1% vaginal/vulvar cancer. The most frequently measured survivorship outcome was quality of life. Of the 33 articles, most reported on participant age (n = 31), but relatively few reported on comorbidities (n = 10), physical status (n = 6), ethnic background (n = 4), the country of birth (n = 2), or the area of participant residence (n = 2). None included details on indigenous status. Recruitment proportions ranged from 48% to 100%. Retention proportions ranged from 15% to 97%.

CONCLUSION

Our findings highlight gaps in survivorship research for advanced gynecological cancers and emphasize the need for future studies to include and describe the experiences of diverse and underrepresented groups.

Associations Between Distinct State Anxiety Profiles, Exposure to Stressful Life Events, Resilience, and Coping in Patients with Gynecologic Cancers Receiving Chemotherapy

OBJECTIVES

In a sample of patients with gynecologic cancers who are receiving chemotherapy, subgroups of patients with distinct state anxiety profiles were identified, and differences among the subgroups in demographic and clinical characteristics, stress, exposure to stressful life events, resilience, and coping behaviors were evaluated.

DATA SOURCES

Patients (n = 230) completed questionnaires six times over two chemotherapy cycles. State anxiety was measured using the Spielberger State Anxiety Inventory. Subgroups of patients with distinct state anxiety profiles were identified using latent profile analysis. Differences among the classes were assessed using parametric and nonparametric tests.

CONCLUSION

Three distinct state anxiety profiles were identified: low (55.2%), moderate (38.3%), and very high (6.5%). Compared with the low class, persons in the other two classes had lower functional status, more comorbidities, higher perceived stress, and lower resilience and were more likely to report a history of depression and to use disengagement coping strategies. Compared with the low class, the very high class was more likely to report childcare responsibilities; have a history of lung disease, stomach disease, or low back pain; have experienced physical neglect, serious money problems, a serious disaster, or foster care; or were a caregiver for someone with a severe disability.

IMPLICATIONS FOR NURSING PRACTICE

Nearly 45% of patients reported clinically meaningful levels of state anxiety that persisted over two cycles of chemotherapy. Experiences with a variety of stressors may be risk factors for higher levels of anxiety during chemotherapy. Clinicians need to perform comprehensive social histories and assess for anxiety in patients receiving chemotherapy.

Exercise during CHemotherapy for Ovarian cancer (ECHO) trial: design and implementation of a randomised controlled trial

INTRODUCTION

Epidemiological evidence supports an association between higher levels of physical activity and improved cancer survival. Trial evidence is now needed to demonstrate the effect of exercise in a clinical setting. The Exercise during CHemotherapy for Ovarian cancer (ECHO) trial is a phase III, randomised controlled trial, designed to determine the effect of exercise on progression-free survival and physical well-being for patients receiving first-line chemotherapy for ovarian cancer.

METHODS AND ANALYSIS

Participants (target sample size: n=500) include women with newly diagnosed primary ovarian cancer, scheduled to receive first-line chemotherapy. Consenting participants are randomly allocated (1:1) to either the exercise intervention (plus usual care) or usual care alone, with stratification for recruitment site, age, stage of disease and chemotherapy delivery (neoadjuvant vs adjuvant). The exercise intervention involves individualised exercise prescription with a weekly target of 150 minutes of moderate-intensity, mixed-mode exercise (equivalent to 450 metabolic equivalent minutes per week), delivered for the duration of first-line chemotherapy through weekly telephone sessions with a trial-trained exercise professional. The primary outcomes are progression-free survival and physical well-being. Secondary outcomes include overall survival, physical function, body composition, quality of life, fatigue, sleep, lymphoedema, anxiety, depression, chemotherapy completion rate, chemotherapy-related adverse events, physical activity levels and healthcare usage.

ETHICS AND DISSEMINATION

Ethics approval for the ECHO trial (2019/ETH08923) was granted by the Sydney Local Health District Ethics Review Committee (Royal Prince Alfred Zone) on 21 November 2014. Subsequent approvals were granted for an additional 11 sites across Queensland, New South Wales, Victoria and the Australian Capital Territory. Findings from the ECHO trial are planned to be disseminated via peer-reviewed publications and international exercise and oncology conferences.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trial Registry (ANZCTRN12614001311640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367123&isReview=true).

