Evidence map›Paper›PMID 39342302›Full record

ArticleSystematic reviews2024

The reporting quality of meta-epidemiological studies needs substantial improvement: a research on research study.

Youlin Long, Yurong Zheng, Xinyao Wang, Qiong Guo, Na Zhang, Ya Deng, Ruixian Tang, Zhengchi Li, Liang Du

Abstract read
In one paragraph

Article in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Youlin LongGeneral Practice Medical Centre, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yurong ZhengSchool of Public Health, Sichuan University, Chengdu, People's Republic of China.
Xinyao WangInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Qiong GuoInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Na ZhangInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Ya DengInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Ruixian TangInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Zhengchi LiInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China. zhengchili@scu.edu.cn.
Liang DuInnovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, People's Republic of China. duliang@scu.edu.cn.ORCID 0000-0003-1855-9139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeta-epidemiological research plays a vital role in providing empirical evidence needed to develop methodological manuals and tools, but the reporting quality has not been comprehensively assessed, and the influence of reporting guidelines remains unclear. The current study aims to evaluate the reporting quality of meta-epidemiological studies, assess the impact of reporting guidelines, and identify factors influencing reporting quality.

methodsWe searched PubMed and Embase for meta-epidemiological studies. The reporting quality of these studies was assessed for adherence to established reporting guidelines. Two researchers independently screened the studies and assessed the quality of the included studies. Time-series segmented linear regression was used to evaluate changes in reporting quality over time, while beta-regression analysis was performed to identify factors significantly associated with reporting quality.

resultsWe initially identified 1720 articles, of which 125 meta-epidemiological studies met the inclusion criteria. Of these, 65 (52%) had low reporting quality, 60 (48%) had moderate quality, and none achieved high quality. Of the 24 items derived from established reporting guidelines, 4 had poor adherence, 13 had moderate adherence, and 7 had high adherences. High journal impact factor (≥ 10) (OR = 1.42, 95% CI: 1.13, 1.80; P = 0.003) and protocol registration (OR = 1.70, 95% CI: 1.30, 2.22; P < 0.001) were significantly associated with better reporting quality. The publication of the reporting guideline did not significantly increase the mean reporting quality score (- 0.53, 95% CI: - 3.37, 2.31; P = 0.67) or the trend (- 0.38, 95% CI: - 1.02, 0.26; P = 0.20).

conclusionsOur analysis showed suboptimal reporting quality in meta-epidemiological studies, with no improvement post-2017 guidelines. This potential shortcoming could hinder stakeholders' ability to draw reliable conclusions from these studies. While preregistration could reduce reporting bias, its adoption remains low. Registration platforms could consider creating tailored types for meta-epidemiological research, and journals need to adopt more proactive measures to enforce reporting standards.

Indexed as

Epidemiologic StudiesGuideline AdherenceGuidelines as TopicHumansJournal Impact FactorMeta-Analysis as TopicResearch DesignResearch ReportInterrupted time-series analysisMeta-epidemiological studiesReporting quality

Identifiers

PMID39342302
PMCPMC11438193

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.