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医学领域引文不准确的系统评价与荟萃分析。

Systematic review and meta-analysis of quotation inaccuracy in medicine.

作者信息

Baethge Christopher, Jergas Hannah

机构信息

Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Kerpener Str. 62, Cologne, 50937, Germany.

Deutsches Ärzteblatt & Deutsches Arzteblatt International, Editorial Offices, Cologne, Germany.

出版信息

Res Integr Peer Rev. 2025 Jul 23;10(1):13. doi: 10.1186/s41073-025-00173-z.

DOI:10.1186/s41073-025-00173-z
PMID:40696441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12285159/
Abstract

BACKGROUND

Quotations are crucial to science but have been shown to be often inaccurate. Quotation errors, that is, a reference not supporting the authors' claim, may still be a significant issue in scientific medical writing. This study aimed to examine the quotation error rate and trends over time in the medical literature.

METHODS

A systematic search of PubMed, Web of Science, and reference lists for quotation error studies in medicine and without date or language restrictions identified 46 studies analyzing 32,000 quotations/references. Literature search, data extraction, and risk of bias assessments were performed independently by two raters. Random-effects meta-analyses and meta-regression were used to analyze error rates and trends (protocol pre-registered on OSF).

RESULTS

16.9% (95% CI: 14.1%-20.0%) of quotations were incorrect, with approximately half classified as major errors (8.0% [95% CI: 6.4%-10.0%]). Heterogeneity was high, and Egger's test for small study effects remained negative throughout. Meta-regression showed no significant improvement in quotation accuracy over recent years (slope: -0.002 [95% CI: -0.03 to 0.02], p = 0.85). Neither risk of bias, nor the number of references were statistically significantly associated with total error rate, but journal impact factor was: Spearman's ρ = -0.253 (p = 0.043, binomial test, N = 25).

CONCLUSIONS

Quotation errors remain a problem in the medical literature, with no improvement over time. Addressing this issue requires concerted efforts to improve scholarly practices and editorial processes.

摘要

背景

引用对于科学至关重要,但已被证明常常不准确。引用错误,即参考文献不支持作者的主张,在医学科学写作中可能仍是一个重大问题。本研究旨在调查医学文献中引用错误率及其随时间的变化趋势。

方法

对PubMed、科学网以及医学引用错误研究的参考文献列表进行系统检索,无日期或语言限制,共识别出46项分析32,000条引用/参考文献的研究。文献检索、数据提取和偏倚风险评估由两名评估者独立进行。采用随机效应荟萃分析和荟萃回归分析错误率和趋势(方案已在开放科学框架上预先注册)。

结果

16.9%(95%置信区间:14.1%-20.0%)的引用不正确,其中约一半被归类为重大错误(8.0% [95%置信区间:6.4%-10.0%])。异质性较高,Egger小研究效应检验始终为阴性。荟萃回归显示近年来引用准确性没有显著提高(斜率:-0.002 [95%置信区间:-0.03至0.02],p = 0.85)。偏倚风险和参考文献数量与总错误率均无统计学显著关联,但期刊影响因子有:Spearman相关系数ρ = -0.253(p = 0.043,二项检验,N = 25)。

结论

引用错误在医学文献中仍然是一个问题,且未随时间得到改善。解决这一问题需要共同努力改进学术实践和编辑流程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ce0/12285159/eaee623a2a29/41073_2025_173_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ce0/12285159/6427d3e6853a/41073_2025_173_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ce0/12285159/eaee623a2a29/41073_2025_173_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ce0/12285159/6427d3e6853a/41073_2025_173_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ce0/12285159/eaee623a2a29/41073_2025_173_Fig2_HTML.jpg

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Burden of proof: combating inaccurate citation in biomedical literature.举证责任:打击生物医学文献中的不准确引用。
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