Evidence map›Paper›PMID 35261195›Full record

ArticleCancer medicine2022

COVID-19 outcomes in patients with cancer: Findings from the University of California health system database.

Daniel H Kwon, Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Braden Soper, Amy L Gryshuk, Julian C Hong, Priyadip Ray, Franklin W Huang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Association of Cancer History with COVID-19 Risk and Outcomes among Older Postmenopausal Women: Results from the Women's Health Initiative.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

9 authors at 2 institutions in 1 country.

Daniel H KwonDivision of Hematology/Oncology, Department of Medicine, University of California San Francisco, California, USA.ORCID 0000-0002-0830-7918
Jose CadenaComputational Engineering, Engineering Directorate, Lawrence Livermore National Laboratory, California, USA.
Sam NguyenComputational Engineering, Engineering Directorate, Lawrence Livermore National Laboratory, California, USA.
Kwan Ho Ryan ChanComputational Engineering, Engineering Directorate, Lawrence Livermore National Laboratory, California, USA.
Braden SoperCenter for Applied Scientific Computing, Computing Directorate, Lawrence Livermore National Laboratory, California, USA.
Amy L GryshukPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, California, USA.
Julian C HongHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-5172-6889
Priyadip RayComputational Engineering, Engineering Directorate, Lawrence Livermore National Laboratory, California, USA.
Franklin W HuangDivision of Hematology/Oncology, Department of Medicine, University of California San Francisco, California, USA.ORCID 0000-0001-5447-0436
Lawrence Livermore National Laboratory · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interaction between cancer diagnoses and COVID-19 infection and outcomes is unclear. We leveraged a state-wide, multi-institutional database to assess cancer-related risk factors for poor COVID-19 outcomes.

methodsWe conducted a retrospective cohort study using the University of California Health COVID Research Dataset, which includes electronic health data of patients tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at 17 California medical centers. We identified adults tested for SARS-CoV-2 from 2/1/2020-12/31/2020 and selected a cohort of patients with cancer. We obtained demographic, clinical, cancer type, and antineoplastic therapy data. The primary outcome was hospitalization within 30d after the first positive SARS-CoV-2 test. Secondary outcomes were SARS-CoV-2 positivity and severe COVID-19 (intensive care, mechanical ventilation, or death within 30d after the first positive test). We used multivariable logistic regression to identify cancer-related factors associated with outcomes.

resultsWe identified 409,462 patients undergoing SARS-CoV-2 testing. Of 49,918 patients with cancer, 1781 (3.6%) tested positive. Patients with cancer were less likely to test positive (RR 0.70, 95% CI: 0.67-0.74, p < 0.001). Among the 1781 SARS-CoV-2-positive patients with cancer, BCR/ABL-negative myeloproliferative neoplasms (RR 2.15, 95% CI: 1.25-3.41, p = 0.007), venetoclax (RR 2.96, 95% CI: 1.14-5.66, p = 0.028), and methotrexate (RR 2.72, 95% CI: 1.10-5.19, p = 0.032) were associated with greater hospitalization risk. Cancer and therapy types were not associated with severe COVID-19.

conclusionsIn this large, diverse cohort, cancer was associated with a decreased risk of SARS-CoV-2 positivity. Patients with BCR/ABL-negative myeloproliferative neoplasm or receiving methotrexate or venetoclax may be at increased risk of hospitalization following SARS-CoV-2 infection. Mechanistic and comparative studies are needed to validate findings.

Indexed as

COVID-19NeoplasmsAdultCOVID-19 TestingHospitalizationHumansMethotrexateRetrospective StudiesSARS-CoV-2MethotrexatecancerCOVID-19myeloproliferative neoplasmoutcomes research

Identifiers

PMID35261195
PMCPMC9110901
OpenAlexW4221112794

What OpenQuestion holds

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LicenceCC BY
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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.