Survival outcomes following treatment delays among patients with early-stage female cancers: a nationwide study

Why Access Matters in Value-Based Healthcare: A Systematic Review

INRODUCTION

To outline why access to care should be central to quality improvement efforts across health systems while identifying patient-centric strategies that could be used.

METHODS

This study was designed based on the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols statement. A literature search of original peer-reviewed publications was undertaken to identify studies pertaining to the benefits of healthcare access in the setting of patient care. Articles published from January 2013 to January 2023 were included. An interpretive synthesis was then presented.

RESULTS

A total of 61 peer-reviewed studies were identified and differed significantly in their clinical design, methods, and endpoints. The core themes could be broadly categorized into the following: health outcomes (N = 32), patient satisfaction or experience (N = 15), operational efficiency (N = 7), and cost containment (N = 7). Twelve publications focused at least in part on equity issues, structural racism, and/or implicit bias; and five publications addressed disparities in education and/or technical literacy.

CONCLUSIONS

Access to healthcare affects quality of care, impacts the patient experience, and influences health outcomes and is a fundamental stalwart of value-based medicine.

Delay to timely treatment in locally advanced cervical cancer: insurance inequities in access to gynecologic oncology

BACKGROUND

Cervical cancer continues to disproportionately affect marginalized populations, with significant disparities in treatment and outcomes. Social determinants of health and insurance status have been associated with delays in treatment initiation, which can adversely affect clinical outcomes.

OBJECTIVE

To determine the risk factors associated with delays in treatment initiation among patients with locally advanced cervical cancer and identify the time period of delay in treatment initiation.

STUDY DESIGN

We conducted a retrospective cohort study of patients with locally advanced cervical cancer at a single institution between 2003 and 2023. The primary outcome was timely initiation of treatment, defined as treatment initiation within 60 days of diagnosis by biopsy. Multivariate analysis was used to assess the impact of insurance status and other demographic factors on treatment delays.

RESULTS

Two hundred eighty patients were identified. The median time from biopsy to treatment initiation was 68.5 days (interquartile range, 52-104); 37.1% of patients received timely treatment initiation. Univariate analyses indicated patients with Medicaid had significantly increased odds of delayed treatment (odds ratio 2.76, 95% confidence interval 1.46-5.23) and living in a geographic location with a higher social vulnerability index (quartile 3 odds ratio 2.68 95% confidence interval 1.22-5.85). Multivariate analysis indicated that Medicaid was independently associated with delayed treatment compared to private insurance (odds ratio 2.42, 95% confidence interval 1.18-4.93). When time to treatment was stratified by time from biopsy to staging and time from staging to treatment start, delay was primarily attributable to time from biopsy to staging. In patients within the upper quartile of delay (>104 days), social risk factors including insurance-related issues and unmet social needs (eg, psychosocial distress, unstable housing, substance abuse) were identified as contributors to significant delays.

CONCLUSION(S)

Medicaid insurance was independently associated with lower odds of timely cervical cancer treatment, driven largely by delays between biopsy and staging. These findings underscore the need for targeted interventions to address insurance-mediated barriers to initiation of care, which may include screening and addressing unmet health-related social needs and social risks.

Research Hotspots and Frontiers of Patient Delay: A Bibliometric Analysis from 2000 to 2023

Objective

This study aimed to examine the global scientific output of research on patient delay and explore the hotspots and frontiers from 2000 to 2023 through bibliometric analysis.

Methods

Publications regarding patient delay published from 2000 to 2023 were extracted from the Web of Science Core Collection (WOSCC). Subsequently, CiteSpace, VOSviewer, and Bibliometrix Online Analysis Platform were used to analyze publications, countries, institutions, authors, journals, and keywords.

Results

A total of 721 papers were included in the study. The publication output increased from 20 papers in 2000 to 64 papers in 2023, a remarkable 220.00% growth. The USA (138 papers) and University of California San Francisco (21 papers) were identified as the most productive country and institution, respectively. Moser (10 papers), and Dracup (10 papers) are the most productive authors. "BMC Public Health" (24 publications) is the most productive journal. "Patient Delay" was the most cited keyword, with high-frequency keywords such as "Prehospital Delay", "Symptoms", "Time", "Care", "Diagnosis", "Acute Myocardial-infarction", and "Mortality" signaling hot topics in Patient Delay.

Conclusion

There are increasingly many papers on patient delay. However, there has been limited development of cooperation between countries and institutions. In the future, collaboration between countries and institutions should be strengthened. In addition, 3 hotspots and 3 frontiers are summarized in this study to provide researchers with future research directions.

