Evidence map›Paper›PMID 32301508›Full record

ArticleJournal of medical virology2020

Assessment of the quality of systematic reviews on COVID-19: A comparative study of previous coronavirus outbreaks.

Yang Yu, Qianling Shi, Peng Zheng, Lei Gao, Haiyuan Li, Pengxian Tao, Baohong Gu, Dengfeng Wang, Hao Chen

Abstract readComparative Study
In one paragraph

Article in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 6 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

19 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  13. Gastrointestinal and hepatic manifestations of COVID-19: A systematic review and meta-analysis.JGH open : an open access journal of gastroenterology and hepatology · 2021
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  15. Neurological manifestations of COVID-19 infection: an umbrella review.The Egyptian journal of neurology, psychiatry and neurosurgery · 2021
    Review
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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.

Yang YuThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.ORCID 0000-0002-2409-3681
Qianling ShiThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Peng ZhengThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Lei GaoThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Haiyuan LiThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Pengxian TaoThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Baohong GuThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Dengfeng WangThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Hao ChenThe Department of Tumour Surgery, Lanzhou University Second Hospital, Lanzhou, China.

Funding

Basic Research Innovation Group Project of Gansu Province 1606RJIA328Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital CY2017-ZD01Fundamental Research Funds for the Central Universities lzujbky-2016-k16Fundamental Research Funds for the Central Universities lzujbky-2017-79Key Project of Science and Technology in Gansu province 19ZD2WA001National Natural Science Foundation of China 81376597National Natural Science Foundation of China 81470791National Natural Science Foundation of China 81670594Scientific Research Project of Gansu Health Industry GSWSKY2017-09Talents Innovation and Entrepreneurship Program of Lanzhou City 2017-RC-62Talent Staff Fund of the Lanzhou University Second Hospital ynyjrckyzx2015-1-01
6 · The paper itself

Abstract

Several systematic reviews (SRs) have been conducted on the COVID-19 outbreak, which together with the SRs on previous coronavirus outbreaks, form important sources of evidence for clinical decision and policy making. Here, we investigated the methodological quality of SRs on COVID-19, severe acute respiratory syndrome (SARS), and Middle East respiratory syndrome (MERS). Online searches were performed to obtain SRs on COVID-19, SARS, and MERS. The methodological quality of the included SRs was assessed using the AMSTAR-2 tool. Descriptive statistics were used to present the data. In total, of 49 SRs that were finally included in our study, 17, 16, and 16 SRs were specifically on COVID-19, MERS, and SARS, respectively. The growth rate of SRs on COVID-19 was the highest (4.54/month) presently. Of the included SRs, 6, 12, and 31 SRs were of moderate, low, and critically low quality, respectively. SRs on SARS showed the optimum quality among the SRs on the three diseases. Subgroup analyses showed that the SR topic (P < .001), the involvement of a methodologist (P < .001), and funding support (P = .046) were significantly associated with the methodological quality of the SR. According to the adherence scores, adherence to AMSTAR-2 items sequentially decreased in SRs on SARS, MERS, and COVID-19. The methodological quality of most SRs on coronavirus outbreaks is unsatisfactory, and those on COVID-19 have higher risks of poor quality, despite the rapid actions taken to conduct SRs. The quality of SRs should be improved in the future. Readers must exercise caution in accepting and using the results of these SRs.

Indexed as

PandemicsBetacoronavirusBibliometricsCoronavirus InfectionsCOVID-19HumansMiddle East Respiratory Syndrome CoronavirusPneumonia, ViralPublic Reporting of Healthcare DataSARS-CoV-2Severe Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusStatistics as TopicSystematic Reviews as TopicAMSTAR-2COVID-19evidencemethodological qualitysystematic review

Identifiers

PMID32301508
PMCPMC7264505

What OpenQuestion holds

Textmetadata
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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.