Evidence map›Paper›PMID 33253013›Full record

ArticleJCO clinical cancer informatics2020

Impact of COVID-19 on Cancer Care: How the Pandemic Is Delaying Cancer Diagnosis and Treatment for American Seniors.

Debra Patt, Lucio Gordan, Michael Diaz, Ted Okon, Lance Grady, Merrill Harmison, Nathan Markward, Milena Sullivan, Jing Peng, Anan Zhou

Open access · hybridAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 381 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
381citing papers in PubMed, 3 pooled it
39.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

381 citing papers in PubMed, 3 syntheses or guidelines pooled it, 644 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Recruitment strategies for a multisite telehealth trial for rural cancer survivors with ostomies.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  5. Review
  6. Impacts of a Public Health Emergency on Cancer Testing Rates, Follow-up, and Cancer Diagnosis: An Evaluation of the COVID-19 Pandemic.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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  13. Impact of the COVID-19 Pandemic on Inpatient Cancer Treatment and Outcomes in the United States.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026
    Article
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  15. Article
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  17. Anxiety in breast cancer research (1982-2024): a bibliometric analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
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  20. Article

321 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Debra PattTexas Oncology, Austin, TX.
Lucio GordanFlorida Cancer Specialists & Research Institute LLC, Gainesville, FL.
Michael DiazFlorida Cancer Specialists & Research Institute LLC, Gainesville, FL.
Ted OkonCommunity Oncology Alliance, Monroe, CT.
Lance GradyAvalere Health, Washington, DC.
Merrill HarmisonAvalere Health, Washington, DC.
Nathan MarkwardAvalere Health, Washington, DC.
Milena SullivanAvalere Health, Washington, DC.
Jing PengAvalere Health, Washington, DC.
Anan ZhouAvalere Health, Washington, DC.
Prevea Health · USFlorida Cancer Specialists & Research Institute · USCommunity Health Alliance · USTexas Oncology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile the immediate care and access disruptions associated with the COVID-19 pandemic have received growing attention in certain areas, the full range of gaps in cancer screenings and treatment is not yet well understood or well documented throughout the country comprehensively.

methodsThis study used a large medical claims clearinghouse database representing 5%-7% of the Medicare fee-for-service population to characterize changes in the utilization of cancer care services and gain insight into the impact of COVID-19 on the US cancer population, including identification of new patients, gaps in access to care, and disruption of treatment journeys.

resultsIn March-July 2020, in comparison with the baseline period of March-July 2019, there is a substantial decrease in cancer screenings, visits, therapy, and surgeries, with variation by cancer type and site of service. At the peak of the pandemic in April, screenings for breast, colon, prostate, and lung cancers were lower by 85%, 75%, 74%, and 56%, respectively. Significant utilization reductions were observed in April for hospital outpatient evaluation and management (E&M) visits (-74%), new patient E&M visits (-70%), and established patient E&M visits (-60%). A decrease in billing frequency was observed for the top physician-administered oncology products, dropping in both April (-26%) and July (-31%). Mastectomies were reduced consistently in April through July, with colectomies similarly reduced in April and May and prostatectomies dipping in April and July.

conclusionThe current impact of the COVID-19 pandemic on cancer care in the United States has resulted in decreases and delays in identifying new cancers and delivery of treatment. These problems, if unmitigated, will increase cancer morbidity and mortality for years to come.

Indexed as

MedicarePandemicsAgedCOVID-19Early Detection of CancerFemaleHumansMaleMedical OncologyNeoplasmsUnited States

Identifiers

PMID33253013
PMCPMC7713534
OpenAlexW3106631792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.