Department of Oral and Maxillofacial Surgery, Amsterdam University Medical Center (Amsterdam UMC) Location AMC, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.
Studio di Ortodonzia, Via Matteo Bandello 15, 20123, Milan, Italy.
Syst Rev. 2022 Apr 4;11(1):57. doi: 10.1186/s13643-022-01928-1.
Honorary authorship refers to the practice of naming an individual who has made little or no contribution to a publication as an author. Honorary authorship inflates the output estimates of honorary authors and deflates the value of the work by authors who truly merit authorship. This manuscript presents the protocol for a systematic review that will assess the prevalence of five honorary authorship issues in health sciences.
Surveys of authors of scientific publications in health sciences that assess prevalence estimates will be eligible. No selection criteria will be set for the time point for measuring outcomes, the setting, the language of the publication, and the publication status. Eligible manuscripts are searched from inception onwards in PubMed, Lens.org , and Dimensions.ai. Two calibrated authors will independently search, determine eligibility of manuscripts, and conduct data extraction. The quality of each review outcome for each eligible manuscript will be assessed with a 14-item checklist developed and piloted for this review. Data will be qualitatively synthesized and quantitative syntheses will be performed where feasible. Criteria for precluding quantitative syntheses were defined a priori. The pooled random effects double arcsine transformed summary event rates of five outcomes on honorary authorship issues with the pertinent 95% confidence intervals will be calculated if these criteria are met. Summary estimates will be displayed after back-transformation. Stata software (Stata Corporation, College Station, TX, USA) version 16 will be used for all statistical analyses. Statistical heterogeneity will be assessed using Tau and Chi tests and I to quantify inconsistency.
The outcomes of the planned systematic review will give insights in the magnitude of honorary authorship in health sciences and could direct new research studies to develop and implement strategies to address this problem. However, the validity of the outcomes could be influenced by low response rates, inadequate research design, weighting issues, and recall bias in the eligible surveys.
This protocol was registered a priori in the Open Science Framework (OSF) link: https://osf.io/5nvar/ .
荣誉作者是指将对出版物几乎没有或没有贡献的个人命名为作者的做法。荣誉作者的做法夸大了荣誉作者的产出估计，也贬低了真正应得作者身份的作者的工作价值。本文提出了一项系统评价的方案，该方案将评估健康科学领域中五种荣誉作者身份问题的流行率。
将纳入评估流行率估计的健康科学领域科学出版物的作者调查。对于衡量结果的时间点、研究背景、出版物的语言和出版状态，将不设定任何选择标准。从PubMed、Lens.org 和 Dimensions.ai 中搜索所有符合条件的手稿。两名经过校准的作者将独立地进行搜索、确定手稿的资格并进行数据提取。将使用为此审查制定并进行试点的 14 项清单来评估每个合格手稿的每个审查结果的质量。如果可行，将对数据进行定性综合，对定量综合进行评估。预先定义了排除定量综合的标准。如果符合这些标准，将计算五个荣誉作者身份问题的汇总随机效应双弧形变换的汇总事件率，以及相关的 95%置信区间。汇总估计值将在反向转换后显示。所有统计分析都将使用 Stata 软件（Stata Corporation，College Station，TX，USA）版本 16 进行。使用 Tau 和 Chi 检验以及 I 来评估统计异质性来衡量不一致性。
计划中的系统评价的结果将提供健康科学领域荣誉作者身份的规模的深入了解，并可能指导新的研究，以制定和实施解决这一问题的策略。然而，由于合格调查中的低回复率、不充分的研究设计、权重问题和回忆偏差，结果的有效性可能会受到影响。
该方案已预先在开放科学框架（OSF）链接中注册：https://osf.io/5nvar/。