Association between surgery treatment delays and survival outcomes in patients with esophageal cancer in Hebei, China

Introduction

The delays in cancer therapies have the potential to impact disease progression by allowing the unchecked growth and spread of cancer cells. However, the understanding of the association between treatment waiting time and survival outcomes in patients with esophageal cancer (EC) is limited. This study aims to assess the impact of waiting time on survival outcomes among EC patients in Hebei province, which is recognized as one of the high-risk areas for EC in China.

Methods

A total of 9,977 non-metastatic EC patients who underwent surgical treatment were identified between 2000 and 2020. The survival outcomes of overall survival (OS) and cancer-specific survival (CSS) were determined using the Kaplan-Meier methodology. Univariate and multivariate Cox regression analysis was employed to evaluate the impact of treatment delays on OS and CSS.

Results

The average delay time for initiating EC surgical treatment after diagnosis was 1.31 months (95%CI=1.29-1.34). Patients with a long delay (≥ 3 months) in treatment, comprising 9977 EC patients, exhibited significantly lower rates of 3-, 5-, and 10-year OS and CSS compared to those without any delay in treatment initiation. A long delay in EC treatment independently associated with an elevated risk of all-cause and cancer-cause mortality among various patient subgroups, including males, older individuals, single individuals, low-income patients, residents of nonmetropolitan counties, as well as those diagnosed with poorly differentiated and stage IV EC.

Discussion

The long delay of treatment initiation impacts the outcomes of OS and CSS in EC patients. Optimizing treatment timing may enhance life expectancy for individuals diagnosed with EC.

Psychological Factors Related to Treatment Outcomes in Head and Neck Cancer

BACKGROUND

Patients with head and neck cancer (HNC) often demonstrate stress, distress, anxiety, depression, and are at risk for suicide. These affect their quality of life (QoL) but less attention has been given to psychological variables that may impact response to treatment.

OBJECTIVES

This study aims to systematically review publications during 2013-2023 to collate evidence on the effects of psychological variables on HNC treatment outcomes.

METHODS

We searched Ovid Medline, PubMed, Scopus, and Web of Science for articles that examined psychological factors related to treatment outcomes in patients with HNC.

RESULTS

There were 29 studies (5 before treatment, 2 during, 17 after, and 5 covering the whole management trajectory) including 362,766 patients. The psychological factors were either behavioral (adjustment and coping strategy, unrealistic ideas, self-blame), cognitive (elevated risk of psychiatric co-comorbidity), or emotional (distress, depression, anxiety, nervousness, and fear of disfigurement and complications). It was found that there was a relationship between depression and decreased survival in patients with HNC. Pretreatment pain was an independent predictor of decreased survival in a large sample of patients. The distress level was approximately  54%, emotional problems ranged between 10 and 44%, while financial difficulties were identified in 54% of the patients. Sixty-nine percent of patients were reported to have used at least one cost-coping strategy within 6 months after treatment initiation. During post-treatment period, depression increased from 15% at the baseline to 29%, while the fear of recurrence was found among at least 35% of patients.

DISCUSSION AND CONCLUSION

Several psychological factors predict QoL and survival among HNC survivors. Distress encompasses depression and anxiety, and physical burden from HNC diagnosis and treatment. Routine screening and early interventions that target distress could improve HNC survivors' QoL. A systematic and standardized measurement approach for QoL is warranted to homogenize these findings and to understand the underlying relationships.

Opportunities and challenges encountered in managing cervical cancer during the coronavirus disease 2019 pandemic

OBJECTIVES

The COVID-19 pandemic, while putting pressure on the global healthcare system, has had a significant impact on the prevention, diagnosis, and treatment of cervical cancer. The aim of this study is to provide an overview of the challenges and opportunities presented to cervical cancer during the COVID-19 pandemic and to provide lessons for better coping with cervical cancer in future pandemics.

METHODS

The search terms included the following: SARS-CoV-2 and/or COVID-19 with cervical cancer and HPV. The initial literature search began on June 1, 2022 and ended on March 1, 2023.

OUTCOME

COVID-19 has hindered the cervical cancer screening, delayed the diagnosis and treatment of cervical cancer, increased the public's anxiety, and negatively affected the management of cervical cancer. However, the occurrence of COVID-19 pandemic has promoted the development of new human papillomavirus (HPV) tests and improved the rates of HPV self-sampling, offering a small window of opportunity to eliminate cervical cancer.

CONCLUSIONS

In the next few years, the COVID-19 pandemic will come to an end, and the eradication of cervical cancer should always be carried out. We should draw lessons and experience from this global pandemic, and make efforts for the subsequent eradication of cervical cancer.

