Assessment of Time-to-Treatment Initiation and Survival in a Cohort of Patients With Common Cancers

Access to New Clinic Appointments for Patients With Cancer

Importance

Racial and ethnic disparities have been observed in the outpatient visit rates for specialist care, including cancer care; however, little is known about patients' experience at the critical step of attempting to access new clinic appointments for cancer care.

Objective

To determine simulated English-speaking, Spanish-speaking, and Mandarin-speaking patient callers' ability to access new clinic appointments for 3 cancer types (colon, lung, and thyroid cancer) that disproportionately impact Hispanic and Asian populations.

Design, Setting, and Participants

This cross-sectional audit study was conducted between November 2021 and March 2023 using 479 clinic telephone numbers that were provided by the hospital general information personnel at 143 hospitals located across 12 US states. Using standardized scripts, trained research personnel assigned to the roles of English-speaking, Spanish-speaking, and Mandarin-speaking patients called the telephone number for a clinic that treats colon, lung, or thyroid cancer to inquire about a new clinic appointment. Data analysis was conducted from June to September 2023.

Main Outcomes and Measures

The primary outcome was whether the simulated patient caller was able to access cancer care (binary variable, yes or no), which was defined to include being provided with a clinic appointment date or scheduling information. Multivariable logistic regression analysis was performed to determine factors independently associated with simulated patient callers being able to access cancer care.

Results

Of 985 total calls (399 English calls; 302 Spanish calls; 284 Mandarin calls), simulated patient callers accessed cancer care in 409 calls (41.5%). Differences were observed based on language type, with simulated English-speaking patient callers significantly more likely to access cancer care compared with simulated Spanish-speaking and Mandarin-speaking patient callers (English, 245 calls [61.4%]; Spanish, 110 calls [36.4%]; Mandarin, 54 calls [19.0%]; P < .001). A substantial number of calls ended due to linguistic barriers (291 of 586 Spanish or Mandarin calls [49.7%]) and workflow barriers (239 of 985 calls [24.3%]). Compared with English-speaking simulated patient callers, the odds of accessing cancer care were lower for Spanish-speaking simulated patient callers (adjusted odds ratio [aOR], 0.34; 95% CI, 0.25-0.46) and Mandarin-speaking simulated patient callers (aOR, 0.13; 95% CI, 0.09-0.19). Compared with contacting clinics affiliated with teaching hospitals, callers had lower odds of accessing cancer care when contacting clinics that were affiliated with nonteaching hospitals (aOR, 0.53; 95% CI, 0.40-0.70).

Conclusions and Relevance

In this cross-sectional audit study, simulated patient callers encountered substantial barriers when attempting to access clinic appointments for cancer care. These findings suggest that interventions focused on mitigating these barriers are necessary to increase access to cancer care for all patients.

A mathematical model to study low-dose metronomic scheduling for chemotherapy

Metronomic chemotherapy refers to the frequent administration of chemotherapeutic agents at a lower dose and presents an attractive alternative to conventional chemotherapy with encouraging response rates. However, the schedule of the therapy, including the dosage of the drug, is usually based on empiricism. The confounding effects of tumor-endothelial-immune interactions during metronomic administration of drugs have not yet been explored in detail, resulting in an incomplete assessment of drug dose and frequency evaluations. The present study aimed to gain a mechanistic understanding of different actions of metronomic chemotherapy using a mathematical model. We have established an analytical condition for determining the dosage and frequency of the drug depending on its clearance rate for complete tumor elimination. The model also brings forward the immune-mediated clearance of the tumor during the metronomic administration of the chemotherapeutic agent. The results from the global sensitivity analysis showed an increase in the sensitivity of drug and immune-mediated killing factors toward the tumor population during metronomic scheduling. Our results emphasize metronomic scheduling over the maximum tolerated dose (MTD) and define a model-based approach for approximating the optimal schedule of drug administration to eliminate tumors while minimizing harm to the immune cells and the patient's body.

Time is of the Essence: Why Goals-of-Care Conversations and Prognosis Documentation Matters in Advanced Cancer Patients in an Integrated Health System

Background: Advanced cancer patients benefit less from aggressive therapies and more from goal-directed palliative management. Early and clearly documented goals-of-care discussions, including end-of-life decision making, are essential in this patient population. Integrated healthcare systems are comprehensive care models associated with improved quality of care and lower mortality compared to other healthcare models. The role of advance care planning within our system is understudied. Methods: Patients 18 years and older with a diagnosis of advanced-stage cancer were identified over a 6-month period. Expert panel review was performed to evaluate medical appropriateness of the selected diagnostic workup and management. The role and extent of care planning was reviewed in association with the clinical context. Results: In a cohort of 82 patients, evidence-based and individualized appropriateness of medical management was found to be consistent for all patients. Eighty-two percent of patients elected for oncologic-based treatment, 5% pursued active surveillance, and 11% did not receive treatment. Seventy-three percent of patients were referred to palliative care. Fifty-six percent of patients had a full goals-of-care conversation documented; yet only 9% of goals-of-care conversations were documented by an oncologist. Prognosis was documented fully for only 22% of patients. At the end of the study period, 43 patients were deceased (52%), further indicating the critical importance of documentation. Conclusions: Within our integrated health system, we found consistent guideline- and patient-directed diagnosis and management, along with frequent integration of palliative care services. Goals-of-care conversation and prognosis documentation, especially by the oncologist, remains an area of needed improvement.

Estimating the impact of enhanced care at minority-serving hospitals on disparities in the treatment of breast, prostate, lung, and colon cancers

BACKGROUND

The objective of this study was to quantify disparities in cancer treatment delivery between minority-serving hospitals (MSHs) and non-MSHs for breast, prostate, nonsmall cell lung, and colon cancers from 2010 to 2019 and to estimate the impact of improving care at MSHs on national disparities.

METHODS

Data from the National Cancer Database (2010-2019) identified patients who were eligible for definitive treatments for the specified cancers. Hospitals in the top decile by minority patient proportion were classified as MSHs. Multivariable logistic regression adjusted for patient and hospital characteristics compared the odds of receiving definitive treatment at MSHs versus non-MSHs. A simulation was used to estimate the increase in patients receiving definitive treatment if MSH care matched the levels of non-MSH care.

RESULTS

Of 2,927,191 patients from 1330 hospitals, 9.3% were treated at MSHs. MSHs had significant lower odds of delivering definitive therapy across all cancer types (adjusted odds ratio: breast cancer, 0.83; prostate cancer, 0.69; nonsmall cell lung cancer, 0.73; colon cancer, 0.81). No site of care-race interaction was significant for any of the cancers (p > .05). Equalizing treatment rates at MSHs could result in 5719 additional patients receiving definitive treatment over 10 years.

CONCLUSIONS

The current findings underscore systemic disparities in definitive cancer treatment delivery between MSHs and non-MSHs for breast, prostate, nonsmall cell lung, and colon cancers. Although targeted improvements at MSHs represent a critical step toward equity, this study highlights the need for integrated, system-wide efforts to address the multifaceted nature of racial and ethnic health disparities. Enhancing care at MSHs could serve as a pivotal strategy in a broader initiative to achieve health care equity for all.

Effects of the Coronavirus disease 2019 pandemic on mortality in patients with lung cancer: A multiple mediation analysis in Japan

COVID-19 pandemic has had a substantial effect on healthcare systems worldwide, including the care of patients with lung cancer. The impact of healthcare disruptions and behavioral changes on lung cancer mortality is unclear. Patients newly diagnosed with lung cancer during the pandemic period 2020-2021 were compared with those diagnosed in the pre-pandemic 2018-2019. The primary outcome was all-cause mortality within 1 year. Cox proportional hazards regression analyses were conducted to estimate the changes in mortality between pandemic and pre-pandemic. Multiple mediation analyses were performed to determine the factors that accounted for the changes in mortality. In total, 5785 patients with lung cancer were included in this study. The overall mortality rate was significantly higher during the pandemic compared with the pre-pandemic (crude hazard ratio [HR]: 1.19, 95% confidence interval [CI]: 1.05, 1.29). Mediation analyses showed that not receiving tumor-directed treatment, diagnosis at an older age, and decreased diagnosis through cancer screening significantly accounted for 17.5% (95%CI: 4.2, 30.7), 13.9% (95%CI: 0.8, 27.0), and 12.4% (95%CI: 3.0, 21.8) of the increased mortality, respectively. This study revealed a significant increase in mortality risk in patients with lung cancer who have not received tumor-directed treatment or cancer screening, despite potential selection bias for follow-up status. Efforts should be focused on ensuring timely access to healthcare services, optimizing treatment delivery, and addressing the unique challenges faced by patients with lung cancer during the pandemic to mitigate the impact of the pandemic on lung cancer outcomes and provide clinical care to vulnerable populations.

ESMO expert consensus statements on the screening and management of financial toxicity in patients with cancer

BACKGROUND

Financial toxicity, defined as both the objective financial burden and subjective financial distress from a cancer diagnosis and its treatment, is a topic of interest in the assessment of the quality of life of patients with cancer and their families. Current evidence implicates financial toxicity in psychosocial, economic and other harms, leading to suboptimal cancer outcomes along the entire trajectory of diagnosis, treatment, supportive care, survivorship and palliation. This paper presents the results of a virtual consensus, based on the evidence base to date, on the screening and management of financial toxicity in patients with and beyond cancer organized by the European Society for Medical Oncology (ESMO) in 2022.

