Changes in cancer diagnoses and stage distribution during the first year of the COVID-19 pandemic in the USA: a cross-sectional nationwide assessment

Exploring the changing landscape of medical imaging: insights from highly cited studies before and during the COVID-19 pandemic

OBJECTIVES

To investigate whether and how the COVID-19 pandemic has changed medical imaging trends by synthesizing the highly cited studies before and during the pandemic.

METHODS

In this cross-sectional study, we identified highly cited studies on medical imaging from the essential science indicators (ESI) database, categorizing them into two periods: before the pandemic (January 2016-December 2019) and during the pandemic (January 2020-December 2023). We conducted a global research landscape comparative analysis and utilized CiteSpace and VOSviewer software to create knowledge maps for analyzing the co-occurrences of keywords and references in this field.

RESULTS

A total of 2914 highly cited studies were included in this study, which revealed a notable 30.1% increase in medical imaging publications during the pandemic. Enhanced international cooperation has been observed, with European countries and the US leading the research efforts. Keyword analysis revealed that artificial intelligence (AI) has remained a dominant hotspot in medical imaging research before and during the pandemic. References analysis showed a shift in focus towards COVID-19-related studies, overshadowing some important areas including cancer imaging, cardiac imaging, and neuroimaging.

CONCLUSIONS

Over the past four years, the COVID-19 pandemic has led to changes in the research output, international collaborations, and hotspots within highly cited medical imaging studies. Navigating the post-COVID era, it is imperative to continue fostering international collaboration, prioritize resource allocation to refocus on overlooked research areas, and develop long-term strategic plans to prepare for and mitigate the impact of future public health crises.

KEY POINTS

Question Understanding how the COVID-19 pandemic has changed medical imaging trends and priorities, which is crucial for preparing against future public health crises, remains unclear. Findings The COVID-19 pandemic has led to increases in highly cited medical imaging studies, enhancements in international collaborations, and shifts in research hotspots. Clinical relevance This study provides a comprehensive overview of highly cited studies on medical imaging before and during the pandemic, highlighting the pivotal role of AI in the post-COVID era and emphasizing the need to refocus on potentially neglected research areas.

Impact of the COVID-19 Pandemic on Gut Cancer Admissions and Management: A Comparative Study of Two Pandemic Years to a Similar Pre-Pandemic Period

Background/Objective: Gastrointestinal tract cancers may have been severely affected by the COVID-19 pandemic. The limitations of digestive endoscopy, the fear effect, and restrictions on hospital admissions during the pandemic may have delayed the presentation of patients to hospitals and surgical procedures and may have impacted overall survival. Methods: We conducted an observational, cross-sectional study of esophageal, gastric, small bowel, and colorectal cancer patients admitted to our hospital between 1 January 2018 and 31 December 2021. We analyzed the hospitalization rates, pathological type, the onset by complications, staging, and surgery during the pandemic compared to a pre-pandemic period (January 2018-December 2019). Results: During 2018-2021, 1613 patients with malignant gut tumors were admitted to our hospital (112 esophageal and eso-cardial tumors, 419 gastric tumors, 34 small bowel tumors, and 1058 colorectal tumors). Admission was reduced by 30.3% for esophageal and eso-cardial malignant tumors, 27.6% for gastric tumors, and 17.3% for malignant colorectal tumors. For esophageal and eso-cardial tumors, a higher frequency of stenosing tumors and palliative gastrostomies was noted. More stage III gastric cancers and a lower rate of vascular invasion were recorded during the pandemic. No differences regarding small bowel tumors were noted. In colorectal tumors, slightly more stage II cancers and more stenosing tumors were recorded, but occlusive, bleeding, and perforated tumors were similar; also, surgical rates were similar, with a two-fold higher perioperative mortality. The overall survival of gastric and colorectal carcinoma was higher during the pandemic (but with no statistical significance), although a clear explanation has not emerged. Conclusions: The impact of the COVID-19 pandemic on gut cancer included a significantly lower rate of newly diagnosed admissions, more stage II colorectal and stage III gastric carcinomas, a two-fold higher perioperative mortality for colorectal carcinoma, and a trend for a surprisingly higher overall survival for gastric and colorectal tumors (but without statistical significance). Future research is necessary for assessing long-term impact.

Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo

Cancer is a major global health challenge, accounting for nearly one in six deaths worldwide. Early diagnosis significantly improves survival rates and patient outcomes, yet in resource-limited settings, the scarcity of medical resources often leads to late-stage diagnosis. Integrating artificial intelligence (AI) with smartphone-based imaging systems offers a promising solution by providing portable, cost-effective, and widely accessible tools for early cancer detection. This paper introduces advanced smartphone-based imaging systems that utilize various imaging modalities for in vivo detection of different cancer types and highlights the advancements of AI for in vivo cancer detection in smartphone-based imaging. However, these compact smartphone systems face challenges like low imaging quality and restricted computing power. The use of advanced AI algorithms to address the optical and computational limitations of smartphone-based imaging systems provides promising solutions. AI-based cancer detection also faces challenges. Transparency and reliability are critical factors in gaining the trust and acceptance of AI algorithms for clinical application, explainable and uncertainty-aware AI breaks the black box and will shape the future AI development in early cancer detection. The challenges and solutions for improving AI accuracy, transparency, and reliability are general issues in AI applications, the AI technologies, limitations, and potentials discussed in this paper are applicable to a wide range of biomedical imaging diagnostics beyond smartphones or cancer-specific applications. Smartphone-based multimodal imaging systems and deep learning algorithms for multimodal data analysis are also growing trends, as this approach can provide comprehensive information about the tissue being examined. Future opportunities and perspectives of AI-integrated smartphone imaging systems will be to make cutting-edge diagnostic tools more affordable and accessible, ultimately enabling early cancer detection for a broader population.

Impact of COVID-19 on 2021 cancer incidence rates and potential rebound from 2020 decline

The COVID-19 pandemic led to substantial declines in cancer incidence rates in 2020, likely because of disruptions in screening and diagnostic services. This study aimed to assess the impact of the pandemic on cancer incidence rates in the United States using 2021 incidence data from the Surveillance, Epidemiology, and End Results program. The analysis compared observed 2021 cancer incidence rates with expected prepandemic trends, evaluating changes by individual cancer site and stage. Although incidence overall and in many cancer sites the rates were close to prepandemic levels, they did not exhibit a recovery that incorporated the delayed diagnoses from 2020. There were exceptions, however, such as metastatic breast cancer, which showed significantly higher observed rates than expected (rate ratio = 1.09, 95% confidence interval = 1.04 to 1.13). Ongoing monitoring and targeted interventions are needed to address the long-term consequences of the COVID-19 pandemic on cancer care and outcomes.

Plasmon-Driven Gold Nanopillar Multiarrayed Gene Amplification Methodology for the High-Throughput Discrimination of Pathogens

Molecular diagnosis limitations, including complex treatment processes, low cost-effectiveness, and operator-dependent low reproducibility, interrupt the timely prevention of disease spread and the development of medical devices for home and outdoor uses. A newly fabricated gold nanopillar array-based film is presented for superior photothermal energy conversion. Magnifying the metal film surface-to-volume ratio increases the photothermal energy conversion efficiency, resulting in a swift reduction in the gene amplification reaction time. Plasmonic energy-based ultrafast gene amplification and facile confirmation methodology offer a rapid disease discrimination platform for high-throughput multiplexed diagnosis. The superior performance of the gold nanopillar arrayed film is demonstrated by measuring the amount of pathogen (Vibrio cholerae) with a sensitivity of 101 cfu mL-1 in 5.5 min. The newly engineered gold nanopillar arrayed film can be utilized to diagnose universal pathogens to achieve an increasingly successful complete cure.

Effect of the COVID-19 pandemic and lockdown on cancer stage distribution and time to treatment initiation using cancer registry data of the Swiss cantons of Zurich and Zug from 2018 to 2021

PURPOSE

Swiss healthcare institutions conducted only urgent procedures during the COVID-19 lockdown, potentially leading to a lack of care for other severe diseases, such as cancer. We examined the effects of the pandemic on cancer stage distribution and time between cancer diagnosis and treatment initiation using population-based cancer registry data.

METHODS

The study was based on data of the cancer registry of the cantons of Zurich and Zug from 2018 to 2021. Cancer stage distribution was analysed descriptively and with a Pearson's Chi-squared test. Time between cancer diagnosis and treatment initiation was determined in days and analysed descriptively and by fitting Quasipoisson regression models.

RESULTS

For all-cancer and colorectal, lung, and prostate cancer statistically significant evidence for a difference in cancer stages distribution among the incidence years was observed. Based on the all-cancer regression models, longer time to treatment initiation (TTI) was observed for patients diagnosed in 2021 and receiving surgery (Rate Ratio = 1.08 [95% confidence interval 1.03, 1.14]) or hormone therapy (1.20 [1.03, 1.40]) compared to those diagnosed in 2018/19 receiving those therapies. We observed no difference in TTI between cancer patients diagnosed in 2020 compared to 2018/19 for any of the therapies investigated, except for chemotherapy with shorter TTI (0.92 [0.86, 0.98]).

CONCLUSION

The observed effects on cancer outcomes in 2020 and 2021 compared to 2018/19 coincided with the beginning of the COVID-19 pandemic in Switzerland in 2020 onwards. Short- and long-term effects of the pandemic on cancer outcomes and the public healthcare system were observed. However, we cannot exclude that the implementation of the new Swiss law on cancer registration in 2020 explains part of our observations.