Predictors of the 6-min walk test in patients with ovarian cancer

PURPOSE

To identify the predictors of the 6-min walk test (6MWT) and investigate the relationship between 6MWT, performance status, functional mobility, fatigue, quality of life, neuropathy, physical activity level, and peripheral muscle strength in patients with ovarian cancer (OC).

METHODS

Twenty-four patients diagnosed with stage II-III ovarian cancer were included in the study. Patients were assessed using the following measurement methods: 6MWT for walking capacity, Eastern Cooperative Oncology Group Performance Scale (ECOG-PS) for performance status, an armband physical activity monitor for physical activity level, Checklist Individual Strength (CIS) for fatigue, Functional Cancer Treatment Evaluation with Quality of Life-Extreme (FACT-O) for quality of life, Functional Evaluation of Cancer Treatment/Gynecological Oncology-Neurotoxicity (FACT/GOG-NTX) for neuropathy, a hand-held dynamometer for peripheral muscle strength, and 30-s chair-stand test for functional mobility.

RESULTS

The mean 6MWT distance was 578.48 ± 115.33 meters. 6MWT distance correlated with ECOG-PS score (r = -0.438, p = 0.032), handgrip strength (r = 0.452, p= 0030), METs (r = 0.414, p = 0.044) 30s-CST (r= 0.417, p= 0.043), and neuropathy score (r = 0.417, p = 0.043) significantly. There was no relationship between 6MWT distance and other parameters (p> 0.05). Multiple linear regression analysis demonstrated that performance status was the sole predictor of 6MWT.

CONCLUSION

The walking capacity seems to be associated with performance status, peripheral muscle strength, level of physical activity, functional mobility, and severity of neuropathy in patients with ovarian cancer. Evaluating these may help clinicians to understand factors behind the decreased walking capacity.

Financial toxicity: A practical review for gynecologic oncology teams to understand and address patient-level financial burdens

Financial toxicity describes the adverse impact patients experience from the monetary and time costs of cancer care. The financial burden patients experience comes from substantially increased out-of-pocket spending that often occurs concurrent with reduced income due to sick leave from work. Financial toxicity is common affecting approximately half of patients with a gynecological cancer depending on the validated instrument used for measurement. Financial toxicity is experienced by patients in three domains: economic hardship affecting patients' material conditions (i.e., medical debt), psychological response (i.e., distress), and health-related coping behaviors that patients adopt (i.e., foregoing care due to costs). Higher financial toxicity among cancer patients has been associated with decreased quality of life, impaired adherence to recommended care, and worse overall survival. In this review, we describe the current literature on financial toxicity, including how it can be assessed with validated tools, the downstream impact on patients, risk factors, and employment concerns of survivors. Whenever possible, we highlight data from research featuring patients with gynecologic cancer specifically. We also review studies with interventions aimed to mitigate financial toxicity and offer the reader real world examples of interventions currently being used. Lastly, we provide an overview of health policy developments relevant to financial toxicity and advocate for innovation in the development and implementation of strategies to decrease the financial toxicity patients experience following a diagnosis of gynecologic cancer.

Patient-Reported Outcomes in Ovarian Cancer: Facilitating and Enhancing the Reporting of Symptoms, Adverse Events, and Subjective Benefit of Treatment in Clinical Trials and Clinical Practice