METHODS

A Delphi panel of 19 experts from 11 countries was convened taking into account multidisciplinarity, diversity in health system contexts and research relevance. The international panel of experts was divided into four working groups (WGs) to address questions relating to distinct thematic areas: patients with cancer at risk of financial toxicity; management of financial toxicity during the initial phase of treatment at the hospital/ambulatory settings; financial toxicity during the continuing phase and at end of life; and financial risk protection for survivors of cancer, and in cancer recurrence. After comprehensively reviewing the literature, statements were developed by the WGs and then presented to the entire panel for further discussion and amendment, and voting.

RESULTS AND DISCUSSION

A total of 25 evidence-informed consensus statements were developed, which answer 13 questions on financial toxicity. They cover evidence summaries, practice recommendations/guiding statements and policy recommendations relevant across health systems. These consensus statements aim to provide a more comprehensive understanding of financial toxicity and guide clinicians globally in mitigating its impact, emphasizing the importance of further research, best practices and guidelines.

A supervised machine learning model for identifying predictive factors for recommending head and neck cancer surgery

BACKGROUND

New patient referrals are often processed by practice coordinators with little-to-no medical background. Treatment delays due to incorrect referral processing, however, have detrimental consequences. Identifying variables that are associated with a higher likelihood of surgical oncological resection may improve patient referral processing and expedite the time to treatment. The study objective is to develop a supervised machine learning (ML) platform that identifies relevant variables associated with head and neck surgical resection.

METHODS

A retrospective cohort study was conducted on 64 222 patient datapoints from the SEER database.

RESULTS

The random forest ML model correctly classified patients who were offered head and neck surgery with an 81% accuracy rate. The sensitivity and specificity rates were 86% and 71%. The positive and negative predictive values were 85% and 73%.

CONCLUSIONS

ML modeling accurately predicts head and neck cancer surgery recommendations based on patient and cancer information from a large population-based dataset. ML adjuncts for referral processing may decrease the time to treatment for patients with cancer.

Breast density knowledge and willingness to delay treatment for pre-operative breast cancer imaging among women with a personal history of breast cancer

BACKGROUND

Following a breast cancer diagnosis, it is uncertain whether women's breast density knowledge influences their willingness to undergo pre-operative imaging to detect additional cancer in their breasts. We evaluated women's breast density knowledge and their willingness to delay treatment for pre-operative testing.

METHODS

We surveyed women identified in the Breast Cancer Surveillance Consortium aged ≥ 18 years, with first breast cancer diagnosed within the prior 6-18 months, who had at least one breast density measurement within the 5 years prior to their diagnosis. We assessed women's breast density knowledge and correlates of willingness to delay treatment for 6 or more weeks for pre-operative imaging via logistic regression.

RESULTS

Survey participation was 28.3% (969/3,430). Seventy-two percent (469/647) of women with dense and 11% (34/322) with non-dense breasts correctly knew their density (p < 0.001); 69% (665/969) of all women knew dense breasts make it harder to detect cancers on a mammogram; and 29% (285/969) were willing to delay treatment ≥ 6 weeks to undergo pre-operative imaging. Willingness to delay treatment did not differ by self-reported density (OR:0.99 for non-dense vs. dense; 95%CI: 0.50-1.96). Treatment with chemotherapy was associated with less willingness to delay treatment (OR:0.67; 95%CI: 0.46-0.96). Having previously delayed breast cancer treatment more than 3 months was associated with an increased willingness to delay treatment for pre-operative imaging (OR:2.18; 95%CI: 1.26-3.77).

CONCLUSIONS

Understanding of personal breast density was not associated with willingness to delay treatment 6 or more weeks for pre-operative imaging, but aspects of a woman's treatment experience were.

CLINICALTRIALS

GOV : NCT02980848 registered December 2, 2016.

Interventions addressing health-related social needs among patients with cancer

Health-related social needs are prevalent among cancer patients; associated with substantial negative health consequences; and drive pervasive inequities in cancer incidence, severity, treatment choices and decisions, and outcomes. To address the lack of clinical trial evidence to guide health-related social needs interventions among cancer patients, the National Cancer Institute Cancer Care Delivery Research Steering Committee convened experts to participate in a clinical trials planning meeting with the goal of designing studies to screen for and address health-related social needs among cancer patients. In this commentary, we discuss the rationale for, and challenges of, designing and testing health-related social needs interventions in alignment with the National Academy of Sciences, Engineering, and Medicine 5As framework. Evidence for food, housing, utilities, interpersonal safety, and transportation health-related social needs interventions is analyzed. Evidence regarding health-related social needs and delivery of health-related social needs interventions differs in maturity and applicability to cancer context, with transportation problems having the most maturity and interpersonal safety the least. We offer practical recommendations for health-related social needs interventions among cancer patients and the caregivers, families, and friends who support their health-related social needs. Cross-cutting (ie, health-related social needs agnostic) recommendations include leveraging navigation (eg, people, technology) to identify, refer, and deliver health-related social needs interventions; addressing health-related social needs through multilevel interventions; and recognizing that health-related social needs are states, not traits, that fluctuate over time. Health-related social needs-specific interventions are recommended, and pros and cons of addressing more than one health-related social needs concurrently are characterized. Considerations for collaborating with community partners are highlighted. The need for careful planning, strong partners, and funding is stressed. Finally, we outline a future research agenda to address evidence gaps.

The impact of the UK COVID-19 lockdown on the screening, diagnostics and incidence of breast, colorectal, lung and prostate cancer in the UK: a population-based cohort study

Introduction

The COVID-19 pandemic had collateral effects on many health systems. Cancer screening and diagnostic tests were postponed, resulting in delays in diagnosis and treatment. This study assessed the impact of the pandemic on screening, diagnostics and incidence of breast, colorectal, lung, and prostate cancer; and whether rates returned to pre-pandemic levels by December, 2021.

Methods

This is a cohort study of electronic health records from the United Kingdom (UK) primary care Clinical Practice Research Datalink (CPRD) GOLD database. The study included individuals registered with CPRD GOLD between January, 2017 and December, 2021, with at least 365 days of clinical history. The study focused on screening, diagnostic tests, referrals and diagnoses of first-ever breast, colorectal, lung, and prostate cancer. Incidence rates (IR) were stratified by age, sex, and region, and incidence rate ratios (IRR) were calculated to compare rates during and after lockdown with rates before lockdown. Forecasted rates were estimated using negative binomial regression models.

Results

Among 5,191,650 eligible participants, the first lockdown resulted in reduced screening and diagnostic tests for all cancers, which remained dramatically reduced across the whole observation period for almost all tests investigated. There were significant IRR reductions in breast (0.69 [95% CI: 0.63-0.74]), colorectal (0.74 [95% CI: 0.67-0.81]), and prostate (0.71 [95% CI: 0.66-0.78]) cancer diagnoses. IRR reductions for lung cancer were non-significant (0.92 [95% CI: 0.84-1.01]). Extrapolating to the entire UK population, an estimated 18,000 breast, 13,000 colorectal, 10,000 lung, and 21,000 prostate cancer diagnoses were missed from March, 2020 to December, 2021.

Discussion

The UK COVID-19 lockdown had a substantial impact on cancer screening, diagnostic tests, referrals, and diagnoses. Incidence rates remained significantly lower than pre-pandemic levels for breast and prostate cancers and associated tests by December, 2021. Delays in diagnosis are likely to have adverse consequences on cancer stage, treatment initiation, mortality rates, and years of life lost. Urgent strategies are needed to identify undiagnosed cases and address the long-term implications of delayed diagnoses.

Decline in Cancer Diagnoses during the 'Zero COVID' Policy in Hong Kong: Indirect Spillover Impact of the COVID-19 Pandemic

AIMS

Despite a largely successful 'zero COVID' policy in 2020, the COVID-19 pandemic disrupted routine cancer services in the city of Hong Kong. The aims of this study were to examine the trends in cancer incidence before and during the COVID-19 pandemic and estimate missed cancer diagnoses.

MATERIALS AND METHODS

We used population-based data from the Hong Kong Cancer Registry 1983-2020 to examine the trends of age- and sex-standardised cancer incidence before and during the COVID-19 pandemic. We applied: (i) the annual average percentage change (AAPC) calculated using the Joinpoint regression model and (ii) the autoregressive integrated moving average (ARIMA) model to forecast cancer incidence rates in 2020. Missed cancer diagnoses in 2020 were estimated by comparing forecasted incidence rates to reported rates. A subgroup analysis was conducted by sex, age and cancer site.

RESULTS

The cancer incidence in Hong Kong declined by 4.4% from 2019 to 2020 (male 8.1%; female 1.1%) compared with the long-term AAPC of 0.5% from 2005 to 2019 (95% confidence interval 0.3, 0.7). The gap between the reported and forecasted incidence for 2020 ranged from 5.1 to 5.7% (male 8.5%, 9.8%; female 2.3%, 3.5%). We estimated 1525-1596 missed cancer diagnoses (ARIMA estimate -98, 3148; AAPC 514, 1729) in 2020. Most missed diagnoses were in males (ARIMA 1361 [327, 2394]; AAPC 1401 [1353, 1460]), with an estimated 479-557 missed cases of colorectal cancer (ARIMA 112, 837; AAPC 518, 597) and 256-352 missed cases of prostate cancer (AAPC 231, 280; ARIMA 110, 594).

CONCLUSION

The incidence of new cancer diagnoses declined in 2020 contrary to the long-term increase over the previous decades. Significantly lower diagnoses than expected were observed in males, particularly for colorectal and prostate cancers. Fewer reported cancer cases indicate missed diagnoses and could lead to delayed treatment that could impact future health outcomes.

The Impact of Time From Diagnosis to Initiation of Chemotherapy on Survival of Patients With Newly Diagnosed Diffuse Large B-Cell Lymphoma in the Veterans Health Administration

INTRODUCTION

Our retrospective study evaluates the impact of time from diagnosis to treatment (TDT) on outcomes of patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL) treated within the Veterans Health Administration (VHA).