Treatment delays for cancer patients in Sub-Saharan Africa: South Africa as a microcosm

Purpose

Delays in initiating cancer treatment time to treatment initiation (TTI) can negatively impact patient outcomes. This study aimed to quantify the association between TTI and survival in breast, cervical and prostate cancer patients at Inkosi Albert Luthuli Central Hospital (IALCH) in KwaZulu-Natal, South Africa, as a microcosm of Sub-Saharan Africa (SSA).

Methods

We analyzed electronic medical records of patients diagnosed with breast, cervical or prostate cancer at IALCH between 2010 and 2020. Median TTI was calculated for different treatment modalities. To assess the link between treatment delay and mortality, we employed a Cox proportional hazards model to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), treating breast cancer and patients over 40 as competing events. Additionally, Kruskal-Wallis one-way analysis and linear regression were used to compare TTI across racial groups.

Results

The study included patients with breast (44%), cervical (44%) and prostate cancer (12%). Mean age at diagnosis was 62.6, 56.6 and 73.0 years, respectively. Breast cancer patients experienced the longest delays for mastectomy (median 18.4 weeks), followed by prostate cancer patients waiting for radiotherapy (median 16.6 weeks). Significantly longer TTI for radiotherapy was observed in patients younger than 40 with cervical (HR = 2.30, 95% CI: 2.16-2.44, p < 0.001) or prostate cancer (HR = 1.42, 95% CI: 1.03-1.95, p = 0.033) compared to older breast cancer patients. Similar trends were seen for younger patients with cervical cancer receiving chemotherapy. Notably, all racial groups exhibited substantial delays in initiating treatment for all three cancers (breast p < 0.001, prostate p = 0.004 and cervical cancer p < 0.001).

Conclusion

This study identified significant delays in treatment initiation (TTI) for breast, prostate and cervical cancer patients at Inkosi Albert Luthuli Central Hospital (IALCH) in South Africa. These delays were concerning, particularly for younger patients and individuals across all racial backgrounds. Delays in treatment initiation have been linked to increased mortality risk in other studies, highlighting the urgency of addressing this issue. Furthermore, this study serves as a valuable model for future research throughout SSA to collectively address the challenges of treatment delays and improve cancer care for the region.

Impact of treatment delays on future survival outcomes in non-surgical patients with esophageal cancer in Shandong Province, China

The treatment process of tumors in surgical patients is typically prompt and efficient, whereas non-surgical patients are more prone to treatment delay due to various factors. However, the relationship between treatment delay and survival outcomes in non-surgical Esophageal cancer (EC) patients has received limited study. This study aims to evaluate the impact of waiting time from diagnose to treatment on survival outcomes among non-surgical EC patients in Shandong Province, China. Over a 20-year follow-up period, a total of 12,911 patients diagnosed with EC and not receiving surgical intervention were identified from 2000 to 2020. The Kaplan-Meier methodology was employed to determine overall survival (OS) and cancer-specific survival (CSS). Univariate and multivariate Cox regression analyses were performed to evaluate the impact of treatment delays on future outcomes. The nonlinear association between waiting time and survival outcomes was investigated using restricted cubic spline (RCS) functions. The average delay in initiating EC treatment from the initial medical consultation for symptoms of EC was 1.18 months (95%CI=1.16-1.20). Patients with a long delay (≥3 months) in treatment demonstrated significantly lower rates of 1-, 3-, and 5-year OS and CSS compared to those with a brief delay in treatment initiation. A long delay in EC treatment independently associated with an increased risk of mortality from all causes and cancer. The association between waiting time and both all-cause and cause-specific mortality illustrated a pronounced J-shaped pattern. The prolong delay in treatment initiation significantly impacts the OS and CSS outcomes for non-surgical EC patients. Timely administration of treatment has the potential to enhance survival outcomes in patients with EC who are ineligible for surgery, including those in advanced stages without surgical options available.

Patient perspectives on cancer care during COVID-19: A qualitative study

PURPOSE

The COVID-19 pandemic posed unique challenges to cancer-related care as health systems balanced competing risks of timely delivery of care and minimizing exposure to infection in a high-risk, immunocompromised patient population. This study aimed to better understand how pandemic-related factors affected the patient experience of cancer care during this time.

METHODS

We conducted fifteen semi-structured interviews with adults from rural counties in Maryland who were diagnosed with and/or actively treated for cancer at the TidalHealth healthcare network between January 2020 and October 2022.

