Evidence map›Paper›PMID 35131810›Full record

SynthesisBMJ open2022

Impact of cancer diagnoses on the outcomes of patients with COVID-19: a systematic review and meta-analysis.

Shuting Han, Qingyuan Zhuang, Jianbang Chiang, Sze Huey Tan, Gail Wan Ying Chua, Conghua Xie, Melvin L K Chua, Yu Yang Soon, Valerie Shiwen Yang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
6.7field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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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 3 institutions in 2 countries.

Shuting HanDivision of Medical Oncology, National Cancer Centre Singapore, Singapore han.shuting@singhealth.com.sg.ORCID 0000-0002-0217-7956
Qingyuan ZhuangDivision of Supportive and Palliative Care, National Cancer Centre Singapore, Singapore.
Jianbang ChiangDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Sze Huey TanBiostatistics and Epidemiology Unit, National Cancer Centre Singapore, Singapore.
Gail Wan Ying ChuaDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Conghua XieDepartment of Radiation and Medical Oncology, Wuhan University Zhongnan Hospital, Wuhan, Hubei, China.ORCID 0000-0001-6623-9864
Melvin L K ChuaDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.ORCID 0000-0002-1648-1473
Yu Yang SoonDepartment of Radiation Oncology, National University Cancer Institute, Singapore.
Valerie Shiwen YangDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
National Cancer Centre Singapore · SGNational University Cancer Institute, Singapore · SGWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 has caused significant mortality and morbidity across the globe. Patients with cancer are especially vulnerable given their immunocompromised state. We aimed to determine the proportion of COVID-19 patients with cancer, their severity and mortality outcomes through a systematic review and meta-analysis (MA).

methodsSystematic review was performed through online databases, PubMed, Medline and Google Scholar, with keywords listed in the Methods section (1 November 2019-31 December 2020). Studies with clinical outcomes of at least 10 COVID-19 patients and at least one with a diagnosis of cancer were included. The studies for MA were assessed with PRISMA guidelines and appraised with Newcastle-Ottawa Scale. The data were pooled using a random-effects model using STATA software. The main outcomes were planned before data collection, including proportion of patients with cancer among COVID-19 populations, relative risk (RR) of severe outcomes and death of patients with cancer compared with general COVID-19 patients.

resultsWe identified 57 case series (63 413 patients), with 230 patients with cancer with individual patient data (IPD). We found that the pooled proportion of cancer among COVID-19 patients was 0.04 (95% CI 0.03 to 0.05, I

conclusionPatients with cancer were at a higher risk of severe and death outcomes from COVID-19 infection as compared with general COVID-19 populations. Limitations of this study include publication bias. A collaborative effort is required for a more complete database.

Indexed as

COVID-19NeoplasmsDatabases, FactualHumansSARS-CoV-2covid-19epidemiologyoncology

Identifiers

PMID35131810
PMCPMC8822543
OpenAlexW4210825063

What OpenQuestion holds

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LicenceCC BY-NC
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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.