Changes in cancer incidence and stage during the COVID-19 pandemic in 2020-2021 in the Nordic countries

BACKGROUND AND PURPOSE

The COVID-19 pandemic impacted substantially on cancer healthcare, including the temporary suspension of screening activities. We compared cancer incidence rates and stage during 2020-2021 to pre-pandemic rates in the Nordic countries.

MATERIAL AND METHODS

Using data from the national cancer registries in Denmark, Finland, Iceland, Norway, and Sweden, we estimated age-, sex-, and period-adjusted incidence rate ratios, expressed as relative percentage change (%) with 95% confidence intervals (CIs), comparing rates in 2020-2021 to those in 2017-2019 (pre-pandemic).

RESULTS

In 2020-2021, 340,675 cancer cases were diagnosed. The incidence rates declined during the first pandemic wave (Q2 2020), ranging from -21.7% [95% CI: -23.3%; -20.2%] (Sweden) to -7.9% [-17.7%; 3.0%] (Iceland). Incidence rates also declined in the second pandemic wave (Q1 2021), ranging from -8.6% [-10.2%; -6.9%] (Sweden) to -2.3% [-4.6%; 0.1%] (Norway), and in Sweden also by -3.1% [-4.8%; -1.3%] in the third pandemic wave (Q4 2021). Stage I breast cancer incidence declined during 2020 in Denmark/Norway/Sweden, with some catch-up in stage II incidence in 2021. Prostate cancer rates declined in Denmark/Finland/Norway/Sweden during 2020-2021, while melanoma rates declined in Finland in 2020. During 2020, colon cancer rates declined in Denmark and Iceland, while rectal cancer rates declined in Denmark, and lung and kidney cancer rates declined in Norway.

INTERPRETATION

During 2020-2021, cancer incidence rates declined across the Nordic countries with the largest declines in Sweden. During the third pandemic wave, the incidence rates were mostly similar to pre-pandemic rates. Changes in cancer stage may reflect reduced screening activities.

Changes in Breast Cancer Screening Prevalence in the United States during the COVID-19 Pandemic, 2018 to 2022

BACKGROUND

Annual mammography screening declined year-on-year during the COVID-19 pandemic through 2021. This study examined changes in 2022 compared with 2018 in the national prevalence of self-reported up-to-date mammography.

METHODS

Using 2018 to 2022 data from the Center for Disease Control and Prevention's Behavioral Risk Factor Surveillance System, we assess relative changes defined as annual prevalence ratios (aPR) in the SR receipt of past-year and up-to-date (UTD) breast cancer screening (biannual mammography in women of ages 50-74 years) during the third year of the COVID-19 pandemic overall and by sociodemographic characteristics.

RESULTS

UTD breast cancer screening declined for the first time since 2018 [2018 compared with 2022, from 78.7%-76.6%; aPR, 0.97; 95% confidence interval (CI), 0.96-0.98] despite a small increase in past-year breast cancer screening from 2020 to 2022 (57.9%-59.6%; aPR, 1.03; 95% CI, 1.01-1.05). This translated to 747,791 fewer women reporting UTD with recommended breast cancer screening in 2022 versus 2018. UTD breast cancer screening declines between 2018 and 2022 were largest for American Indian/Alaska Native women (74.8%-62.2%; aPR, 0.83; 95% CI, 0.74-0.93), women with less formal educational attainment (< high school: 73.1%-65.5%; aPR, 0.9; 95% CI, 0.85-0.95), and women without a usual source of care (48%-42.9%; aPR, 0.85; 95% CI, 0.78-0.92).

CONCLUSIONS

Previously noted pandemic-related declines in past-year breast cancer screening now reflect in women reporting being UTD, with the largest declines in American Indian/Alaska Native women and those with lower socioeconomic status.

IMPACT

Future studies should monitor screening prevalence in relation to breast cancer diagnostic stage overall and by sociodemographic groups.

Disparities in Cancer Stage Shifts Associated with the COVID-19 Pandemic in California, 2020 to 2021

BACKGROUND

The COVID-19 pandemic and associated shutdowns disrupted healthcare access and resulted in decreased cancer screenings. Cancer diagnosis delays have concerning downstream effects on late-stage cancer, especially for marginalized populations.

METHODS

The study population included 349,458 adults in the California Cancer Registry diagnosed with cancer between January 2019 and December 2021, during which California experienced two stay-at-home orders. We examined the percentage of late-stage (III-IV) cancer diagnoses across five periods: Pre-pandemic (January 2019-February 2020), Shutdown #1 (March-June 2020), Post-shutdown #1 (July-November 2020), Post-shutdown #2 (December 2020-March 2021), and Post-vaccine rollout (April-December 2021). To examine the association between time period and late-stage diagnoses, we conducted a multivariable log-binomial regression model adjusted for sociodemographic and neighborhood factors.