METHODS

VHA patients diagnosed with DLBCL between 2011 and 2019 were included, while those with primary central nervous system lymphoma were excluded. The median overall survival and progression-free survival were estimated with the Kaplan-Meier method. Univariate, bivariate, and multivariable analyses were performed using the Cox proportional hazards model. The odds ratio for refractory outcomes was calculated using logistic regression.

RESULTS

A total of 2448 patients were included. The median time from diagnosis to treatment of the cohort was 19 days. When comparing median progression-free survival, median overall survival, and the 2-year overall survival between the group that started treatment within 1 week and each of the other groups individually, there was a significant difference favoring improved survival in all groups with a TDT longer than 1 week (P < .0001). These patients also had a lower odds ratio for refractory outcomes. On multivariable analysis, TDT remained an independent prognostic factor.

CONCLUSION

Our study shows that a TDT equal to or less than 1 week is associated with adverse clinical factors, worse outcomes, and response in DLBCL, even after adjusting for multiple known poor prognostic factors. This was the first time that response to first-line therapy was correlated to time to treatment. Our findings support ongoing efforts to improve currently standardized prognostic tools and the incorporation of TDT into clinical trials to avoid selection bias.

Timing to Surgery and Lymph Node Upstaging in Gastric Cancer: An NCDB Analysis

BACKGROUND

Prior studies have shown tumor specificity on the impact of longer time interval from diagnosis to surgery, however in gastric cancer (GC) this remains unclear. We aimed to determine if a longer time interval from diagnosis to surgery had an impact on lymph node (LN) upstaging and overall survival (OS) outcomes among patients with clinically node negative (cN0) GC.

PATIENTS AND METHODS

Patients diagnosed with cN0 GC undergoing surgery between 2004-2018 were identified in the National Cancer Database (NCDB) and divided into intervals between time of diagnosis and surgery [short interval (SI): ≥ 4 days to < 8 weeks and long interval (LI): ≥ 8 weeks]. Multivariable regression analysis evaluated the independent impact of surgical timing on LN upstaging and a Cox proportional hazards analysis and Kaplan-Meier curves evaluated survival outcomes.

RESULTS

Of 1824 patients with cN0 GC, 71.8% had a SI to surgery and 28.1% had a LI to surgery. LN upstaging was seen more often in the SI group when compared to LI group (82% versus 76%, p = 0.004). LI to surgery showed to be an independent factor protective against LN upstaging [adjusted odds ratio = 0.62, 95% CI: (0.39-0.99)]. Multivariate Cox regression analysis indicated that time to surgery was not associated with a difference in overall survival [hazard ratio (HR) = 0.91, 95% CI: (0.71-1.17)], however uncontrolled Kaplan-Meier curves showed OS difference between the SI and LI to surgery groups (p = 0.037).

CONCLUSION

Timing to surgery was not a predictor of LN upstaging or overall survival, suggesting that additional medical optimization in preparation for surgery and careful preoperative staging may be appropriate in patients with node negative early stage GC without affecting outcomes.

The impact of waiting time and delayed treatment on the outcomes of patients with hepatocellular carcinoma: A systematic review and meta-analysis

Hepatocellular carcinoma (HCC) is the sixth most diagnosed cancer worldwide. Healthcare resource constraints may predispose treatment delays. We aim to review existing literature on whether delayed treatment results in worse outcomes in HCC. PubMed, Embase, The Cochrane Library, and Scopus were systematically searched from inception till December 2022. Primary outcomes were overall survival (OS) and disease-free survival (DFS). Secondary outcomes included post-treatment mortality, readmission rates, and complications. Fourteen studies with a total of 135,389 patients (delayed n = 25,516, no delay n = 109,873) were included. Age, incidence of male patients, Child-Pugh B cirrhosis, and Barcelona Clinic Liver Cancer Stage 0/A HCC were comparable between delayed and no delay groups. Tumor size was significantly smaller in delayed versus no delay group (mean difference, -0.70 cm; 95% confidence interval [CI]: -1.14, 0.26; p = 0.002). More patients received radiofrequency ablation in delayed versus no delay group (OR, 1.22; 95% CI: 1.16, 1.27; p < 0.0001). OS was comparable between delayed and no delay in HCC treatment (hazard ratio [HR], 1.13; 95% CI: 0.99, 1.29; p = 0.07). Comparable DFS between delayed and no delay groups (HR, 0.99; 95% CI: 0.75, 1.30; p = 0.95) was observed. Subgroup analysis of studies that defined treatment delay as > 90 days showed comparable OS in the delayed group (HR, 1.04; 95% CI: 0.93, 1.16; p = 0.51). OS and DFS for delayed treatment were non-inferior compared to no delay, but might be due to better tumor biology/smaller tumor size in the delayed group.

Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer

Epithelial ovarian cancer (EOC) is the gynaecological malignancy with highest mortality. Although adjuvant treatment with carboplatin and paclitaxel leads to an objective response in ~80% of these patients, a majority will relapse within two years. Better methods for assessing long-term treatment outcomes are needed. To address this, we established safe and efficacious doses of carboplatin and paclitaxel using IGROV-1 zebrafish-CDX models. Then fluorescently-labelled cell suspensions from 83 tumour biopsies collected at exploratory laparotomy of women with suspected EOC were generated and 37 (45%) were successfully implanted in zebrafish larvae. Among these 19 of 27 pathology-confirmed EOC samples (70%) engrafted. These zebrafish patient-derived tumour xenograft (ZTX) models were treated with carboplatin or paclitaxel and tumour growth/regression and metastatic dissemination were recorded. In a subgroup of nine patients, four ZTX models regressed during carboplatin treatment. All four corresponding patients had >24 months PFS. Furthermore, both ZTX models established from two patients having <24 months PFS failed to regress during carboplatin treatment. Seven of eight models seeding <6 metastatic cells were established from patients having >24 months PFS. In eleven of fourteen patients, FIGO stage I + II or III tumours gave rise to ZTX models seeding <4 or >4 metastatic cells, respectively. In conclusion, ZTX models predicted patients having >24 or <24 months PFS, based on response/no response to carboplatin. Furthermore, high metastatic dissemination in ZTX models correlated to shorter PFS and more advanced disease at diagnosis. These preliminary results suggest that ZTX models could become a useful prognostic tool in EOC treatment planning.

Nativity differences in socioeconomic barriers and healthcare delays among cancer survivors in the All of Us cohort

PURPOSE

We aimed to assess whether nativity differences in socioeconomic (SES) barriers and health literacy were associated with healthcare delays among US cancer survivors.

METHODS

"All of Us" survey data were analyzed among adult participants ever diagnosed with cancer. A binary measure of healthcare delay (1+ delays versus no delays) was created. Health literacy was assessed using the Brief Health Literacy Screen. A composite measure of SES barriers (education, employment, housing, income, and insurance statuses) was created as 0, 1, 2, or 3+. Multivariable logistic regression model tested the associations of (1) SES barriers and health literacy with healthcare delays, and (2) whether nativity modified this relationship.

RESULTS

Median participant age was 64 years (n = 10,020), with 8% foreign-born and 18% ethnic minorities. Compared to survivors with no SES barriers, those with 3+ had higher likelihood of experiencing healthcare delays (OR 2.18, 95% CI 1.84, 2.58). For every additional barrier, the odds of healthcare delays were greater among foreign-born (1.72, 1.43, 2.08) than US-born (1.27, 1.21, 1.34). For every 1-unit increase in health literacy among US-born, the odds of healthcare delay decreased by 9% (0.91, 0.89, 0.94).

CONCLUSION

We found that SES barriers to healthcare delays have a greater impact among foreign-born than US-born cancer survivors. Higher health literacy may mitigate healthcare delays among US cancer survivors. Healthcare providers, systems and policymakers should assess and address social determinants of health and promote health literacy as a way to minimize healthcare delays among both foreign- and US-born cancer survivors.

Association between time from diagnosis to treatment and survival of patients with nasopharyngeal carcinoma: A population-based cohort study

BACKGROUND

Treatment delays have frequently been observed in cancer patients. Whether the treatment delays would impair the survival of patients with nasopharyngeal carcinoma (NPC) is still unclear.

METHODS

The data were derived from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. Patients were divided into groups of timely treatment (<1 month), intermediate delay (1 and 2 months), and long delay (3-6 months). The influence of different treatment delay intervals on long-term survival was evaluated by multivariate Cox regression analysis.

RESULTS

In total, 2,048 patients with NPC were included in our study. There were 551 patients in the early stage (I, II stage: 26.9 %) and 1,497 patients in the advanced stage (III, IV stage: 73.1 %). No significant difference in overall survival (OS) or cancer-specific survival (CSS) was observed among the groups with various treatment delay intervals (p = 0.48 in OS and p = 0.43 in CSS, respectively). However, upon adjusting for covariates, a significantly improved OS probability emerged in patients with intermediate treatment delays compared to those who received timely interventions in both the entire study population (adjustedHazard Ratio (aHR)=0.86, 95 % CI: 0.74-0.99, p = 0.043) and the subgroup with advanced stage (aHR=0.85, 95 % CI: 0.72-1.00, p = 0.049). Regarding the CSS probability, similar associations were also observed in the entire study population (aHR=0.84, 95 % CI: 0.71-0.98, p = 0.030) as well as the advanced-stage patients (aHR=0.83, 95 % CI: 0.70-0.99, p =  0.038).

CONCLUSIONS

Our results revealed that treatment delays are not associated with worse survival of NPC patients. Tumor-specific characteristics and subsequent treatment modalities play more pivotal roles in the prognosis of NPC.

