ArticleBlood advances2023
Influence of participant and reviewer characteristics in application scores for a hematology research training program.
Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 2 countries.
Funding
Abstract
The American Society of Hematology Clinical Research Training Institute (CRTI) is a clinical research training program with a competitive application process. The objectives were to compare application scores based on applicant and reviewer sex and underrepresented minority (URM) status. We included applications to CRTI from 2003 to 2019. The application scores were transformed into a scale from 0 to 100 (100 was the strongest). The factors considered were applicant and reviewer sex and URM status. We evaluated whether there was an interaction between the characteristics and time related to application scores. In total, 713 applicants and 2106 reviews were included. There was no significant difference in scores according to applicant sex. URM applicants had significantly worse scores than non-URM applicants (mean [standard error] 67.9 [1.56] vs 71.4 [0.63]; P = .0355). There were significant interactions between reviewer sex and time (P = .0030) and reviewer URM status and time (P = .0424); thus, results were stratified by time. For the 2 earlier time periods, male reviewers gave significantly worse scores than did female reviewers; this difference did not persist for the most recent time period. The URM reviewers did not give significantly different scores across time periods. URM applicants received significantly lower scores than non-URM applicants. The impact of reviewer sex and URM status changed over time. Although male reviewers gave lower scores in the early periods, this effect did not persist in the late period. Efforts are required to mitigate the impact of applicant URM status on application scores.
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Registered trials
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