RESULTS

The percentage of late-stage cancer diagnoses increased during Shutdown #1 (+5.2%) and returned to baseline Post-vaccine rollout. Groups with notably higher increases in the percentage of late-stage cancer (vs. overall population) during Shutdown #1 include Pacific Islander (+13.7%), Thai (+11.2%), Chinese (+8.1%), Native Hawaiian (+7.4%), Filipino (+6.6%), and uninsured (+7.4%). Uninsured [vs. private insurance; prevalence ratio (PR), 1.41], low neighborhood socioeconomic status (nSES; vs. high; PR, 1.19), and racial and ethnic minoritized groups (vs. non-Hispanic White; PR, 1.04-1.19) had higher likelihood for late-stage cancer diagnosis.

CONCLUSIONS

The pandemic exacerbated late-stage cancer disparities for racial and ethnic minoritized groups, underinsured, and low nSES communities in California (2020-2021).

IMPACT

Interventions to improve cancer screening must be focused on racial and ethnic minoritized, underinsured, and low nSES communities, as they are likely to be more vulnerable to healthcare disruptions like the pandemic.

Retrospective Impact of COVID-19 Pandemic on Primary Breast Cancer Care

Background

The COVID-19 pandemic has transformed breast cancer care for patients and healthcare providers. Circumstances varied greatly by region and hospital, depending on COVID-19 prevalence, case mix, hospital type, and available resources. These challenges have disrupted screening programs and have been particularly distressing for both women with a breast cancer diagnosis and their providers.

Summary

This review explores the retrospective impact of the COVID-19 pandemic on primary breast cancer care. It analyzes changes in screening participation, diagnosis rates, treatment modalities, and the delivery of psycho-oncological support during the pandemic. The study found a significant reduction in breast cancer screenings and a subsequent stage shift in diagnoses, with fewer early-stage and more advanced-stage cancers being detected. Additionally, the review discusses the psychosocial challenges faced by patients and the adaptations made in care delivery, such as the increased use of telemedicine. Despite these challenges, the healthcare systems showed resilience, with core treatment services largely maintained and rapid adaptations to new care models.

Key Messages

There was a marked decrease in breast cancer screenings and early diagnoses during the pandemic, with a shift toward more advanced-stage detections. While there was an increased use of neoadjuvant therapies and telemedicine, essential breast cancer treatments were mostly sustained, reflecting the resilience of healthcare systems. The pandemic significantly impacted the mental health of breast cancer patients, exacerbating anxiety and depression and highlighting the need for improved psycho-oncological support. The full impact of these disruptions on long-term breast cancer outcomes remains uncertain, necessitating ongoing monitoring and adaptation of care strategies to mitigate adverse effects.

Trends in Cancer Incidence and Mortality in US Adolescents and Young Adults, 2016-2021

(1) Background: The incidence rate of early onset-cancer (<50) has increased since 1995. Among younger people, cancers in AYAs (aged 15-39 y) are often biologically distinct tumors from those treated in the pediatric and older adult population. The current study describes trends in the United States for the most recent years including the first year of the COVID-19 epidemic. We aimed to describe the recent incidence and mortality trends of cancers in AYAs (aged 15-39 y). (2) Methods: We used data from the Surveillance, Epidemiology, and End Results (SEER 22) from 1 January 2016 to 31 December 2021. Age-adjusted incidence and mortality rates were assessed by SEER*Stat 8.4.3 for major cancer types by sex, race/ethnicity, age, and metropolitan/nonmetropolitan status. Time trends of age-adjusted incidence and mortality rates were examined by sex and metropolitan/nonmetropolitan status. (3) Results: Age-adjusted overall cancer incidence and mortality rates were stable during this study period. The age-adjusted incidence rates declined significantly for ependymoma, melanoma, carcinomas of lung, bronchus, and trachea, unspecified malignant neoplasms, and non-Hodgkin's lymphoma. Significant increases were found for gastrointestinal tract cancers and non-Kaposi sarcomas. The age-adjusted mortality rate decreased for acute myeloid leukemia, melanoma, carcinomas of liver and intrahepatic bile ducts, kidney and, in women, leukemia. For some cancers, rates differed by sex, race, ethnicity, and geography. Monitoring the rates and time trends of AYA cancer emphasizes the distinct health concern for this age group.

COVID-19 and Rates of Cancer Diagnosis in the US

Importance

US cancer diagnoses were substantially lower than expected during the COVID-19 pandemic in 2020. A national study on the extent to which rates recovered in 2021 has not yet been conducted.

Objective

To examine observed vs expected cancer rate trends for January 2020 to December 2021.

Design, Setting, and Participants

This cross-sectional, population-based study of cancer incidence trends used the Surveillance, Epidemiology, and End Results 22 (SEER-22) Registries Database, which covers 47.9% of the US population. Included individuals were those with an invasive cancer diagnosis reported to registries included in SEER-22 between January 1, 2000, and December 31, 2021.

Exposures

Age, sex, race and ethnicity, urbanicity, and stage at diagnosis.