Effect of a Same-Day-Appointment Initiative on Access-Related Benchmarks in Radiation Oncology

PURPOSE

The timely delivery of health care is an important quality indicator that has been shown to correlate with outcomes for cancer patients. We present our single-institution experience with the implementation of a same-day-access scheduling initiative in outpatient radiation oncology.

METHODS AND MATERIALS

From March 2021 to March 2023, a total of 4301 consecutive new patients referred for radiation oncology consultation were offered same-day appointments as part of a prospective pilot initiative conducted at a tertiary-based academic medical center. Descriptive statistics were used to study the effect of this initiative on access-related benchmarks compared with historical control patients referred during a preceding 24-month period.

RESULTS

Among the 3414 patients scheduled, 477 (14%) opted for same-day appointments. Black, Latino, and Asian patients were significantly more likely to use same-day access versus Caucasian patients (P < .001). The same-day-access initiative increased the proportion of patients seen within 5 days from referral from 22% to 61% (P < .001). The median time from referral to consult was 12 days (range, 0-149 days) before the implementation of the same-day-access initiative compared with 3 days (range, 0-101 days) after (P < .001). The no-show rate was reduced from 15% to 7% with the initiative (P < .001). All patients who requested a same-day appointment were successfully accommodated.

CONCLUSIONS

The implementation of this same-day-access initiative enhanced operational efficiency and reduced barriers to care in the outpatient setting.

Hospital factors determining overall survival in cancer patients undergoing curative treatment

BACKGROUND

In oncology, overall survival (OS) and quality of life (QoL) are key indicators. The factors that affect OS and QoL include tumor-related characteristics (stage and grade), patient-related factors (performance status and comorbidities), and cancer-directed therapy (CDT)-related aspects. In addition, external factors such as governance or policy (e.g., inaccessibility to CDT, increased distance to service, poor socioeconomic status, lack of insurance), and hospital-related factors (e.g., facility volume and surgeon volume) can influence OS and QoL.

MATERIALS AND METHODS

The primary objective of this narrative review was to identify hospital-related factors that affect OS and QoL in patients receiving curative CDT. The authors defined extrinsic factors that can be modified at the hospital level as "hospital-related" factors. Only factors supported by randomized controlled trials (RCT), systematic reviews (SR) and/or meta-analyses (MA), and population database (PDB) analyses that address the relationship between OS and hospital factors were considered.

RESULTS

The literature review found that high hospital or oncologist volume, adherence to evidence-based medicine (EBM), optimal time-to-treatment initiation (TTI), and decreased overall treatment time (OTT) increase OS in patients undergoing curative CDT. The use of case management strategies was associated with better symptom management and treatment compliance, but had a mixed effect on QoL. The practice of enhanced recovery after surgery (ERAS) in cancer patients did not result in an increase in OS. There was insufficient evidence to support the impact of factors such as teaching or academic centers, hospital infrastructure, and treatment compliance on OS and QoL.

CONCLUSION

The authors conclude that hospital policies should focus on increasing hospital and oncologist volume, adhering to EBM, optimizing TTI, and reducing OTT for cancer patients receiving curative treatment.

Registry-derived stage (RD-Stage) for capturing cancer stage at diagnosis for endometrial cancer

BACKGROUND

Capture of cancer stage at diagnosis is important yet poorly reported by health services to population-based cancer registries. In this paper we describe current completeness of stage information for endometrial cancer available in Australian cancer registries; and develop and validate a set of rules to enable cancer registry medical coders to calculate stage using data available to them (registry-derived stage or 'RD-Stage').

METHODOLOGY

Rules for deriving RD-stage (Endometrial carcinoma) were developed using the American Joint Commission on Cancer (AJCC) TNM (tumour, nodes, metastasis) Staging System (8th Edition). An expert working group comprising cancer specialists responsible for delivering cancer care, epidemiologists and medical coders reviewed and endorsed the rules. Baseline completeness of data fields required to calculate RD-Stage, and calculation of the proportion of cases for whom an RD stage could be assigned, was assessed across each Australian jurisdiction. RD-Stage (Endometrial cancer) was calculated by Victorian Cancer Registry (VCR) medical coders and compared with clinical stage recorded by the patient's treating clinician and captured in the National Gynae-Oncology Registry (NGOR).

RESULTS

The necessary data completeness level for calculating RD-Stage (Endometrial carcinoma) across various Australian jurisdictions varied from 0 to 89%. Three jurisdictions captured degree of spread of cancer, rendering RD-Stage unable to be calculated. RD-Stage (Endometrial carcinoma) could not be derived for 64/485 (13%) cases and was not captured for 44/485 (9%) cases in NGOR. At stage category level (I, II, III, IV), there was concordance between RD-Stage and NGOR captured stage in 393/410 (96%) of cases (95.8%, Kendall's coefficient = 0.95).

CONCLUSION

A lack of consistency in data captured by, and data sources reporting to, population-based cancer registries meant that it was not possible to provide national endometrial carcinoma stage data at diagnosis. In a sample of Victorian cases, where surgical pathology was available, there was very good concordance between RD-Stage (Endometrial carcinoma) and clinician-recorded stage data available from NGOR. RD-Stage offers promise in capturing endometrial cancer stage at diagnosis for population epidemiological purposes when it is not provided by health services, but requires more extensive validation.

Trends in the stage distribution of colorectal cancer during the COVID-19 pandemic in Japan: a nationwide hospital-claims data analysis

BACKGROUND

The COVID-19 pandemic has affected cancer care. The aim of this study was to clarify the trend of colorectal cancer (CRC) stage distribution in Japan during the COVID-19 pandemic.

METHODS

In this retrospective study, we used an inpatient medical claims database established at approximately 400 acute care hospitals. From the database, we searched patients who were identified as having the main disease (using ICD-10codes [C18.0-C20]) between January 2018 and December 2020. A multivariate logistic regression analysis was used to determine the impact of the pandemic on CRC stage distribution each month, and the odds ratio (OR) for late-stage cancer was calculated.

RESULTS

We analyzed 99,992 CRC patients. Logistic regression analysis, including the interaction term between increased late-stage CRC effect during the pandemic period and by each individual month, showed that the OR for late-stage CRC was highest in July during the pandemic, at 1.31 (95%CI: 1.13- 1.52) and also significantly higher in September at 1.16 (95%CI: 1.00- 1.35).

CONCLUSION

We investigated the trend of CRC stage distribution during the COVID-19 pandemic using a nationwide hospital-claims database in Japan, and found that the proportion of early-stage cancers tended to decrease temporarily after the state of emergency declaration due to the COVID-19 pandemic, but the effect was only temporary.

Effect of a same day appointment initiative on racial disparities in access for radiation oncology

PURPOSE

We present our single-institution experience with the development of a same day access scheduling initiative for an outpatient radiation oncology unit, focusing on its potential influence on ameliorating racial disparities.

METHODS AND MATERIALS

From March 2021 to August 2022, a pilot initiative was conducted such that all new patients referred to a tertiary care-based radiation oncology department were offered the ability to be seen as a same day consultation. The timespan of this analysis was categorized into 2 distinct successive periods over 36 months-a 18-month pre-initiative period (September 2019 to February 2021) and another subsequent one (March 2021 to August 2022). Descriptive statistics were used to study the impact of this initiative on access-related benchmarks.

RESULTS

A total of 2897 patients were referred. Among the 2107 patients scheduled, three hundred and sixteen (15 %) opted for same day appointments. Black, Latino, and Asian patients were significantly more likely to use the same day access initiative versus Caucasian patients (p = 0.01). The same day access initiative increased the proportion of patients seen within 5 days from referral from 8 % to 34 % for Blacks, 12-57 % for Latinos, and 18-67 % for Asians, compared to 39-55 % for Caucasians (p < 0.001). The no-show rate was reduced from 20 % to 7 % and 14-5 %, for Black and Latino patients, respectively (p < 0.001).

CONCLUSIONS

The implementation of a same day access initiative narrowed disparities with respect to access-related benchmarks.

Does Multidisciplinary Team Management Improve Clinical Outcomes in NSCLC? A Systematic Review With Meta-Analysis

Introduction

The implementation of multidisciplinary teams (MDTs) has been found to be effective for improving outcomes in oncology. Nevertheless, there is still a dearth of robust literature on patients with NSCLC. The aim of this study was to conduct a systematic review regarding the impact of MDTs on patient with NSCLC outcomes.

Methods

Databases were systematically searched up to February 2023. Two reviewers independently performed study selection and data extraction. Risk of bias was evaluated using the Newcastle-Ottawa and certainty of evidence by the Grading of Recommendations Assessment, Development and Evaluation approach. Overall survival was the primary outcome. Secondary outcomes included mortality, length of survival, progression-free survival, time from diagnosis to treatment, complete staging, treatment received, and adherence to guidelines. A meta-analysis with a random-effect model was performed. Statistical analysis was performed with the R 3.6.2 package.

Results

A total of 22 studies were included in the systematic review. Ten outcomes were identified, favoring the MDT group over the non-MDT group. Pooled analysis revealed that patients managed by MDTs had better overall survival (three studies; 38,037 participants; hazard ratio 0.60, 95% confidence interval [CI]: 0.49-0.75, I2 = 78%), shorter treatment time compared with patients in the non-MDT group (six studies; 15,235 participants; mean difference = 12.20 d, 95% CI: 10.76-13.63, I2 = 63%), and higher proportion of complete staging (four studies; 14,925 participants; risk ratio = 1.36, 95% CI: 1.17-1.57, I2 = 89%).

Conclusions

This meta-analysis revealed that MDT-based patient care was associated with longer overall survival and better quality-of-care-related outcomes.

