ArticlemedRxiv : the preprint server for health sciences2026
A Demographic Look at Cancer Treatment Behaviors during the COVID-19 Pandemic.
Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Background: While numerous studies have explored the relationship between COVID-19 and cancer, few have specifically examined the significant impact of the pandemic on cancer patients, particularly concerning their treatments and appointments. Objectives: This study aims to investigate cancer treatment behaviors during the COVID-19 pandemic. Methods: This retrospective quantitative study utilized data from the Centers for Disease Control and Prevention's National Health Interview Survey of 2020. The inclusion criteria were as follows: studies conducted within the United States; patients diagnosed with COVID-19 since the pandemic began; patients diagnosed with cancer within the United States; patients undergoing cancer treatment or in remission since the start of the pandemic; patients who experienced a change, delay, or cancellation of treatment due to the COVID-19 pandemic; patients who experienced a change or delay in cancer care due to the COVID-19 pandemic; patients with a weakened immune system due to prescriptions; and patients who took prescription medication within the past 12 months. The variables were analyzed against population characteristics, including age, race, gender, cancer type, and COVID-19 status. Python Jupyter Notebook (packaged by Anaconda Navigator in R Studio, version 6.4.8), Microsoft Excel for data cleaning and assessment, and SPSS were used for statistical analyses. Results: Chi-Square Analysis (p<.05) revealed significant associations between cancer treatment and gender (p=0.009), other cancer treatments and age (p<.001) and education (p<.001), changes in other cancer treatments and gender (p=0.045), race (p<.001), age (p<.001), and education (p=.013), and prescribed medication and gender (p=.009), family income (p<.001), and age (p<.001). Conclusion: The COVID-19 pandemic has significantly impacted cancer care in the U.S., affecting the delivery of treatments. Additional government funding is necessary to help medical facilities develop programs for off-site treatment delivery, to better prepare for future pandemics, and avoid repeating past challenges.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.