Main Outcomes and Measures

Expected cancer incidence rates were measured for the COVID-19 pandemic years of 2020 and 2021 from prepandemic trends using ensemble forecasting methods. Relative difference between observed and expected cancer incidence rates and numbers of potentially missed cases were measured.

Results

The SEER-22 registries reported 1 578 697 cancer cases in 2020 and 2021, including 798 765 among male individuals (50.6%) and 909 654 among persons aged 65 years or older (57.6%). Observed all-sites cancer incidence rates were lower than expected by 9.4% in 2020 (95% prediction interval [PI], 8.5%-10.5%), lower than expected by 2.7% in 2021 (95% PI, 1.4%-3.9%), and lower than expected by 6.0% across both years combined (95% PI, 5.1%-7.1%), resulting in 149 577 potentially undiagnosed cancer cases (95% PI, 126 059-176 970). Of the 4 screening-detected cancers, only female breast cancer showed significant recovery in 2021, exceeding expected rates by 2.5% (95% PI, 0.1%-4.8%), while significant reductions remained for lung cancer (9.1% lower than expected; 95% PI, 6.4%-13.2%) and cervical cancer (4.5% lower than expected; 95% PI, 0.4%-8.0%), particularly for early stage at diagnosis. Rates of all-sites cancer incidence returned to prepandemic trends in 2021 among female individuals, persons aged younger than 65 years, and persons of non-Hispanic Asian and Pacific Islander race and ethnicity.

Conclusions and Relevance

This population-based cross-sectional study of US cancer incidence trends found that rates of diagnosis improved in 2021 but continued to be lower than expected, adding to the existing deficit of diagnosed cases from 2020. Particular attention should be directed at strategies to immediately increase cancer screenings to make up lost ground.

Deceptive Measures of "Success" in Early Cancer Detection

Early detection of cancer is considered a cornerstone of preventive medicine and is widely perceived as the gateway to reducing cancer deaths. Based on this assumption, large trials are currently underway to evaluate the accuracy of early detection tests. It is imperative, therefore, to set meaningful "success criteria" in early detection that reflect true improvements in health outcomes. This article discusses the pitfalls of measuring the success of early detection tests for cancer, particularly in the context of screening programs, and provides illustrative examples that demonstrate how commonly used metrics can be deceptive. Early detection can result in downstaging (favourable stage shift) when more early-stage cancers are diagnosed, even without reducing late-stage disease, potentially leading to overdiagnosis and overtreatment. Survival statistics, primarily cancer-specific survival, can be misleading due to lead time, where early detection simply extends the known duration of the disease without prolonging actual lifespan or improving overall survival. Additionally, the misuse of relative measures, such as proportions, ratios, and percentages, often make it impossible to ascertain the true benefit of a procedure and can distort the impact of screening as they are influenced by diagnostic practices, misleadingly improving perceived mortality reductions. Understanding these biases is crucial for accurately assessing the effectiveness of cancer detection methods and ensuring appropriate patient care.

Disentangling the relationship between cancer mortality and COVID-19 in the US

Cancer is considered a risk factor for COVID-19 mortality, yet several countries have reported that deaths with a primary code of cancer remained within historic levels during the COVID-19 pandemic. Here, we further elucidate the relationship between cancer mortality and COVID-19 on a population level in the US. We compared pandemic-related mortality patterns from underlying and multiple cause (MC) death data for six types of cancer, diabetes, and Alzheimer's. Any pandemic-related changes in coding practices should be eliminated by study of MC data. Nationally in 2020, MC cancer mortality rose by only 3% over a pre-pandemic baseline, corresponding to ~13,600 excess deaths. Mortality elevation was measurably higher for less deadly cancers (breast, colorectal, and hematological, 2-7%) than cancers with a poor survival rate (lung and pancreatic, 0-1%). In comparison, there was substantial elevation in MC deaths from diabetes (37%) and Alzheimer's (19%). To understand these differences, we simulated the expected excess mortality for each condition using COVID-19 attack rates, life expectancy, population size, and mean age of individuals living with each condition. We find that the observed mortality differences are primarily explained by differences in life expectancy, with the risk of death from deadly cancers outcompeting the risk of death from COVID-19.

Impact of the COVID-19 Pandemic on Tumor Stage and Pathohistological Parameters of Vulvar Cancer