RESULTS

Interviews from fifteen participants were analyzed. Two major themes emerged including COVID Impact on Care, and COVID Impact on Mental Health. Subthemes under COVID Impact on Care include Staffing Shortages, Hospital Regulations, Visitation, Importance of Advocacy, and Telehealth Utilization, and subthemes under COVID Impact on Mental Health include Loneliness, Support Networks, and Perceptions of COVID and Personal Protection. Overall, participants described positive care experiences despite notable delays, disruptions to continuity of care, difficult transitions to telemedicine, visitation policies that limited patient support, increased mental health struggles related to social distancing measures, and greater desire for patient advocacy.

CONCLUSION

Our findings reveal significant impacts of the COVID-19 pandemic on experiences of cancer treatment and survivorship in a more vulnerable, rural patient population with lower healthcare access and income level. Our findings suggest areas for targeted interventions to limit disruptions to quality care in future public health emergencies.

Trends in gynaecologic cancer mortality and the impact of the COVID-19 pandemic in the United States

OBJECTIVES

Our aim was to assess the trend in gynaecologic cancer (GC) mortality in the period from 2010 to 2022 in the United States, with focus on the impact of the pandemic on increased deaths.

METHODS

GC mortality data were extracted from the Center for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) platform. We analysed mortality trends and evaluated observed vs. predicted mortality for the period from 2020 to 2022 with joinpoint regression and prediction modelling analyses.

RESULTS

A total of 334,382 deaths among adults aged 25 years and older with gynaecologic cancer were documented from 2010 to 2022. The overall age-standardised mortality rate (ASMR, per 100,000 persons) for ovarian cancer-related death decreased gradually from 7.189 in 2010 to 5.517 in 2019, yielding an APC (annual percentage change) of -2.8%. However, the decrease in ovarian cancer-related mortality slowed down by more than 4-fold during the pandemic. Cervical cancer -related mortality decreased slightly prior to the pandemic and increased during the pandemic with an APC of 0.6%, resulting in excess mortality of 4.92%, 9.73% and 2.03% in 2020, 2021 and 2022, respectively. For uterine corpus cancer, the ASMR increased from 1.905 in 2010 to 2.787 in 2019, and increased sharply to 3.079 in 2021 and 3.211 in 2022. The ASMR rose steadily between 2013 and 2022, yielding an APC of 6.9%.

CONCLUSIONS

Overall, we found that GC-related mortality increased during the COVID-19 pandemic, and this increase was not specific to age, race, or ethnicity.

Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database

Purpose: This study aimed to assess the impact of treatment delay on prognosis in patients with ovarian cancer. Methods: A retrospective analysis of patients with ovarian cancer in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 was performed. Chi-square tests were used to assess baseline differences. The Kaplan-Meier method was used to evaluate the effect of different treatment intervals on survival outcomes in patients. Cox regression analyses were used to identify independent factors associated with ovarian cancer prognosis. Results: Of the 21,590 patients included, 15,675 (72.6%), 5,582 (25.9%), and 333 (1.54%) were classified into the immediate-treatment (<1 month after diagnosis), intermediate-delay (1-2 month delayed), and long-delay groups (≥3 months delayed), respectively. The 5-year probability of overall survival (OS) was 61.4% in the immediate-treatment group, decreasing to 36.4% and 34.8% in the intermediate- and long-delay groups, respectively. Similar survival differences were also reflected in cancer-specific survival (CSS), with 5-year CSS probabilities of 66.7%, 42.6%, and 41.8% in the aforementioned groups, respectively. Patients in the intermediate-delay group showed poorer OS (adjusted hazard ratio [HR], 1.06; 95% confidence interval [CI], 1.02-1.11; p=0.006) and CSS (adjusted HR, 1.06; 95% CI, 1.01-1.11; p=0.012) than immediate-treatment group. Conclusions: Patients with delayed treatment had poorer OS and CSS. The patient's waiting time from diagnosis to initial treatment should be within 1 month.

Delays in treatment initiation and conclusion in women with stage IA to IIIB cervical cancer: A survival study in a hospital-based cohort from a developing country

AIM

To evaluate the effect of delays in stage IA to IIIB cervical cancer treatment initiation and conclusion on hospital-based survival among Brazilian women.

METHODS

A retrospective follow-up study was conducted in a stage IA to IIIB cervical cancer cohort treated from 2012 and 2014 and followed until December 31, 2017 in Rio de Janeiro. Delay in treatment initiation definition was defined based on the Brazilian law of 60 days for treatment initiation after diagnosis. Delay in treatment conclusion was defined based on the literature and sample distributions: < 120/121-200/> 200 days. The endpoint was death(from all causes or cervical cancer). Death causes and dates were obtained by a record linkage procedure between the hospital cancer registry and the Mortality Information System. Global 36-month survival and HRs were estimated by the KaplanMeier method and proportional Cox regression models, respectively.