Patient-reported outcomes (PROs) provide a valid, standardized way of assessing symptoms, adverse events and the subjective benefit of treatment from the patient's perspective. Assessment of PROs is critical in ovarian cancer due to the high morbidity of the disease and its treatments. Several well-validated PRO measures are available to assess PROs in ovarian cancer. Their inclusion in clinical trials can provide evidence on the benefits and harms of new treatments based on patients' experiences to guide improvements in clinical practice and health policy. Aggregate PRO data collected in clinical trials can be used to inform patients about likely treatment impacts and assist them to make informed treatment decisions. In clinical practice, PRO assessments can facilitate monitoring of a patient's symptoms throughout treatment and follow-up to guide their clinical management; in this context, an individual patient's responses can facilitate communication with their treating clinician about troublesome symptoms and their impact on their quality of life. This literature review aimed to provide clinicians and researchers with a better understanding of why and how PROs can be incorporated into ovarian cancer clinical trials and routine clinical practice. We discuss the importance of assessing PROs throughout the ovarian cancer disease and treatment trajectory in both clinical trials and clinical practice, and provide examples from existing literature to illustrate the uses of PROs as the goals of treatment change in each setting.

Exploring the links among inflammation and gut microbiome with psychoneurological symptoms and gastrointestinal toxicities in gynecologic cancers: a systematic review

INTRODUCTION

Emerging evidence highlights the roles the gut microbiome and the immune system, integral parts of the gut-brain axis, play in developing various symptoms in cancer patients. The purpose of this systematic review was to describe the roles of inflammatory markers and the gut microbiome, as well as to describe their associations with psychoneurological symptoms and gastrointestinal toxicities in women with gynecologic cancers.

METHODS

A comprehensive literature search was conducted in PubMed, Embase, and Web of Science from January 2000 to February 2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines were utilized to screen the found articles. The quality of the included studies was assessed using the Mixed Method Assessment Tool. In the included studies, various inflammatory markers and gut microbiome diversity and patterns were measured.

RESULTS

Sixteen studies met the eligibility criteria and were included in this systematic review. While there were discrepancies in the associations between various inflammatory markers and symptoms, most of the studies showed positive correlations between interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) and cancer-related psychoneurological symptoms and gastrointestinal toxicities in gynecologic cancer patients. Although there was no consensus in alpha diversity, studies showed significant dissimilarity in the microbial communities (beta diversity) in patients with gastrointestinal toxicities compared with patients without symptoms or healthy controls. Studies also reported inconsistent findings in the abundance of bacteria at different taxonomic levels. Radiation enteritis-derived microbiota could stimulate TNF-α and interleukin 1 beta (IL-1β) secretion.

CONCLUSIONS

Alteration of inflammatory markers, the gut microbiome, and their associations show emerging evidence in the development of psychoneurological symptoms and gastrointestinal toxicities in women with gynecologic cancers. More studies on the interactions between the immune system and the gut microbiome, two integral parts of the gut-brain axis, are required to shed light on the roles they play in symptom development.

Sleep and gynecological cancer outcomes: opportunities to improve quality of life and survival

Sleep is important for immune function, metabolic function and physical repair. Sleep is more commonly disrupted in women compared with men and is disrupted by surgery, chemotherapy, and cancer itself, making gynecological oncology patients at higher risk of insomnia and sleep disruption. Insomnia and sleep disruption are linked to increased pain, poorer quality of life, depression, and anxiety which can all negatively affect patient outcomes. A number of environmental, behavioral, and pharmacological interventions have been investigated to improve patient sleep and aid in the recovery process. It is vital to understand and address patient sleep quality in order to give patients the highest quality care and improve outcomes.

Employment disruption among women with gynecologic cancers

BACKGROUND

Adverse employment outcomes pose significant challenges for cancer patients, though data patients with gynecologic cancers are sparse. We evaluated the decrease in employment among patients in the year following the diagnosis of a gynecologic cancer compared with population-based controls.

METHODS

Patients aged 18 to 63 years old, who were diagnosed with cervical, ovarian, endometrial, or vulvar cancer between January 2009 and December 2017, were identified in Truven MarketScan, an insurance claims database of commercially insured patients in the USA. Patients working full- or part-time at diagnosis were matched to population-based controls in a 1:4 ratio via propensity score. Multivariable Cox proportional hazards models were used to evaluate the risk of employment disruption in patients versus controls.