Background/Objectives: Vulvar cancer (VC) comprises a small fraction of female neoplasms with notable high-incidence clusters among German regions. Despite a proposed impact of nationwide lockdowns in response to the COVID-19 pandemic on oncological diseases, the effect on VC staging and tumor characteristics remains yet to be resolved; therefore, analyzing pathological data from patients with squamous cell VC pre-, during, and post-COVID in a high-incidence region may offer insights into potential epidemiological and clinical trends. Methods: We identified a total of 90 patients who were diagnosed at the Institute of Pathology, University Hospital Saarland, between 2018 and 2023, and defined three distinct cohorts: a pre-COVID cohort (2018-2019), a COVID cohort (2020-2021), and a post-COVID cohort (2022-2023). Histomorphological data were collected from the individual patient reports and statistically analyzed using Fisher's exact test or the Kruskal-Wallis test. Results: Although we found no statistically significant differences in age, T-stage, perineural infiltration, blood vessel infiltration, resection status, grading, or resection margin between our three cohorts, surprisingly, we determined a greater extent of lymphovascular infiltration (Fisher's exact test; p = 0.041), as well as deeper tumor infiltration depth (Kruskal-Wallis test; p < 0.001) before the COVID-19 pandemic. Furthermore, we did not identify any soft indications of abnormalities in patient care within our center (unchanged status of the resection margins across all three cohorts). Conclusions: Our results clearly do not support a negative affection of clinical or pathobiological characteristics of VC during or after the pandemic. However, final assessments regarding the pandemic's effect on VC require additional study approaches in various regions, preferably with future extended timeframes of a longer follow-up.

Laryngeal cancer incidence trends in the United States over 2000-2020: a population-based analysis

INTRODUCTION

Laryngeal cancers account for one-third of all head and neck cancers. We aimed to report the incidence trends of laryngeal cancer over 2000-2020 in the United States (US), by age, sex, race/ethnicity, and histological subtypes.

METHODS

Data from the Surveillance, Epidemiology, and End Results 22 database were used to identify patients with laryngeal cancer based on the International Classification of Diseases for Oncology, version 3. Age-standardized incidence rates (ASIRs) for laryngeal cancer, adjusted for reporting delays, were calculated. The Joinpoint Regression Program was then utilized to determine annual percent changes (APCs) and average annual percent changes (AAPCs) in the trends. The analysis excluded data from 2020 to prevent potential bias related to the COVID-19 pandemic.

RESULTS

A total of 104,991 cases of laryngeal cancer were identified in the US from 2000 to 2019. Squamous cell carcinoma was the predominant subtype, accounting for 94.53% of cases. Above 73.20% occurred among non-Hispanic whites, with the highest incidence observed among individuals aged 55-69 years (46.71%). The ASIRs were 5.98 and 1.25 per 100,000 population for men and women, respectively. Over 2000-2019, there was a significant reduction in ASIRs for laryngeal cancer in both sexes. Non-Hispanic black men exhibited the highest ASIR (9.13 per 100,000) and the largest decline in the ASIRs over 2000-2019 (AAPC: -3.26%).

CONCLUSIONS

Laryngeal cancer incidence rates showed a decline from 2000 to 2019, in addition to 2020, during the COVID-19 pandemic. Additional research is required to investigate risk factors and their influence on incidence rates of laryngeal cancer.

Preventive Service Usage and New Chronic Disease Diagnoses: Using PCORnet Data to Identify Emerging Trends, United States, 2018-2022

Background

Data modernization efforts to strengthen surveillance capacity could help assess trends in use of preventive services and diagnoses of new chronic disease during the COVID-19 pandemic, which broadly disrupted health care access.

Methods

This cross-sectional study examined electronic health record data from US adults aged 21 to 79 years in a large national research network (PCORnet), to describe use of 8 preventive health services (N = 30,783,825 patients) and new diagnoses of 9 chronic diseases (N = 31,588,222 patients) during 2018 through 2022. Joinpoint regression assessed significant trends, and health debt was calculated comparing 2020 through 2022 volume to prepandemic (2018 and 2019) levels.

Results

From 2018 to 2022, use of some preventive services increased (hemoglobin A1c and lung computed tomography, both P < .05), others remained consistent (lipid testing, wellness visits, mammograms, Papanicolaou tests or human papillomavirus tests, stool-based screening), and colonoscopies or sigmoidoscopies declined (P < .01). Annual new chronic disease diagnoses were mostly stable (6% hypertension; 4% to 5% cholesterol; 4% diabetes; 1% colonic adenoma; 0.1% colorectal cancer; among women, 0.5% breast cancer), although some declined (lung cancer, cervical intraepithelial neoplasia or carcinoma in situ, cervical cancer, all P < .05). The pandemic resulted in health debt, because use of most preventive services and new diagnoses of chronic disease were less than expected during 2020; these partially rebounded in subsequent years. Colorectal screening and colonic adenoma detection by age group aligned with screening recommendation age changes during this period.

Conclusion

Among over 30 million patients receiving care during 2018 through 2022, use of preventive services and new diagnoses of chronic disease declined in 2020 and then rebounded, with some remaining health debt. These data highlight opportunities to augment traditional surveillance with EHR-based data.

Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study

BACKGROUND

Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level.

OBJECTIVE

To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic.

METHODS

We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic.

RESULTS

Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. <50) had only a small, non-significant effect on times to treatment. Longer delays were associated with factors other than the COVID-19 pandemic.

CONCLUSION

We found evidence of no direct impact of the pandemic on the actual delay to treatment among patients with localized BC.

Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center

BACKGROUND

Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup.

METHODS

We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression.

