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Item Analysis of Public Preprint Server Comments on NIH Preprint Pilot Articles(2022-05-04) Sawyer, Amanda; Cruise, Allison; Dolan, Levi; Chatmon, BriannaObjectives: Given the increased prevalence of preprints during the COVID-19 pandemic, this project sought to analyze public comments left on a sample of preprint articles from the NIH Preprint Pilot to determine if they were substantive in nature. Analysis of article titles and qualitative coding of the comments was conducted. This analysis was designed to obtain both quantitative and qualitative measures of comments on a selected group of articles so that the relationship between public commenting and scientific rigor could be explored. Methods: The first 1,000 preprint articles to be indexed in PubMed Central and hosted on two preprint platforms (bioRxiv and medRxiv) were selected. Using the preprint servers’ associated commenting platforms, full text comment threads and Twitter information was obtained, and summary statistics of commenting platforms were produced. From the article sample a total of 494 comments were collected from public commenters using the Disqus platform to provide feedback on the articles. Using the article titles, the authors explored indications of the relationship between article topic and frequency of commenter engagement. Preliminary coding was conducted using a ‘thumbs up/thumbs down’ method and potential categorizations were suggested. Utilizing these suggestions, the authors created and refined a draft codebook. Finally, thirteen categorizations, ten for substantive comments and three for not substantive comments, were created and used to qualitatively code the comment sample. Results: Two rounds of coding were completed to reach sufficient interrater reliability. The authors found that most of the public comments were substantive, with over 28% meeting the criteria for critique, 21.5% as questions for authors, and over 11% having aspects of a formal peer review process. The analysis revealed engagement between commenters and preprint authors, demonstrated through author responses to questions, updates, and feedback. Commenters also provided suggestions for future research (3.6%) and indicated their intent to utilize the preprint findings in future research projects of their own (2.6%). Conclusions: This project provides evidence of the impact of public commenting on scientific rigor. Public commenting was frequently substantive, and provided critique which sometimes led to direct revisions of the preprint article. Commenters also provided responses similar in nature to the formal peer review process, providing authors with feedback faster than the traditional process. Through preprints authors can disseminate their research to a wide audience earlier, and comments indicated that some readers intended to use the preprint findings in their own research, accelerating the potential for scientific discovery. As the prevalence of preprints continues to grow and public engagement with preprints increases, this paper’s methodology can be replicated and refined to further analyze the value of public commenting on preprints.Item National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-Versus-Host Disease: III. The 2014 Biomarker Working Group Report(Elsevier B.V., 2015-05) Paczesny, Sophie; Hakim, Frances T.; Pidala, Joseph; Cooke, Kenneth; Lathrop, Julia; Griffith, Linda M.; Hansen, John; Jagasia, Madan; Miklos, David; Pavletic, Steven; Parkman, Robertson; Russek-Cohen, Estelle; Flowers, Mary E.D.; Lee, Stephanie; Martin, Paul; Vogelsang, Georgia; Walton, Marc; Schultz, Kirk R.; Department of Pediatrics, IU School of MedicineBiology-based markers to confirm or aid in the diagnosis or prognosis of chronic GVHD after allogeneic hematopoietic cell transplantation (HCT) or monitor its progression are critically needed to facilitate evaluation of new therapies. Biomarkers have been defined as any characteristic that is objectively measured and evaluated as an indicator of a normal biological or pathogenic process, a pharmacologic response to a therapeutic intervention. Applications of biomarkers in chronic GVHD clinical trials or patient management include: a) diagnosis and assessment of chronic GVHD disease activity, including distinguishing irreversible damage from continued disease activity, b) prognostic risk to develop chronic GVHD, and c) prediction of response to therapy. Sample collection for chronic GVHD biomarkers studies should be well-documented following established quality control guidelines for sample acquisition, processing, preservation and testing, at intervals that are both calendar- and event-driven. The consistent therapeutic treatment of subjects and standardized documentation needed to support biomarker studies are most likely to be provided in prospective clinical trials. To date, no chronic GVHD biomarkers have been qualified for utilization in clinical applications. Since our previous chronic GVHD Biomarkers Working Group report in 2005, an increasing number of chronic GVHD candidate biomarkers are available for further investigation. This paper provides a four-part framework for biomarker investigations: identification, verification, qualification, and application with terminology based on Food and Drug Administration and European Medicines Agency guidelines.