Telehealth Availability for Cancer Care During the COVID-19 Pandemic: Cross-Sectional Study

BACKGROUND

Telehealth was an important strategy for maintaining continuity of cancer care during the coronavirus pandemic and has continued to play a role in outpatient care; however, it is unknown whether services are equally available across cancer hospitals.

OBJECTIVE

This study aimed to assess telehealth availability at cancer hospitals for new and established patients with common cancers to contextualize the impact of access barriers to technology on overall access to health care.

METHODS

We conducted a national cross-sectional secret shopper study from June to November 2020 to assess telehealth availability at cancer hospitals for new and established patients with colorectal, breast, and skin (melanoma) cancer. We examined facility-level factors to determine predictors of telehealth availability.

RESULTS

Of the 312 investigated facilities, 97.1% (n=303) provided telehealth services for at least 1 cancer site. Telehealth was less available to new compared to established patients (n=226, 72% vs n=301, 97.1%). The surveyed cancer hospitals more commonly offered telehealth visits for breast cancer care (n=266, 85%) and provided lower access to telehealth for skin (melanoma) cancer care (n=231, 74%). Most hospitals (n=163, 52%) offered telehealth for all 3 cancer types. Telehealth availability was weakly correlated across cancer types within a given facility for new (r=0.16, 95% CI 0.09-0.23) and established (r=0.14, 95% CI 0.08-0.21) patients. Telehealth was more commonly available for new patients at National Cancer Institute-designated facilities, medical school-affiliated facilities, and major teaching sites, with high total admissions and below-average timeliness of care. Telehealth availability for established patients was highest at Academic Comprehensive Cancer Programs, nongovernment and nonprofit facilities, medical school-affiliated facilities, Accountable Care Organizations, and facilities with a high number of total admissions.

CONCLUSIONS

Despite an increase in telehealth services for patients with cancer during the COVID-19 pandemic, we identified differences in access across cancer hospitals, which may relate to measures of clinical volume, affiliation, and infrastructure.

Prognostic significance of time trends in treatment of head and neck squamous cell carcinoma

PURPOSE

To analyze the impact of demographic, clinical, and management variables on time to treatment initiation (TTI) and overall survival (OS).

STUDY DESIGN

Retrospective chart review.

MATERIALS AND METHODS

Medical records of patients diagnosed with head and neck cancer from 2018 to 2020 were reviewed. Univariate linear and Cox-regressions identified predictors of TTI and OS. Kaplan Meier (KM) curves assessed the difference in survival by diagnostic year and TTI.

RESULTS

381 patients met eligibility criteria. Median TTI was 35.0 days (IQR: 25.0-49.0). Only 10.8 % of all patients reported any treatment delay, with TTI exceeding 90 days found in 3.7 % of patients. TTI increased with African American race (p = 0.02), ED referrals (p = 0.02), and direct admission status (p = 0.01). When compared to treatment with surgery alone, TTI was shorter in patients undergoing surgery with adjuvant radiation (p = 0.02), adjuvant chemoradiation (p = 0.04), and salvage surgery (p = 0.04). Univariate Cox-regressions found smoking (p = 0.01), direct admission status (p = 0.02), increased duration of symptoms (p = 0.02), placement of PEG tubes (p < 0.01) and tracheostomies (p < 0.01), combination treatment (p < 0.01), and surgery with adjuvant chemoradiation treatment (p = 0.01) to increase mortality risk. Disease characteristics, including tumor size (p < 0.01), presence of nodal disease (p = 0.02), and late-stage disease (p < 0.01), increased mortality risk. TTI and diagnostic year did not impact survival.

CONCLUSIONS

Our analysis determined several demographic, referral, and treatment factors impacted TTI. However, increased TTI did not impact survival. Characteristics consistent with advanced disease worsened OS. Despite the pandemic burden, patients diagnosed in 2020 showed no difference in short-term survival compared to prior years.

Impact of time-to-treatment on survival for early-stage non-small cell lung cancer in The Netherlands-a nationwide observational cohort study

Background

Varied outcomes on the relation between time-to-treatment and survival in early-stage non-small cell lung cancer (NSCLC) patients are reported. We examined this relation in a large multicentric retrospective cohort study and identified factors associated with extended time-to-treatment.

Methods

We included 9,536 patients with clinical stage I-II NSCLC, diagnosed and treated in 2014-2019, from the Netherlands Cancer Registry that includes nation-wide data. Time-to-treatment was defined as the number of days between first outpatient visit for suspected lung cancer and start of treatment. The effect of extended time-to-treatment beyond the first quartile and survival was studied with Cox proportional hazard regression. Analyses were stratified for stage and type of therapy. Time-to-treatment was adjusted for multiple covariates including performance status and socioeconomic status. Factors associated with treatment delay were identified by multilevel logistic regression.

Results

Median time-to-treatment was 47 days [interquartile range (IQR): 34-65] for stage I and 46 days (IQR: 34-62) for stage II. The first quartile extended to 33 days for both stages. Risk of death increased significantly with extended time-to-treatment for surgical treatment of clinical stage II patients [adjusted hazard ratio (aHR) >33 days: 1.36, 95% confidence intervals (CI): 1.09-1.70], but not in stage II patients treated with radiotherapy or in stage I patients. Causes of prolonged time-to-treatment were multifactorial including diagnostic tests, such as endoscopic ultrasound (EUS) or endobronchial ultrasound (EBUS).

Conclusions

Clinical stage II patients benefit from fast initiation of surgical treatment. Surprisingly this appears to be accounted for by patients who are clinically stage II but pathologically stage I. Further study is needed on characterizing these patients and the significance of lymph node- or distant micrometastasis in guiding time-to-treatment and treatment strategy.

Evaluating the health and health economic impact of the COVID-19 pandemic on delayed cancer care in Belgium: A Markov model study protocol

INTRODUCTION

Cancer causes a substantial burden to our society, both from a health and an economic perspective. To improve cancer patient outcomes and lower society expenses, early diagnosis and timely treatment are essential. The recent COVID-19 crisis has disrupted the care trajectory of cancer patients, which may affect their prognosis in a potentially negative way. The purpose of this paper is to present a flexible decision-analytic Markov model methodology allowing the evaluation of the impact of delayed cancer care caused by the COVID-19 pandemic in Belgium which can be used by researchers to respond to diverse research questions in a variety of disruptive events, contexts and settings.

METHODS

A decision-analytic Markov model was developed for 4 selected cancer types (i.e. breast, colorectal, lung, and head and neck), comparing the estimated costs and quality-adjusted life year losses between the pre-COVID-19 situation and the COVID-19 pandemic in Belgium. Input parameters were derived from published studies (transition probabilities, utilities and indirect costs) and administrative databases (epidemiological data and direct medical costs). One-way and probabilistic sensitivity analyses are proposed to consider uncertainty in the input parameters and to assess the robustness of the model's results. Scenario analyses are suggested to evaluate methodological and structural assumptions.

DISCUSSION

The results that such decision-analytic Markov model can provide are of interest to decision makers because they help them to effectively allocate resources to improve the health outcomes of cancer patients and to reduce the costs of care for both patients and healthcare systems. Our study provides insights into methodological aspects of conducting a health economic evaluation of cancer care and COVID-19 including insights on cancer type selection, the elaboration of a Markov model, data inputs and analysis.

The journey of cancer patients and the quest to equity: findings from Morocco

OBJECTIVES

Rapid diagnostic and assessment pathways for cancer patients provide timely and effective care. This study took place in Morocco, where the majority of patients treated in the public sector are diagnosed at an advanced stage. The aim of this study was to determine the duration of different time intervals along the cancer patient pathway and to highlight problem areas so that strategies can be implemented to make the process more equitable and effective.

STUDY DESIGN

Cross-sectional study.

METHODS

Recently diagnosed cancer patients were recruited from four major oncology centres in Morocco; namely, Marrakech, Casablanca, Rabat, and Fez. A questionnaire survey was administered, including sociodemographic and medical information and questions on access to the oncology centre, beliefs, and opinions on the medical staff. The dates of symptom recognition, assessment, diagnosis referral, biopsy, and treatment initiation were collected. Different time intervals (patient, diagnosis, biopsy, and treatment) were estimated and their determinants were investigated.

RESULTS

A total of 812 patients were interviewed. The majority of participants were breast cancer patients. In total, 60% of participants were at stage III-IV. The main facilitators of cancer diagnosis confirmation and treatment initiation were easy access to diagnosis and treatment facilities, financial resources, personal history of cancer, time availability, late stage at diagnosis, advanced age, and private health insurance. The patient interval (i.e., time from symptom recognition to initial healthcare assessment) had a median duration of 30 days. The biopsy and treatment intervals were within the current international recommendations (7 and 28 days, respectively). However, the diagnosis interval (52 days) was twice as long as the recommended timeframes from the UK, Australia, and the World Health Organization (<28 days).

CONCLUSIONS

Interval targets should be defined to encourage health systems to be more equitable and effective and to ensure that cancer patients are treated within a defined timeframe.

