Evidence map›Paper›PMID 37525117›Full record

ArticleBMC medical research methodology2023

Methodological quality and reporting quality of COVID-19 living systematic review: a cross-sectional study.

Jiefeng Luo, Zhe Chen, Dan Liu, Hailong Li, Siyi He, Linan Zeng, Mengting Yang, Zheng Liu, Xue Xiao, Lingli Zhang

Abstract read
In one paragraph

Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

10 authors.

Jiefeng Luo *Department of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Zhe Chen *Department of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Dan LiuDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Hailong LiDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Siyi HeDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Linan ZengDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Mengting YangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Zheng LiuDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Xue XiaoKey Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China. 1337190313@qq.com.
Lingli ZhangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China. zhanglingli1306@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe main objective of this study is to evaluate the methodological quality and reporting quality of living systematic reviews (LSRs) on Coronavirus disease 2019 (COVID-19), while the secondary objective is to investigate potential factors that may influence the overall quality of COVID-19 LSRs.

methodsSix representative databases, including Medline, Excerpta Medica Database (Embase), Cochrane Library, China national knowledge infrastructure (CNKI), Wanfang Database, and China Science, Technology Journal Database (VIP) were systematically searched for COVID-19 LSRs. Two authors independently screened articles, extracted data, and then assessed the methodological and reporting quality of COVID-19 LSRs using the "A Measurement Tool to Assess systematic Reviews-2" (AMSTAR-2) tool and "Preferred Reporting Items for Systematic reviews and Meta-Analyses" (PRISMA) 2020 statement, respectively. Univariate linear regression and multivariate linear regression were used to explore eight potential factors that might affect the methodological quality and reporting quality of COVID-19 LSRs.

resultsA total of 64 COVID-19 LSRs were included. The AMSTAR-2 evaluation results revealed that the number of "yes" responses for each COVID-19 LSR was 13 ± 2.68 (mean ± standard deviation). Among them, 21.9% COVID-19 LSRs were rated as "high", 4.7% as "moderate", 23.4% as "low", and 50% as "critically low". The evaluation results of the PRISMA 2020 statement showed that the sections with poor adherence were methods, results and other information. The number of "yes" responses for each COVID-19 LSR was 21 ± 4.18 (mean ± standard deviation). The number of included studies and registration are associated with better methodological quality; the number of included studies and funding are associated with better reporting quality.

conclusionsImprovement is needed in the methodological and reporting quality of COVID-19 LSRs. Researchers conducting COVID-19 LSRs should take note of the quality-related factors identified in this study to generate evidence-based evidence of higher quality.

Indexed as

COVID-19Systematic Reviews as TopicChinaCross-Sectional StudiesHumansResearch DesignCoronavirus disease 2019Living systematic reviewMethodological qualityReporting qualitySystematic review

Identifiers

PMID37525117
PMCPMC10388517

What Socratic holds

Textmetadata
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 Socratic graph.