Evidence map›Paper›PMID 36044455›Full record

ArticlePloS one2022

Clinical characteristics and outcomes of lung cancer patients with COVID-19: A systematic review and meta-analysis protocol.

Mingyue Wu, Siru Liu, Yi Yang, Jie Lin, Jialin Liu

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Mingyue WuInformation Center, West China Hospital, Sichuan University, Chengdu, China.
Siru LiuDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Yi YangInformation Center, West China Hospital, Sichuan University, Chengdu, China.
Jie LinDepartment of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Jialin LiuInformation Center, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-1369-4625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is spreading rapidly worldwide, and the population is generally susceptible to SARS-CoV-2, especially those with cancer. Hence, our study aims to design a protocol for a systematic review and meta-analysis of the clinical characteristics and prognoses of lung cancer patients with COVID-19.

methodsThe protocol is prepared following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The literature will be searched in Embase, Pubmed, the Cochrane Library, LitCovid, and CNKI for potentially eligible articles. The quality of the articles will be used in the Newcastle-Ottawa Quality Assessment Scale (NOS) and Cochrane Handbook for Systematic Reviews of Interventions. Statistical analysis will be performed through RevMan 5 software. This review protocol has been registered in PROSPERO (CRD42022306866). DISCUSSION: To clarify whether COVID-19 affects the clinical symptoms and prognoses of lung cancer patients. Further study is needed to establish the best evidence-based for the management of lung cancer patients with COVID-19.

conclusionThe definitive conclusion will be important to physicians effectively manage lung cancer patients with COVID-19.

Indexed as

COVID-19Lung NeoplasmsHumansMeta-Analysis as TopicResearch DesignReview Literature as TopicSARS-CoV-2Systematic Reviews as Topic

Identifiers

PMID36044455
PMCPMC9432718

What OpenQuestion holds

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LicenceCC BY
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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.