Changes in the Number of Gastrointestinal Cancers and Stage at Diagnosis with COVID-19 Pandemic in Japan: A Multicenter Cohort Study

This retrospective cohort study compared the number of newly diagnosed patients, stage at diagnosis, and detection process of gastrointestinal cancers based on hospital-based cancer registry data at two tertiary Japanese hospitals. The pre-COVID-19 period was from January 2017 to February 2020, with phase 1 (midst of COVID-19 pandemic) from March to December 2020 and phase 2 (the transition period to the "new normal") from January to December 2021. Each month, the number of patients diagnosed with esophageal, gastric, colorectal, pancreatic, liver, and biliary tract cancers were aggregated, classified by stage and detection process, and compared, including a total of 6453 patients. The number of colorectal Stage 0-II patients decreased significantly in phase 1 and increased in phase 2. The total number of colorectal cancer patients returned to pre-COVID-19 levels (mean monthly patients [SD]: 41.61 [6.81] vs. 36.00 [6.72] vs. 46.00 [11.32]). The number of patients with gastric cancer Stage I significantly decreased in phase 2 following phase 1. The number of gastric cancer patients decreased significantly from pre-COVID-19 levels (30.63 [6.62] vs. 22.40 [5.85] vs. 24.50 [4.15]). During phase 2, the number of patients diagnosed after screening with colorectal cancer increased significantly, whereas that with gastric cancer remained considerably lower. The number of Stage III colorectal and gastric cancer patients increased significantly from the pre-COVID-19 levels. Thus, gastric cancer may not be optimally screened during phases 1 and 2. There was a significant increase in patients with Stage III colorectal and gastric cancers from the pre-COVID-19 period; hence, the stage at diagnosis may have progressed.

Fecal occult blood and calprotectin testing to prioritize primary care patients for colonoscopy referral: The advantage study

BACKGROUND

Colonoscopy is the gold standard for colorectal cancer (CRC) diagnosis and screening, but endoscopy services are usually overburdened. This study aims to investigate the usefulness of fecal hemoglobin (fHb) and calprotectin (FC) for the identification of patients with high probability of CRC who need urgent referral.

METHODS

In a multicenter prospective study, we enrolled symptomatic patients referred from primary care for colonoscopy. Prior to bowel preparation, fHb and FC quantitative tests were performed. The diagnostic performance was estimated for each biomarker/combination. We built a multivariable predictive model based on logistic regression, translated to a nomogram and a risk calculator to assist clinicians in the decision-making process.

RESULTS

The study included 1224 patients, of whom 69 (5.6%) had CRC. At the fHb cut-offs of >0 and 10 μg/g, the negative predictive values for CRC were 98.8% (95% confidence interval 97.8%-99.3%) and 98.6% (95%CI 97.7%-99.1%), and the sensitivities were 85.5% (95%CI 75.0%-92.8%) and 79.7% (95%CI 68.3%-88.4%), respectively. When we added the cut-off of 150 μg/g of FC to both fHb thresholds, the sensitivity of fecal tests improved. In the multivariate logistic regression model, the concentration of fHb was an independent predictor for CRC; age and gender were also independently associated with CRC.

CONCLUSIONS

fHb and FC are useful as part of a triage tool to identify those symptomatic patients with high probability of CRC. This can be easily applied by physicians to prioritize high-risk patients for urgent colonoscopy.

Disparities in time to prostate cancer treatment initiation before and after the Affordable Care Act

BACKGROUND

Delayed access to care may contribute to disparities in prostate cancer (PCa). The Affordable Care Act (ACA) aimed at increasing access and reducing healthcare disparities, but its impact on timely treatment initiation for PCa men is unknown.

METHODS

Men with intermediate- and high-risk PCa diagnosed 2010-2016 and treated with curative surgery or radiotherapy were identified in the National Cancer Database. Multivariable logistic regression modeled the effect of race and insurance type on treatment delay >180 days after diagnosis. Cochran-Armitage test measured annual trends in delays, and joinpoint regression assessed if 2014, the year the ACA became fully operationalized, was significant for inflection in crude rates of major delays.

RESULTS

Of 422,506 eligible men, 18,720 (4.4%) experienced >180-day delay in treatment initiation. Compared to White patients, Black (OR 1.79, 95% CI 1.72-1.87, p < 0.001) and Hispanic (OR 1.37, 95% CI 1.28-1.48, p < 0.001) patients had higher odds of delay. Compared to uninsured, those with Medicaid had no difference in odds of delay (OR 0.94, 95% CI 0.84-1.06, p = 0.31), while those with private insurance (OR 0.57, 95% CI 0.52-0.63, p < 0.001) or Medicare (OR 0.64, 95% CI 0.58-0.70, p < 0.001) had lower odds of delay. Mean time to treatment significantly increased from 2010 to 2016 across all racial/ethnic groups (trend p < 0.001); 2014 was associated with a significant inflection for increase in rates of major delays.

CONCLUSIONS

Non-White and Medicaid-insured men with localized PCa are at risk of treatment delays in the United States. Treatment delays have been consistently rising, particularly after implementation of the ACA.

Social connectedness and health-related quality of life among patients with cancer undergoing chemotherapy: A mixed method approach using structural equation modelling and photo-elicitation

OBJECTIVE

To develop and test the model of association of social connectedness and health-related quality of life (HRQoL) among patients with cancer undergoing chemotherapy and to describe their social connectedness through photo-elicitation.

BACKGROUND

Social connectedness has been empirically associated with several well-being outcomes. However, little is known on the association of social connectedness among patients with cancer undergoing chemotherapy.

METHODS

Employing a mixed-methods design following the good reporting of a mixed methods study guideline, the quantitative approach involved 230 consecutively-selected patients with cancer undergoing chemotherapy who answered a three-part survey. From these patients, six informants participated in the photo-elicitation and key informant interview sessions. Gathered data were quantitatively analyzed using structural equation modelling and qualitatively processed using polytextual thematic analysis.

RESULTS AND FINDINGS

Social connectedness had a positive influence on social well-being (β = .22, p = .008) and emotional well-being (β = .20, p = .023); however, it had a negative effect on functional well-being (β = -.20, p = .007). The overall model revealed good model indices: χ2 /df = .82, RMSEA = .01, GFI = 1.00. Qualitative analysis culled from photo-elicitation uncovered five interconnected themes yielding the Honeycomb model of social connectedness which was composed of correspondence, cohesion, constitution, convergence and corroboration.

CONCLUSION

HRQoL among patients with cancer undergoing chemotherapy is a multi-factorial health construct affected by social connectedness. The presented model emphasises the importance of social connectedness and paves way for the development of appropriate strategies to promote social connectedness among patients with cancer undergoing chemotherapy.

RELEVANCE TO CLINICAL PRACTICE

The findings provide impetus in the modification and development of appropriate practices, policies and strategies in promoting social connectedness. These approaches are geared towards patient-family empowerment and health education techniques to ascertain that assistance from significant others is provided without limiting the patient's autonomy or independence.

Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022

BACKGROUND

Lower neighborhood socioeconomic status (SES) is associated with suboptimal cancer care and reduced survival. Most studies examining cancer inequities across area-level socioeconomic status tend to use less granular or unidimensional measures and pre-date the COVID-19 pandemic. Here, we examined the association of area-level socioeconomic status on real-world treatment initiation and overall survival among adults with 20 common cancers.

METHODS

This retrospective cohort study used electronic health record-derived deidentified data (Flatiron Health Research Database, 2011-2022) linked to US Census Bureau data from the American Community Survey (2015-2019). Area-level socioeconomic status quintiles (based on a measure incorporating income, home values, rental costs, poverty, blue-collar employment, unemployment, and education information) were computed from the US population and applied to patients based on their mailing address. Associations were examined using Cox proportional hazards models adjusted for diagnosis year, age, sex, performance status, stage, and cancer type.

RESULTS

This cohort included 291 419 patients (47.7% female; median age = 68 years). Patients from low-SES areas were younger and more likely to be Black (21.9% vs 3.3%) or Latinx (8.4% vs 3.0%) than those in high-SES areas. Living in low-SES areas (vs high) was associated with lower treatment rates (hazard ratio = 0.94 [95% confidence interval = 0.93 to 0.95]) and reduced survival (median real-world overall survival = 21.4 vs 29.5 months, hazard ratio = 1.20 [95% confidence interval = 1.18 to 1.22]). Treatment and survival inequities were observed in 9 and 19 cancer types, respectively. Area-level socioeconomic inequities in treatment and survival remained statistically significant in the COVID-19 era (after March 2020).

CONCLUSION

To reduce inequities in cancer outcomes, efforts that target marginalized, low-socioeconomic status neighborhoods are necessary.

Breast Cancer Cryoablation in the Multidisciplinary Setting: Practical Guidelines for Patients and Physicians

Breast cancer cryoablation has emerged as a minimally invasive alternative to lumpectomy for treating early-stage breast cancer. However, no consensus exists on what should be considered the standard of care for the multidisciplinary management of patients treated with breast cancer cryoablation. In lieu of national guidelines, this review of the literature provides a multidisciplinary framework and an evidence-based discussion of the integration of "standard of care practices" in the comprehensive management of breast cancer cryoablation patients.

Nanoparticles in Medicine: Current Status in Cancer Treatment

Cancer is still a leading cause of deaths worldwide, especially due to those cases diagnosed at late stages with metastases that are still considered untreatable and are managed in such a way that a lengthy chronic state is achieved. Nanotechnology has been acknowledged as one possible solution to improve existing cancer treatments, but also as an innovative approach to developing new therapeutic solutions that will lower systemic toxicity and increase targeted action on tumors and metastatic tumor cells. In particular, the nanoparticles studied in the context of cancer treatment include organic and inorganic particles whose role may often be expanded into diagnostic applications. Some of the best studied nanoparticles include metallic gold and silver nanoparticles, quantum dots, polymeric nanoparticles, carbon nanotubes and graphene, with diverse mechanisms of action such as, for example, the increased induction of reactive oxygen species, increased cellular uptake and functionalization properties for improved targeted delivery. Recently, novel nanoparticles for improved cancer cell targeting also include nanobubbles, which have already demonstrated increased localization of anticancer molecules in tumor tissues. In this review, we will accordingly present and discuss state-of-the-art nanoparticles and nano-formulations for cancer treatment and limitations for their application in a clinical setting.