RESULTS

From 865 patients, 269(31.1%) died over the median follow-up time of 27 months. Delay on treatment initiation(>60-days) was 92.8%, while the delay in treatment conclusion(>120 days) was 87.5%. Overall survival was 61.3% (<60-days:62.6%; 61-90 days:63.5%). Among stage IIB-IIIB, women treated < 60-days presented 40.1% survival, while 61-90-days had 52.5%, and > 90-days had 53.3%. Delays in treatment conclusion significantly reduced survival[72.2%(<120-days) to 60.7%(>200-days)]. Multivariate analysis showed that delays in treatment initiation did not affect 36-month death risk. Compared to women concluding treatment in < 120-days, those taking 121-200-days or > 200-days showed increases in death risk of 89%(95%CI:1.10-3.24) and 111%(95%CI:1.31-3.39), respectively, regardless of age, stage, treatment protocol, and time to treatment initiation.

CONCLUSION

Delays in cervical cancer treatment conclusion (but not treatment initiation) affected 36-month survival and death risk among Brazilians.

Impact of time-to-treatment initiation on survival in single primary non-small cell lung Cancer: A population-based study

Background

Understanding the effects of a delayed time-to-treatment initiation(TTI) for non-small cell lung cancer (NSCLC) is vital.

Methods

We analyzed NSCLC data from the Surveillance, Epidemiology, and End Results database, focusing on lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC). TTI was studied as both continuous and dichotomous variables. Restricted cubic splines were employed to identify potential nonlinear dependency between the hazard ratio (HR) and TTI. Propensity score matching was used to ensure a balanced patient allocation, and then survival differences between groups were assessed using Kaplan-Meier analysis and competing risk models. We used overall survival (OS) as the primary outcome and cancer-specific cumulative mortality (CSCM) as a complementary indicator. Finally, sensitivity analyses were performed on censored data.

Results

A total of 80,020 with NSCLC were analyzed. TTI was assessed as a continuous variable, showing a noticeable increase in the HR for stage I to II NSCLC with TTI >1 month. Conversely, the trend for stage III to IV NSCLC was the opposite. In stage I LUAD, the 'early' group demonstrated a higher OS compared to the 'delayed' group (Log-rank P = 0.002), while there was no significant difference in CSCM (Fine-gray P = 0.321). In stage I LUSC, there was no significant difference in OS(Log-rank P = 0.260), but the 'early' group had a lower CSCM (Fine-gray P = 0.018). For stage II-IV NSCLC, the 'delayed' group did not exhibit a negative impact on OS or CSCM. The sensitivity analysis further supported the results of the main analysis.

Conclusion

Prolongation of TTI ≥31 days has a negative impact on OS or CSCM in stage I NSCLC only. Further exploration and validation are needed to determine whether these results can be used as evidence for a 'safe' TTI threshold setting for future NSCLC.

Exploring Key Biomarkers and Common Pathogenesis of Seven Digestive System Cancers and Their Correlation with COVID-19

Digestive system cancer and COVID-19 significantly affect the digestive system, but the mechanism of interaction between COVID-19 and the digestive system cancers has not been fully elucidated. We downloaded the gene expression of COVID-19 and seven digestive system cancers (oral, esophageal, gastric, colorectal, hepatocellular, bile duct, pancreatic) from GEO and identified hub differentially expressed genes. Multiple verifications, diagnostic efficacy, prognostic analysis, functional enrichment and related transcription factors of hub genes were explored. We identified 23 common DEGs for subsequent analysis. CytoHubba identified nine hub genes (CCNA2, CCNB1, CDKN3, ECT2, KIF14, KIF20A, KIF4A, NEK2, TTK). TCGA and GEO data validated the expression and excellent diagnostic and prognostic ability of hub genes. Functional analysis revealed that the processes of cell division and the cell cycle were essential in COVID-19 and digestive system cancers. Furthermore, six related transcription factors (E2F1, E2F3, E2F4, MYC, TP53, YBX1) were involved in hub gene regulation. Via in vitro experiments, CCNA2, CCNB1, and MYC expression was verified in 25 colorectal cancer tissue pairs. Our study revealed the key biomarks and common pathogenesis of digestive system cancers and COVID-19. These may provide new ideas for further mechanistic research.