Evidence map›Paper›PMID 42100474›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2026

Impact of the COVID-19 Pandemic on Inpatient Cancer Treatment and Outcomes in the United States.

Justin Johnson, Paul Kang, Daniel Gridley

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Justin JohnsonCreighton University School of Medicine, Phoenix, AZ.
Paul KangCreighton University School of Medicine, Phoenix, AZ.
Daniel GridleyCreighton University School of Medicine, Phoenix, AZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine how hospitalized cancer patients were impacted by the pandemic. Patients and Methods: Inpatients with a primary or secondary cancer diagnosis in the United States were identified using International Classification of Diseases, Tenth Revision, codes. Over 414,000 (210,000 weighted) cancer admissions were reported on the National Inpatient Sample database from 2019 to 2021 and used for analysis. Patients were stratified by COVID-19 status and sociodemographic factors. Primary outcomes included in-hospital complications, discharge disposition, and in-hospital mortality. Key subgroups included income quartiles and insurance type. Results: Cancer patient admissions declined by 10.2% (75,150) from 2019 to 2020, whereas odds of in-hospital mortality decreased 9% (OR, 0.91; 95% CI, 0.87-0.94; Conclusion: Fewer cancer patients were admitted, and they experienced greater complications. Low-income, self-pay, as well as Black, Asian or Pacific Islander, and Other race patients, had higher odds of mortality. Overall in-hospital mortality for cancer patients decreased over the pandemic, possibly indicating change in place of death. Meanwhile, COVID-19-positive patients experienced more complications and increased in-hospital mortality. These findings emphasize the need for resilient and equitable health care systems to maintain essential services during crises.

Identifiers

PMID42100474
PMCPMC13144585

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.