Pre-Hospital Management of Patients with COVID-19 and the Impact on Hospitalization

Background and Objectives: During the COVID-19 pandemic, patient care was mainly organized around the hospital. Pre-hospital care has, to our knowledge, never been evaluated. We aimed to study the impact of pre-hospital pathways on hospitalization during the last part of the pandemic. Materials and Methods: This was a monocentric, retrospective analysis of prospectively collected medical records. Data from patients admitted to our institute between 1 February and 7 March 2022 were analyzed. The primary outcomes were defined as the number of hospitalizations, resuscitations, and deaths at the time of interview and in the subsequent 30 days. The main explanatory variables were times from onset of symptoms to care, age, gender, News2 score, comorbidities, and pre-hospital pathways and their duration. Results: Three pre-hospital pathways were identified: a pathway in which the patient consults a general practitioner for a test (PHP1); a pathway in which the patient consults for care (PHP2); and no pre-hospital pathway and direct admission to hospital (PHP3). Factors independently associated with outcome (hospitalization) were being male (OR 95% CI; 2.21 (1.01-4.84), p = 0,04), News2 score (OR 95% CI; 2.04 (1.65-2.51), p < 0.001), obesity (OR 95% CI; 3.45 (1.48-8.09), p = 0.005), D-dimers > 0.5 µg/mL (OR 95% CI; 3.45 (1.47-8.12), p = 0.005), and prolonged time from symptoms to hospital care (PHP duration) (OR 95% CI; 1.07 (1.01-1.14), p = 0.03). All things being equal, patients with a "PHP2" pre-hospital pathway had a higher probability of hospitalization compared to those with a "PHP3" pre-hospital pathway (OR 95% CI; 4.31 (1.48-12.55), p = 0.007). Conclusions: Along with recognized risk factors such as gender, News 2 score, and obesity, the patient's pre-hospital pathway is an important risk factor associated with hospitalization.

Estimating the influencing factors for T1b/T2 gallbladder cancer on survival and surgical approaches selection

BACKGROUND

The influencing factors, especially time to treatment (TTT), for T1b/T2 gallbladder cancer (GBC) patients remain unknown. We aimed to identify the influencing factors on survival and surgical approaches selection for T1b/T2 GBC.

METHODS

We retrospectively screened GBC patients between January 2011 and August 2018 from our hospital. Clinical variables, including patient characteristics, TTT, overall survival (OS), disease-free survival (DFS), surgery-related outcomes, and surgical approaches were collected.

RESULTS

A total of 114 T1b/T2 GBC patients who underwent radical resection were included. Based on the median TTT of 7.5 days, the study cohort was divided into short TTT group (TTT ≤7 days, n = 57) and long TTT group (TTT >7 days, n = 57). Referrals were identified as the primary factor prolonging TTT (p < 0.001). There was no significance in OS (p = 0.790), DFS (p = 0.580), and surgery-related outcomes (all p > 0.05) between both groups. Decreased referrals (p = 0.005), fewer positive lymph nodes (LNs; p = 0.004), and well tumor differentiation (p = 0.004) were all associated with better OS, while fewer positive LNs (p = 0.049) were associated with better DFS. Subgroup analyses revealed no significant difference in survival between patients undergoing laparoscopic or open approach in different TTT groups (all p > 0.05). And secondary subgroup analyses found no significance in survival and surgery-related outcomes between different TTT groups of incidental GBC patients (all p > 0.05).

CONCLUSIONS

Positive LNs and tumor differentiation were prognostic factors for T1b/T2 GBC survival. Referrals associating with poor OS would delay TTT, while the prolonged TTT would not impact survival, surgery-related outcomes, and surgical approaches decisions in T1b/T2 GBC patients.

Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia

BACKGROUND

Little is known regarding the association between insurance status and treatment delays in women with breast cancer and whether this association varies by neighborhood socioeconomic deprivation status.

METHODS

In this cohort study, we used medical record data of women diagnosed with breast cancer between 2004 and 2022 at two Georgia-based healthcare systems. Treatment delay was defined as >90 days to surgery or >120 days to systemic treatment. Insurance coverage was categorized as private, Medicaid, Medicare, other public, or uninsured. Area deprivation index (ADI) was used as a proxy for neighborhood-level socioeconomic status. Associations between delayed treatment and insurance status were analyzed using logistic regression, with an interaction term assessing effect modification by ADI.

RESULTS

Of the 14,195 women with breast cancer, 54% were non-Hispanic Black and 52% were privately insured. Compared with privately insured patients, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 79%, 75%, and 27% higher odds of delayed treatment, respectively (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.32-2.43; OR: 1.75, 95% CI: 1.43-2.13; OR: 1.27, 95% CI: 1.06-1.51). Among patients living in low-deprivation areas, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 100%, 84%, and 26% higher odds of delayed treatment than privately insured patients (OR: 2.00, 95% CI: 1.44-2.78; OR: 1.84, 95% CI: 1.48-2.30; OR: 1.26, 95% CI: 1.05-1.53). No differences in the odds of delayed treatment by insurance status were observed in patients living in high-deprivation areas.

DISCUSSION/CONCLUSION

Insurance status was associated with treatment delays for women living in low-deprivation neighborhoods. However, for women living in neighborhoods with high deprivation, treatment delays were observed regardless of insurance status.

A review on deep learning applications in highly multiplexed tissue imaging data analysis

Since its introduction into the field of oncology, deep learning (DL) has impacted clinical discoveries and biomarker predictions. DL-driven discoveries and predictions in oncology are based on a variety of biological data such as genomics, proteomics, and imaging data. DL-based computational frameworks can predict genetic variant effects on gene expression, as well as protein structures based on amino acid sequences. Furthermore, DL algorithms can capture valuable mechanistic biological information from several spatial "omics" technologies, such as spatial transcriptomics and spatial proteomics. Here, we review the impact that the combination of artificial intelligence (AI) with spatial omics technologies has had on oncology, focusing on DL and its applications in biomedical image analysis, encompassing cell segmentation, cell phenotype identification, cancer prognostication, and therapy prediction. We highlight the advantages of using highly multiplexed images (spatial proteomics data) compared to single-stained, conventional histopathological ("simple") images, as the former can provide deep mechanistic insights that cannot be obtained by the latter, even with the aid of explainable AI. Furthermore, we provide the reader with the advantages/disadvantages of DL-based pipelines used in preprocessing highly multiplexed images (cell segmentation, cell type annotation). Therefore, this review also guides the reader to choose the DL-based pipeline that best fits their data. In conclusion, DL continues to be established as an essential tool in discovering novel biological mechanisms when combined with technologies such as highly multiplexed tissue imaging data. In balance with conventional medical data, its role in clinical routine will become more important, supporting diagnosis and prognosis in oncology, enhancing clinical decision-making, and improving the quality of care for patients. Since its introduction into the field of oncology, deep learning (DL) has impacted clinical discoveries and biomarker predictions. DL-driven discoveries and predictions in oncology are based on a variety of biological data such as genomics, proteomics, and imaging data. DL-based computational frameworks can predict genetic variant effects on gene expression, as well as protein structures based on amino acid sequences. Furthermore, DL algorithms can capture valuable mechanistic biological information from several spatial "omics" technologies, such as spatial transcriptomics and spatial proteomics. Here, we review the impact that the combination of artificial intelligence (AI) with spatial omics technologies has had on oncology, focusing on DL and its applications in biomedical image analysis, encompassing cell segmentation, cell phenotype identification, cancer prognostication, and therapy prediction. We highlight the advantages of using highly multiplexed images (spatial proteomics data) compared to single-stained, conventional histopathological ("simple") images, as the former can provide deep mechanistic insights that cannot be obtained by the latter, even with the aid of explainable AI. Furthermore, we provide the reader with the advantages/disadvantages of the DL-based pipelines used in preprocessing the highly multiplexed images (cell segmentation, cell type annotation). Therefore, this review also guides the reader to choose the DL-based pipeline that best fits their data. In conclusion, DL continues to be established as an essential tool in discovering novel biological mechanisms when combined with technologies such as highly multiplexed tissue imaging data. In balance with conventional medical data, its role in clinical routine will become more important, supporting diagnosis and prognosis in oncology, enhancing clinical decision-making, and improving the quality of care for patients.

Hepatopancreatobiliary malignancies: time to treatment matters

Background

Initiation of oncologic care is often delayed, yet little is known about delays in hepatopancreatobiliary (HPB) cancers or their impact. This retrospective cohort study describes trends in time to treatment initiation (TTI), assesses the association between TTI and survival, and identifies predictors of TTI in HPB cancers.

Methods

The National Cancer Database was queried for patients with cancers of the pancreas, liver, and bile ducts between 2004 and 2017. Kaplan-Meier survival analysis and Cox regression were used to investigate the association between TTI and overall survival for each cancer type and stage. Multivariable regression identified factors associated with longer TTI.

Results

Of 318,931 patients with HPB cancers, median TTI was 31 days. Longer TTI was associated with increased mortality in patients with stages I-III extrahepatic bile duct (EHBD) cancer and stages I-II pancreatic adenocarcinoma. Patients treated within 3-30, 31-60, and 61-90 days had median survivals of 51.5, 34.9, and 25.4 months (log-rank P<0.001), respectively, for stage I EHBD cancer, and 18.8, 16.6, and 15.2 months for stage I pancreatic cancer, respectively (P<0.001). Factors associated with increased TTI included stage I disease (+13.7 days vs. stage IV, P<0.001), treatment with radiation only (β=+13.9 days, P<0.001), Black race (+4.6 days, P<0.001) and Hispanic ethnicity (+4.3 days, P<0.001).

