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Abstract A systematic review with meta-analysis was conducted to assess the prevalence of automatically listing (a) senior member(s) of a department as co-author(s) on all submitted articles in health sciences and the prevalence of degrees of support on a 5-point justification scale. Survey research was searched in PubMed, Lens.org, and Dimensions.ai. until January 5 2023. We assessed the methodological quality of studies and conducted quantitative syntheses. We identified 15 eligible surveys, that provided 67 results, all of which were rated as having low quality. A pooled estimate of 20% [95% CI 16–25] (10 surveys, 3619 respondents) of researchers in various health sciences reported that a senior member of their department was automatically listed as an author on all submitted articles. Furthermore, 28% [95% CI 22–34] of researchers (10 surveys, 2180 respondents) felt that this practice was ‘never’, 24% [95% CI 22–27] ‘rarely’, 25% [95% CI 23–28] ‘sometimes’, 13% [95% CI 9–17] ‘most of the time’, and 8% [95% CI 6–9] ‘always justified’. The practice of automatically assigning senior members of departments as co-authors on all submitted manuscripts may be common in the health sciences; with those admitting to this practice finding it unjustified in most cases. Registration of the protocol The protocol was registered in Open Science Framework. Link: https://osf.io/4eywp/ .

Abstract A systematic review and meta-analysis of survey research was conducted to estimate honorary authorship prevalence in health sciences. We searched PubMed, Lens.org, and Dimensions.ai. until January 5 2023. Methodological quality was assessed and quantitative syntheses were conducted. Nineteen surveys were included and rated as having low methodological quality. We found a pooled prevalence of 26% [95% CI 21–31] (6 surveys, 2758 respondents) of researchers that perceived co-author(s) as honorary on the publication at issue (when they were not referred to any authorship criteria). That prevalence was 18% [95% CI 15–21] (11 surveys, 4272 respondents) when researchers were referred to Committee of Medical Journal Editors (ICMJE) authorship criteria, and 51% [95% CI 47–56] (15 surveys, 5111 respondents) when researchers were asked to declare their co-author(s) contributions on the publication at issue (and these were then compared to ICMJE criteria). 10% of researchers [95% CI 9–12] (11 surveys, 3,663 respondents) reported being approached by others to include honorary author(s) on the publication at issue and 16% [95% CI 13–18] (2 surveys, 823 respondents) admitted adding (an) honorary author(s). Survey research consistently indicates that honorary authorship in the health sciences is highly prevalent, however the quality of the surveys’ methods and reporting needs improvement.

Abstract Understanding marine animal stranding patterns can aid rehabilitation efforts and evaluations of ecosystem health. The goal of this retrospective study was to identify factors associated with outcome of marine animals presented to a rehabilitation facility in Brigantine, New Jersey, USA. Records of 4819 phocids, cetaceans, and sea turtles were reviewed. Taxa, age, sex, season, and outcome (natural death, euthanasia, transfer to another facility, and successful release) were recorded for each case. Binary logistic regression was employed to identify predictors associated with release, and a multivariate logistic regression model was developed to evaluate whether the association between taxa and chance of release persisted after adjustment for the other variables. Phocids were most likely to strand during winter. Phocids and sea turtles that stranded alive were more likely to be released than to die under care or be euthanized. Taxa, age, and season were all significantly associated with the probability of release. These results provide a reference for phocid, cetacean, and sea turtle stranding and rehabilitation in part of the mid-Atlantic region. Critical evaluation of wildlife rehabilitation is indicated to audit the success of efforts and to assess threats to free-ranging populations.