RESULTS

Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern.

CONCLUSIONS

These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

Site-specific patterns of early-stage cancer diagnosis during the COVID-19 pandemic

The COVID-19 pandemic caused widespread disruptions in cancer care. We hypothesized that the greatest disruptions in diagnosis occurred in screen-detected cancers. We identified patients (≥18 years of age) with newly diagnosed cancer from 2019 to 2020 in the US National Cancer Database and calculated the change in proportion of early-stage to late-stage cancers using a weighted linear regression. Disruptions in early-stage diagnosis were greater than in late-stage diagnosis (17% vs 12.5%). Melanoma demonstrated the greatest relative decrease in early-stage vs late-stage diagnosis (22.9% vs 9.2%), whereas the decrease was similar for pancreatic cancer. Compared with breast cancer, cervical, melanoma, prostate, colorectal, and lung cancers showed the greatest disruptions in early-stage diagnosis. Uninsured patients experienced greater disruptions than privately insured patients. Disruptions in cancer diagnosis in 2020 had a larger impact on early-stage disease, particularly screen-detected cancers. Our study supports emerging evidence that primary care visits may play a critical role in early melanoma detection.

The Diagnostic Performance of Fecal Immunochemical Tests for Detecting Advanced Neoplasia at Surveillance Colonoscopy

BACKGROUND & AIMS

An increasing burden on health care resources has resulted in a backlog of individuals requiring colonoscopy, with delays in surveillance possibly detrimental for individuals at increased risk of colorectal cancer (CRC). This study investigated the use of a 2-sample fecal immunochemical test (FIT) to establish those most likely to have advanced neoplasia (AN) and in need of prioritized surveillance colonoscopy.

METHODS

This was a prospective study conducted in the tertiary care setting. Participants completed a 2-sample FIT (OC-Sensor, Eiken Chemical Company) within 90 days of surveillance colonoscopy. The sensitivity of FIT for detection of AN (CRC or advanced adenoma) in moderate- and high-risk individuals was determined at fecal hemoglobin thresholds between 2 and 80 μg/g feces.

RESULTS

A total of 766 patients were included (median age, 66.1 years [interquartile range, 58.1-72.9]; 49.9% male), with AN detected in 8.6% (66/766, including 5 CRC). For moderate-risk individuals (with prior history of adenoma or a significant family history of CRC), sensitivity of FIT for AN ranged from 73.5% at 2 μg/g feces, to 10.2% at 80 μg/g feces. For high-risk conditions (confirmed/suspected genetic syndromes or prior CRC), sensitivity of FIT was similar, ranging from 70.6% at the lowest positivity threshold of 2 μg/g feces, to 11.8% at 80 μg/g feces. Independent variables in the whole cohort for association with detection of AN at surveillance colonoscopy were age (odds ratio, 1.03; 95% confidence interval, 1.00-1.06) and FIT hemoglobin result ≥10 μg/g feces (odds ratio, 1.81; 95% confidence interval, 1.04-3.16).

CONCLUSIONS

The use of FIT before surveillance colonoscopy provides clinicians with insights into the risk of AN. This raises the possibility of a method to triage individuals, facilitating the more efficient management of endoscopic resources.

Impact of plasma Epstein-Barr virus DNA in posttreatment nasopharyngeal carcinoma patients after SARS-CoV-2 infection

BACKGROUND

Nasopharyngeal carcinoma (NPC) is prevalent in southern China. EBV DNA is the most useful biomarker in NPC. However, the value of EBV DNA in posttreatment NPC patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains unclear.

METHODS

Sixty-four eligible NPC patients were enrolled between December 2022 and February 2023. Patients who met the following criteria were included: had non-metastatic NPC, completed radical treatment, were first firstly infected with SARS-CoV-2 and their EBV DNA changed from undetectable to detectable.

RESULTS

At the end of follow-up, 81.25% (52/64) of patients were confirmed not to relapse with undetectable EBV DNA (no-relapse). In addition, 18.75% (12/64) of patients experienced relapse with consistent detection of EBV DNA (yes-relapse). For all 64 patients, the average time from diagnosis of coronavirus disease 2019 (COVID-19) to detection of detectable EBV DNA was 35.41 days (2 to 139 days). For 52 no-relapse patients, the average time from EBV DNA changing from detectable to undetectable was 63.12 days (6 to 147 days). The levels of EBV DNA were greater in yes-relapse patients than that in no-relapse patients, and the average of EBV DNA levels were 1216 copies/ml and 53.18 copies/ml, respectively. Using 62.3 copies/mL as the threshold, the area under the curve for EBV DNA was 0.88 for distinguishing yes-relapse patients from no-relapse patients. The sensitivity and specificity were 81.97% (95% CI 0.71-0.95) and 86.67% (95% CI 0.70-0.95), respectively.

