Evidence map›Paper›PMID 38074689›Full record

ArticleFrontiers in oncology2023

Recent antitumor therapy does not increase Omicron COVID-19 severity in cancer patients: a two-center retrospective study in China.

Ying Liu, Wenyao Zhu, Zhiwu Wang, Jiarui Yu, Liang Dong, Chunyang Li, Wei Wang, Fuhui Zhang, Shuanghui Ding, Lu Sun and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

13 authors at 3 institutions in 1 country.

Ying Liu *Department of Infectious Disease, The First Affiliated Hospital of Soochow University, Suzhou, China.
Wenyao Zhu *Department of Radiotherapy, Yantai Yuhuangding Hospital, Yantai, China.
Zhiwu Wang *Department of Oncology, Tangshan People's Hospital, Tangshan, China.
Jiarui YuDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Liang DongDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Chunyang LiDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Wei WangDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Fuhui ZhangDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Shuanghui DingDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Lu SunDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Zhao YangDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Chao ZhangDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Fang QianDepartment of Oncology, Tangshan People's Hospital, Tangshan, China.
Tangshan People's Hospital · CNFirst Affiliated Hospital of Soochow University · CNYuhuangding Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of anticancer therapy and related clinical factors on the severity of COVID-19 in cancer patients during the Omicron pandemic has not been established. The recent outbreak in China caused predominantly by the BA.5.2 and BF.7 strains of Omicron provided us with the opportunity to observe objectively the impact of this strain in oncology patients. We initiated this two-center retrospective study in China to determine the impact of anti-cancer treatment, other clinical factors, and cancer characteristics on COVID-19 severity in cancer patients infected with coronavirus during the SARS-CoV-2 Omicron variant pandemic in China. Methods: We retrospectively included 554 cancer patients infected with COVID-19 from two medical centers. Data on their anticancer treatment prior to COVID-19 infection and general clinical characteristics (sex, age, past medical history, etc.) were collected. Univariate statistical analysis was performed to identify the factors associated with the severity of COVID-19. Results: Among 554 cancer patients infected with COVID-19, there were 15 (2.7%) severe/critical cases, 86 (15.5%) cases with medium severity, and 453 (81.8%) cases with mild severity. Univariate analysis revealed that advanced age, male sex, worse ECOG score, unvaccinated status, and previous liver, kidney, and brain diseases were associated with more severe COVID-19. However, recent antitumor therapy, including cytotoxic chemotherapy within two weeks did not have a significant correlation with the severity of COVID-19 caused by the Omicron variant. Conclusion: The severity of COVID-19 caused by the Omicron variant is not exacerbated by recent anticancer therapy in cancer patients. Therefore, anticancer therapy should not be discontinued in such cases, especially those with mild severity.

Indexed as

anticancer therapychemotherapyclinical featurescoronavirus disease 2019 (COVID-19)omicronsevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2)

Identifiers

PMID38074689
PMCPMC10699754
OpenAlexW4388912978

What OpenQuestion holds

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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.