RESULTS

We identified 7446 women with gynecologic cancers (191 vulvar, 941 cervical, 1839 ovarian, and 4475 endometrial). Although most continued working following diagnosis, 1579 (21.2%) changed from full- or part-time employment to long-term disability, retirement, or work cessation. In an adjusted model, older age, the presence of comorbidities, and treatment with surgery plus adjuvant therapy versus surgery alone were associated with an increased risk of employment disruption (p<0.0003, p=0.01, and p<0.0001, respectively) among patients with gynecologic cancer. In the propensity-matched cohort, patients with gynecologic cancers had over a threefold increased risk of employment disruption relative to controls (HR 3.67, 95% CI 3.44 to 3.95).

CONCLUSION

Approximately 21% of patients with gynecologic cancer experienced a decrease in employment in the year after diagnosis. These patients had over a threefold increased risk of employment disruption compared with controls.

Insomnia and circadian sleep disorders in ovarian cancer: Evaluation and management of underestimated modifiable factors potentially contributing to morbidity

Ovarian cancer is the leading cause of gynaecological cancer deaths and the seventh most commonly diagnosed cancer among women worldwide, so that, as it is related to substantial and increasing disease burden, the management of ovarian cancer survivors should be a priority. Such issues involve prevention and management of emotional distress, anxiety/depressive symptoms, and maintenance of quality of life from initial diagnosis to post-treatment. Within this framework, sleep disturbances, in particular insomnia, are emerging as modifiable determinants of mental health, also contributing to substantial morbidity among cancer, including ovarian cancer. To this aim we conducted a systematic review according to PRISMA guidelines on prevalence and management of insomnia and circadian sleep disorders in ovarian cancer, while selecting 22 papers. Insomnia was evaluated in ovarian cancer and, while circadian sleep disturbances were poorly assessed in ovarian cancer, insomnia increased from 14% to 60% of patients. Insomnia was associated with cancer-related comorbid conditions such as emotional distress, anxiety/depressive symptoms and low quality of life. Despite this evidence, no studies have been conducted about insomnia treatment in ovarian cancer. The burden of insomnia and circadian sleep disorders in patients with ovarian cancer still needs to be addressed, and requires a call to action for the evaluation and management of these potential modifiable factors that might contribute to ovarian cancer morbidity.

Changes in Depression and Sleep Quality and Associated Factors in Women Receiving Chemotherapy for Ovarian Cancer: An Observational Study

BACKGROUND

Although women with ovarian cancer experience depression and poor sleep quality, little is known about how various factors, particularly self-efficacy, might be associated with these conditions.

OBJECTIVES

The aim of this study was to examine the prevalence of and changes in depression and sleep quality and the factors associated with these conditions in a cohort of women with ovarian cancer before, during, and after chemotherapy.

METHODS

A prospective repeated-measures design was adopted in this study. Participants were women with ovarian cancer who were expected to receive 4 to 6 cycles of chemotherapy and were recruited at a medical center in Taiwan. The participants were asked to complete a questionnaire that included the Symptom Distress Scale, Center for Epidemiologic Studies Depression Scale, General Self-efficacy Scale, and Pittsburgh Sleep Quality Index. The data were collected before, during, and after the course of chemotherapy.

RESULTS

Overall, 24.6% to 36.9% of women were at risk for depression; 75.4% to 80.0% of women had poor sleep quality. There were no significant changes in depressive symptoms and sleep quality throughout the course of chemotherapy. More severe depressive symptoms were associated with higher levels of symptom distress and lower self-efficacy. Poorer sleep quality was associated with higher levels of symptom distress.

CONCLUSIONS

Among participants, more depressive symptoms and poorer sleep quality were associated with higher levels of symptom distress or lower self-efficacy.

IMPLICATIONS FOR PRACTICE

Healthcare providers should continuously assess depression and sleep quality in women with ovarian cancer. These symptoms may be improved by strengthening self-efficacy and relieving symptom distress.

Physical and functional well-being and symptoms of ovarian cancer in women undergoing first-line of chemotherapy: a one-year follow-up

PURPOSE

Clinicopathological features and chemotherapy can influence the quality of life (QOL), women with ovarian cancer. This study aimed to evaluate the physical and functional well-being, and ovarian cancer-specific effects scores reported from QOL questionnaire among women with ovarian cancer at the time of in their initial diagnosis and access the scores trajectory of women receiving neoadjuvant and adjuvant chemotherapy.