CONCLUSION

For NPC patients infected with SARS-CoV-2, EBV DNA alone is insufficient for monitoring relapse after radical therapy. Long-term follow-up and underlying mechanistic investigations of EBV DNA changes are urgently needed.

Disparities in COVID-19 mortality amongst the immunosuppressed: A systematic review and meta-analysis for enhanced disease surveillance

BACKGROUND

Effective disease surveillance, including that for COVID-19, is compromised without a standardised method for categorising the immunosuppressed as a clinical risk group.

METHODS

We conducted a systematic review and meta-analysis to evaluate whether excess COVID-associated mortality compared to the immunocompetent could meaningfully subdivide the immunosuppressed. Our study adhered to UK Immunisation against infectious disease (Green Book) criteria for defining and categorising immunosuppression. Using OVID (EMBASE, MEDLINE, Transplant Library, and Global Health), PubMed, and Google Scholar, we examined relevant literature between the entirety of 2020 and 2022. We selected for cohort studies that provided mortality data for immunosuppressed subgroups and immunocompetent comparators. Meta-analyses, grey literature and any original works that failed to provide comparator data or reported all-cause or paediatric outcomes were excluded. Odds Ratios (OR) and 95% confidence intervals (CI) of COVID-19 mortality were meta-analysed by immunosuppressed category and subcategory. Subgroup analyses differentiated estimates by effect measure, country income, study setting, level of adjustment, use of matching and publication year. Study screening, extraction and bias assessment were performed blinded and independently by two researchers; conflicts were resolved with the oversight of a third researcher. PROSPERO registration number is CRD42022360755.

FINDINGS

We identified 99 unique studies, incorporating data from 1,542,097 and 56,248,181 unique immunosuppressed and immunocompetent patients with COVID-19 infection, respectively. Compared to immunocompetent people (pooled OR, 95%CI), solid organ transplants (2.12, 1.50-2.99) and malignancy (2.02, 1.69-2.42) patients had a very high risk of COVID-19 mortality. Patients with rheumatological conditions (1.28, 1.13-1.45) and HIV (1.20, 1.05-1.36) had just slightly higher risks than the immunocompetent baseline. Case type, setting income and mortality data matching and adjustment were significant modifiers of excess immunosuppressed mortality for some immunosuppressed subgroups.

INTERPRETATION

Excess COVID-associated mortality among the immunosuppressed compared to the immunocompetent was seen to vary significantly across subgroups. This novel means of subdivision has prospective benefit for targeting patient triage, shielding and vaccination policies during periods of high disease transmission.

Impact of the COVID-19 Pandemic on the Diagnosis and Management of Non-Melanoma Skin Cancer in the Head and Neck Region: A Retrospective Cohort Study

The present study investigates the impact of the COVID-19 pandemic on the management of Non-Melanoma Skin Cancer (NMSC) in the head and neck region. Conducted at the University Hospital "Le Scotte" in Siena, Italy, the research includes 111 patients treated from 2018 to 2021. The study aims to understand how pandemic-related healthcare changes affected NMSC treatment, focusing on differences in diagnosis and management before and during the pandemic. Methods involved retrospective analysis of patient demographics, clinical characteristics, lesion details, and treatment modalities, using Jamovi software (version 1.6) for statistical analysis. Results revealed the scalp as the most common NMSC site, with Squamous Cell Carcinoma (SCC) being the predominant histotype. A significant rise in Basal Cell Carcinoma (BCC) cases and a reduction in surgery duration were noted during the pandemic. The shift to local anesthesia was more pronounced, reflecting the necessity to adapt to healthcare limitations. Despite the disruptions caused by the pandemic, there was no significant drop in NMSC cases, which is attributed to the noticeable nature of head and neck lesions. In conclusion, this study highlights that the COVID-19 pandemic significantly influenced surgical practices in NMSC management, emphasizing the need for effective healthcare strategies that balance quality patient care with public health safety measures.

Lentinan progress in inflammatory diseases and tumor diseases

Shiitake mushrooms are a fungal food that has been recorded in Chinese medicine to nourish the blood and qi. Lentinan (lLNT) is an active substance extracted from shiitake mushrooms with powerful antioxidant, anti-inflammatory, anti-tumor functions. Inflammatory diseases and cancers are the leading causes of death worldwide, posing a serious threat to human life and health and posing enormous challenges to global health systems. There is still a lack of effective treatments for inflammatory diseases and cancer. LNT has been approved as an adjunct to chemotherapy in China and Japan. Studies have shown that LNT plays an important role in the treatment of inflammatory diseases as well as oncological diseases. Moreover, clinical experiments have confirmed that LNT combined with chemotherapy drugs has a significant effect in improving the prognosis of patients, enhancing their immune function and reducing the side effects of chemotherapy in lung cancer, colorectal cancer and gastric cancer. However, the relevant mechanism of action of the LNT signaling pathway in inflammatory diseases and cancer. Therefore, this article reviews the mechanism and clinical research of LNT in inflammatory diseases and tumor diseases in recent years.