Diagnostic Delay in Adolescents with Cancer During COVID-19 Pandemic: A New Price for Our Patients to Pay

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.

The Effect of COVID-19 on Oncology Care for Adolescents and Young Adults in Latin America

Children with cancer in low- and middle-income countries were disproportionately impacted by the COVID-19 pandemic, but little is known about how adolescents and young adults (AYAs) with cancer were affected. Sixty-seven physicians and nonphysician providers were interviewed about their experiences caring for AYAs with cancer in Latin America. Quotes related to the COVID-19 pandemic were identified and grouped into themes. Barriers from the COVID-19 pandemic included limited space, restrictions on travel, reduced funding, limited staff, limited services, and changes to treatment. However, improvements to care that arose from the COVID-19 pandemic included better access to distance learning and telemedicine.

How Did Adolescents With Cancer Experience the COVID-19 Pandemic? A Report From Italian Pediatric Hematology Oncology Association Centers

PURPOSE

This study set out to evaluate the psychosocial effects of coronavirus disease 2019 (COVID-19) among adolescents with cancer, and whether these effects are significantly different among adolescents who were undergoing therapy or had completed it.

MATERIALS AND METHODS

The AIEOP Adolescents Working Group and the AIEOP Psychosocial Working Group adapted a questionnaire, which was completed by 214 adolescent cancer patients ( Mage =16.3 y, range: 15 to 19 y old) treated at 16 AIEOP centers in the North (38%), South (31%), and Center (31%) of Italy.

RESULTS

The results highlighted that fear of the virus is equally distributed among adolescent cancer patients, with patients being particularly concerned about their parents and families. The adolescents reported that had no difficulty in following individual safety measures: they used personal protective equipment and they were attentive to their own health and adhering to the rules imposed by doctors and the wider community. There are very few, limited differences between adolescents undergoing treatment (active group) and those who have completed treatment (follow-up group). The reminder of their own therapy experience triggered by the use of personal protective equipment, and the more common refusal to follow some restrictions were the only 2 behaviors by which the follow-up group differed significantly from the adolescents in the active group.

CONCLUSIONS

Adolescents with cancer seem to have coped well with the pandemic: although they were very afraid of the virus for themselves and their families, and had to limit their social contact, they did comply with the restrictions. Their experience of cancer probably also had a positive effect in cultivating adolescents who are more responsible and resilient in emergency situations such as the pandemic.

The Impact of COVID-19 on Pediatric Malignancy Diagnosis and Treatment: Never the Same but Lessons Learned

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic affected the pediatric oncology population globally. Over the course of 2 years, increasing reports have been made to better understand this entity and its pathologic complications on these patients. The pandemic has allowed healthcare providers, hospital systems, and leading oncologic societies to quickly adapt and formulate new guidelines for the effective understanding, management, and treatment of patients with pediatric malignancy.

Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006-2020 Health and Retirement Study

BACKGROUND

The coronavirus disease 19 (COVID-19) was declared a global pandemic on 11 March 2020. To date, a limited number of studies have examined the impact of this pandemic on healthcare-seeking behaviors of older populations. This longitudinal study examined personal characteristics linked to COVID-19 outcomes as predictors of self-reported delayed healthcare services attributed to this pandemic, among U.S. adults, ≥50 years of age.

METHODS

Secondary analyses were performed using cross-sectional data (1413 participants) and longitudinal data (2881 participants) from Health and Retirement Study (HRS) (2006-2018) linked to the 2020 HRS COVID-19 Project (57% female, mean age: 68 years). Demographic, socioeconomic, lifestyle and health characteristics were evaluated in relation to delayed overall, surgical and non-surgical healthcare services ("Since March 2020, was there any time when you needed medical or dental care, but delayed getting it, or did not get it at all?" and "What type of care did you delay") using logistic regression and Ensemble machine learning for cross-sectional data as well as mixed-effects logistic modeling for longitudinal data.

RESULTS

Nearly 32.7% delayed healthcare services, 5.8% delayed surgical services and 31.4% delayed non-surgical services. Being female, having a college degree or higher and 1-unit increase in depression score were key predictors of delayed healthcare services. In fully adjusted logistic models, a history of 1 or 2 cardiovascular and/or metabolic conditions (vs. none) was associated with 60-70% greater odds of delays in non-surgical services, with distinct findings for histories of hypertension, cardiovascular disease, diabetes and stroke. Ensemble machine learning predicted surgical better than overall and non-surgical healthcare delays.

CONCLUSION

Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.