Conclusions

Some HPB cancer patients with longer time to definitive care experienced higher mortality than patients treated expeditiously, particularly in non-metastatic EHBD cancer. Black and Hispanic patients are at risk for delayed treatment. Further research into these associations is needed.

Impact of Race on Outcomes of Advanced Stage Non-Small Cell Lung Cancer Patients Receiving Immunotherapy

BACKGROUND

The impact of race in advanced stage non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs) is conflicting. Our study sought to examine racial disparities in time to treatment initiation (TTI), overall survival (OS), and progression-free survival (PFS) using a population that was almost equally black and white.

METHODS

This was a retrospective cohort study of stage IV NSCLC patients > 18 years receiving immunotherapy at our center between 2014 and 2021. Kaplan-Meier curves and the multivariate Cox proportional hazards model determined the predictors of OS and PFS. Analyses were undertaken using IBM PSAW (SPSS v.28).

RESULTS

Out of 194 patients who met the inclusion criteria, 42.3% were black (n = 82). In the multivariate analysis, there was no difference in PFS (HR: 0.96; 95% CI: 0.66,1.40; p = 0.846) or OS (HR: 0.99; 95% CI: 0.66, 1.48; p = 0.966). No difference in treatment selection was observed between white and black patients (p = 0.363), nor was there a difference observed in median time to overall treatment initiation (p = 0.201).

CONCLUSIONS

No difference was observed in OS and PFS in black and white patients. Black patients' reception of timelier immunotherapy was an unanticipated finding. Future studies are necessary to better understand how race impacts patient outcomes.

Predictive Factors for Cancer Treatment Delay in a Racially Diverse and Socioeconomically Disadvantaged Urban Population

PURPOSE

Incremental delays in time to treatment initiation (TTI) have been shown to cause a proportional, increased independent risk of disease-specific mortality for breast cancer, colorectal cancer (CRC), head and neck cancer (HNC), non–small-cell lung cancer (NSCLC), and pancreatic cancer. Studies suggest that delays are associated with racial and socioeconomic disparities. We evaluated associations between patient factors and TTI to identify those associated with delay.

MATERIALS AND METHODS

This is a retrospective cohort study at an urban community-based academic center of patients diagnosed with or referred for curative-intent treatment of breast cancer, CRC, HNC, NSCLC, and pancreatic cancer from January 2019 to December 2021. Variables of interest included Charlson Comorbidity Index (CCI) score, insurance type, language preference, and inpatient admission 30 days before diagnosis. Factors associated with TTI delay, defined as TTI ≥ 30 days, were assessed using multivariable logistic regression.

RESULTS

Among 2,543 patients (69% female), the mean age was 63.4 years and the median TTI was 25 days (IQR, 6-44). Within multivariable models, patients treated as outpatient and not admitted 30 days before diagnosis experienced statistically significant greater delay for CRC (odds ratio [OR], 2.82; 95% CI, 1.71 to 4.66) and NSCLC (OR, 2.11; 95% CI, 1.31 to 3.39). Higher CCI score was associated with delay for HNC (OR, 2.63; 95% CI, 1.04 to 6.66) and NSCLC (OR, 1.75; 95% CI, 1.14 to 2.71). For breast cancer, uninsured and Spanish-speaking patients (OR, 1.79; 95% CI, 1.21 to 2.67) experienced increased TTI.

CONCLUSION

Care coordination/compliance (eg, inpatient 30 days before diagnosis), clinical (eg, medical comorbidities), and socioeconomic (eg, uninsured status) predictors for delayed TTI were identified and may inform delay minimizing interventions. Our data support evidence that TTI delays are associated with demographic and socioeconomic disparities. Existing disparities are likely exacerbated by delays that disproportionately affect patients with care coordination/compliance issues, multiple comorbidities, and lower socioeconomic status.

Applying Lean Kaizen to Improve Timely Computed Tomography Scan Appointments for Oncology Patients in a Safety Net Hospital

PURPOSE

Timely radiographic studies are essential to oncology care. At our institution, a safety net hospital in a large metropolitan area, baseline assessment determined that the overwhelming majority of outpatient computed tomographic (CT) scans for oncology patients were overdue and not scheduled within 2 weeks of their first requested date.

METHODS

We conducted a series of structured, interdisciplinary meetings including staff from radiology, oncology, scheduling, and administration to critically review the scheduling process utilizing Lean Kaizen quality improvement methods. A new workflow was developed in which clinic staff scheduled CT scans before clinic discharge. Three months after our initial meeting, the new workflow was launched. We set a target of decreasing the percentage of overdue scans to below 20%.

RESULTS

At baseline, 87% (65 of 75) of CT scans awaiting scheduling were overdue. Data were gathered at 5 and 10 weeks after implementation of our workflow. The percentage of CT scans overdue for scheduling was 17% (9 of 53) at 5 weeks and 0.97% (1 of 103) at 10 weeks after implementation. Clinic visit durations were not affected.

CONCLUSION

The Lean Kaizen QI model was successful in decreasing the rate of oncology patients overdue for CT scan scheduling with minimal effects on clinic visit durations. This study demonstrated the importance of interdepartmental collaboration and continuous monitoring for improvement. Given the success of this project, this workflow will be expanded to other outpatient clinics within our institution.

European Respiratory Society guideline on various aspects of quality in lung cancer care

This European Respiratory Society guideline is dedicated to the provision of good quality recommendations in lung cancer care. All the clinical recommendations contained were based on a comprehensive systematic review and evidence syntheses based on eight PICO (Patients, Intervention, Comparison, Outcomes) questions. The evidence was appraised in compliance with the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Evidence profiles and the GRADE Evidence to Decision frameworks were used to summarise results and to make the decision-making process transparent. A multidisciplinary Task Force panel of lung cancer experts formulated and consented the clinical recommendations following thorough discussions of the systematic review results. In particular, we have made recommendations relating to the following quality improvement measures deemed applicable to routine lung cancer care: 1) avoidance of delay in the diagnostic and therapeutic period, 2) integration of multidisciplinary teams and multidisciplinary consultations, 3) implementation of and adherence to lung cancer guidelines, 4) benefit of higher institutional/individual volume and advanced specialisation in lung cancer surgery and other procedures, 5) need for pathological confirmation of lesions in patients with pulmonary lesions and suspected lung cancer, and histological subtyping and molecular characterisation for actionable targets or response to treatment of confirmed lung cancers, 6) added value of early integration of palliative care teams or specialists, 7) advantage of integrating specific quality improvement measures, and 8) benefit of using patient decision tools. These recommendations should be reconsidered and updated, as appropriate, as new evidence becomes available.

Has the COVID-19 pandemic changed the clinical picture and tumour stage at the time of presentation of patients with colorectal cancer? A retrospective cohort study

Introduction

Treatment of patients with Coronavirus Disease 2019 (COVID-19) has affected the management of patients with colorectal cancer (CRC). The aim of this study was to compare the diagnosis delay, symptoms, and stage of patients with CRC during the pandemic with a control cohort.

Material and methods

Patients referred to the CRC multidisciplinary team between September 2019 and January 2020 (cohort 1, control group) were compared with those who presented between September 2020 and March 2021 (cohort 2, pandemic group).

Results

389 patients were included, 169 in cohort 1 and 220 in cohort 2. No differences were observed in the main characteristics of the patients. CRC screening and anaemia were the most common causes leading to the diagnosis of the tumour in cohort 1 and 2, respectively (p < 0.001). Diagnostic and therapeutic delay was longer in cohort 2 [6.4 (95% CI 5.8-6.9) vs. 4.8 (95% CI 4.3-5.3) months, p < 0.001]. More patients required non-elective treatment in the pandemic cohort (15.5% vs. 9.5%, p = 0.080). The tumour stage was more advanced in patients in cohort 2 [positive nodes in 52.3% vs. 36.7% (p = 0.002), and metastatic disease in 23.6% vs. 16.6% (p = 0.087)].

Conclusion

CRC patients in the pandemic cohort had a longer diagnostic and therapeutic delay and less patients were diagnosed because of CRC screening. In addition, patients with CRC during the pandemic needed non-elective treatment more frequently than patients in the control cohort, and their tumour stage tended to be more advanced.

Has the COVID-19 pandemic changed the clinical picture and tumour stage at the time of presentation of patients with colorectal cancer? A retrospective cohort study

INTRODUCTION

Treatment of patients with Coronavirus Disease 2019 (COVID-19) has affected the management of patients with colorectal cancer (CRC). The aim of this study was to compare the diagnosis delay, symptoms, and stage of patients with CRC during the pandemic with a control cohort.

MATERIAL AND METHODS

Patients referred to the CRC multidisciplinary team between September 2019 and January 2020 (cohort 1, control group) were compared with those who presented between September 2020 and March 2021 (cohort 2, pandemic group).

RESULTS

389 patients were included, 169 in cohort 1 and 220 in cohort 2. No differences were observed in the main characteristics of the patients. CRC screening and anaemia were the most common causes leading to the diagnosis of the tumour in cohort 1 and 2, respectively (p<0.001). Diagnostic and therapeutic delay was longer in cohort 2 [6.4 (95% CI 5.8-6.9) vs. 4.8 (95% CI 4.3-5.3) months, p<0.001]. More patients required non-elective treatment in the pandemic cohort (15.5% vs. 9.5%, p=0.080). The tumour stage was more advanced in patients in cohort 2 [positive nodes in 52.3% vs. 36.7% (p=0.002), and metastatic disease in 23.6% vs. 16.6% (p=0.087)].

CONCLUSION

CRC patients in the pandemic cohort had a longer diagnostic and therapeutic delay and less patients were diagnosed because of CRC screening. In addition, patients with CRC during the pandemic needed non-elective treatment more frequently than patients in the control cohort, and their tumour stage tended to be more advanced.