METHODS

This prospective study used cross-sectional analysis at baseline and longitudinal analysis from baseline to 12-month post-chemotherapy. QOL was evaluated at the baseline, at sixth cycle and 12-month post-chemotherapy using FACT-O questionnaire. Clinicopathological features and chemotherapy regime were evaluated and tested for associations with QOL measures.

RESULTS

Of the 38 women enrolled in this study, 27 (80.1%) completed the questionnaire for 12 months. The multivariate linear regression results suggest, at the baseline, women with advance stage and presence of post-surgery residual disease showed lower scores in physical and functional well-being, ovarian cancer-specific effects, and FACT-O TOI domains (p < 0.05). Longitudinal analysis spanning over 12 months showed an improvement in mean physical well-being, functional well-being, and ovarian cancer-specific effects scores, independent of chemotherapy received (p < 0.05).

CONCLUSIONS

At the baseline, the clinicopathological features such as stage, presence of post-surgery residual disease, and type of chemotherapy correlated with on QOL scores. At one-year follow-up, women who underwent chemotherapy showed improvement in QOL regardless of the type of chemotherapy they received. Future prospective study with a larger group is recommended.

Trajectories of fatigue in cancer patients during psychological care

OBJECTIVE

Psycho-oncological institutions offer specialized care for cancer patients. Little is known how this care might impact fatigue. This study aimed to identify fatigue trajectories during psychological care, examined factors distinguishing these trajectories and predicted fatigue severity after nine months of psychological care.

DESIGN

Naturalistic, longitudinal study of 238 cancer patients receiving psycho-oncological care in the Netherlands. Data were collected before initiation of psychological care (T1) and three (T2) and nine months (T3) afterwards. Latent class growth analysis, repeated measure analyses (RMA) and linear regression analysis were performed.

MAIN OUTCOME MEASURES

Fatigue severity: Checklist Individual Strength.

RESULTS

Three fatigue trajectories were identified: high- (30%), moderate- (62%) and low-level fatigue (8%). While statistically significant decreases in fatigue were found, this decrease was not clinically relevant. RMA showed main effects for time for fatigue trajectories on depression, anxiety, personal control and illness cognitions. Fatigue severity and physical symptoms at T1, but not demographic or clinical factors, were predictive of fatigue severity at T3.

CONCLUSIONS

Fatigue is very common during psycho-oncological care, and notably not clinically improving. As symptoms of fatigue, depression, anxiety and physical symptoms often cluster, supplementary fatigue treatment should be considered when it is decided to treat other symptoms first.

Patient-centred outcomes and effect of disease progression on health status in patients with newly diagnosed advanced ovarian cancer and a BRCA mutation receiving maintenance olaparib or placebo (SOLO1): a randomised, phase 3 trial

BACKGROUND

In the phase 3 SOLO1 trial, maintenance olaparib provided a significant progression-free survival benefit versus placebo in patients with newly diagnosed, advanced ovarian cancer and a BRCA mutation in response after platinum-based chemotherapy. We analysed health-related quality of life (HRQOL) and patient-centred outcomes in SOLO1, and the effect of radiological disease progression on health status.

