Evidence map›Paper›PMID 41803371›Full record

ArticleScientific reports2026

A multicenter cross-sectional study on perceptions and peer-reported prevalence of research misconduct among Chinese medical postgraduates.

Tang Haitao, Zhou Jingya, Wang Jinsong, Zeng Wen

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tang HaitaoHealth Management Center, General Practice Medical Center, West China Hospital, Chengdu, China.
Zhou JingyaAcademic Affairs Department, West China Second University Hospital, Sichuan University, Chengdu, China.
Wang JinsongDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Zeng WenHealth Management Center, General Practice Medical Center, West China Hospital, Chengdu, China. 1045147804@qq.com.

Funding

Science and Technological Supports Project of Sichuan Province, China 2020JDR0083Science and Technological Supports Project of Sichuan Province, China 2025NSFSCR0104
6 · The paper itself

Abstract

This study aimed to explore the gap between attitudes towards and personally observed breaches of research integrity among medical postgraduates in China, a critical yet understudied population. We conducted an online, cross-sectional survey among postgraduates at three Chinese medical schools. A self-administered questionnaire was used to evaluate their attitudes toward research integrity breaches and their perceptions of such behaviors among peers. Among 983 respondents (719 master's, 264 doctoral), a strong majority condemned serious research misconduct. Only 0.93% expressed acceptance for falsifying images to reverse results, and 1.53% for manipulating data to achieve significance. However, peer-reports revealed a higher prevalence of observed misconduct, with 18.41% indicating knowledge of data fabrication among peers. In conclusion, while Chinese medical postgraduates largely condemn serious research misconduct, the peer-reported occurrence of such behaviors indicates that ethical awareness has not been fully translated into practice. These findings highlight the need for bolstered educational initiatives and suggest that the peer-report method can be a key tool for educators to assess and address integrity issues within their institutions.

Indexed as

Scientific MisconductAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMalePeer GroupPrevalenceSurveys and QuestionnairesAcademic MisconductChinaMedical EducationPeer ReportResearch Integrity

Identifiers

PMID41803371
PMCPMC13096140

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.