METHODS

SOLO1 is a randomised, double-blind, international trial done in 118 centres and 15 countries. Eligible patients were aged 18 years or older; had an Eastern Cooperative Oncology Group performance status score of 0-1; had newly diagnosed, advanced, high-grade serous or endometrioid ovarian cancer, primary peritoneal cancer, or fallopian tube cancer with a BRCA mutation; and were in clinical complete or partial response to platinum-based chemotherapy. Patients were randomly assigned (2:1) to either 300 mg olaparib tablets or placebo twice per day using an interactive voice and web response system and were treated for up to 2 years. Treatment assignment was masked for patients and for clinicians giving the interventions, and those collecting and analysing the data. Randomisation was stratified by response to platinum-based chemotherapy (clinical complete or partial response). HRQOL was a secondary endpoint and the prespecified primary HRQOL endpoint was the change from baseline in the Functional Assessment of Cancer Therapy-Ovarian Cancer Trial Outcome Index (TOI) score for the first 24 months. TOI scores range from 0 to 100 (higher scores indicated better HRQOL), with a clinically meaningful difference defined as a difference of at least 10 points. Prespecified exploratory endpoints were quality-adjusted progression-free survival and time without significant symptoms of toxicity (TWiST). HRQOL endpoints were analysed in all randomly assigned patients. The trial is ongoing but closed to new participants. This trial is registered with ClinicalTrials.gov, NCT01844986.

FINDINGS

Between Sept 3, 2013, and March 6, 2015, 1084 patients were enrolled. 693 patients were ineligible, leaving 391 eligible patients who were randomly assigned to olaparib (n=260) or placebo (n=131; one placebo patient withdrew before receiving any study treatment), with a median duration of follow-up of 40·7 months (IQR 34·9-42·9) for olaparib and 41·2 months (32·2-41·6) for placebo. There was no clinically meaningful change in TOI score at 24 months within or between the olaparib and placebo groups (adjusted mean change in score from baseline over 24 months was 0·30 points [95% CI -0·72 to 1·32] in the olaparib group vs 3·30 points [1·84 to 4·76] in the placebo group; between-group difference of -3·00, 95% CI -4·78 to -1·22; p=0·0010). Mean quality-adjusted progression-free survival (olaparib 29·75 months [95% CI 28·20-31·63] vs placebo 17·58 [15·05-20·18]; difference 12·17 months [95% CI 9·07-15·11], p<0·0001) and the mean duration of TWiST (olaparib 33·15 months [95% CI 30·82-35·49] vs placebo 20·24 months [17·36-23·11]; difference 12·92 months [95% CI 9·30-16·54]; p<0·0001) were significantly longer with olaparib than with placebo.

INTERPRETATION

The substantial progression-free survival benefit provided by maintenance olaparib in the newly diagnosed setting was achieved with no detrimental effect on patients' HRQOL and was supported by clinically meaningful quality-adjusted progression-free survival and TWiST benefits with maintenance olaparib versus placebo.

FUNDING

AstraZeneca and Merck Sharp & Dohme.

The PROMova study comparing active and passive use of patient-reported outcome measures in ovarian cancer follow-up: effect on patient-perceived involvement, satisfaction with care, and usefulness

BACKGROUND

Patients with ovarian cancer often experience substantial health problems and side effects resulting in reduced quality of life (QoL). Different models of using patient-reported outcome measures (PROMs) during follow-up may improve the quality of care. This national, multicenter observational study investigated the effect of active use of PROMs on patient-perceived involvement, satisfaction with care, unmet needs, and QoL during follow-up of ovarian cancer.

MATERIAL AND METHODS

Ovarian cancer patients were recruited at the end of primary treatment at eight centers in Denmark. During 18 months of follow-up patients repeatedly completed European Organization for Research and Treatment of Cancer (EORTC) questionnaires covering health related QoL and symptoms. At the sites using PROMs actively (ACT), the clinician had access to an overview of the patient's scores during the clinical encounter. Clinicians using PROMs passively were alerted in case of severe development of symptoms. Following each encounter, patients evaluated their health service experience by completing the CollaboRATE scale of involvement in decision making, the Patient Experience Questionnaire, and ad hoc questions covering patient-perceived usefulness of the PROMs.

RESULTS

A total of 223 patients were enrolled, i.e., 168 (75.3%) at five sites using ACT and 53 (23.8%) at three sites using them passively. We found no statistically significant difference in involvement in the decision making, satisfaction with care, unmet needs, and QoL between the two groups. The majority of patients found it useful to complete the PROMs, although it did not seem to significantly support them in raising issues with the oncologist.

CONCLUSION

Active use of PROMs did not improve patients' experience of involvement in follow-up care as compared to passive use.