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American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members

OBJECTIVE: To assess the features of panel members involved in the writing of the ACR-AC and identify alignment with research output and topic-specific research publications. METHODS: A cross-sectional analysis was performed on the research output of panel members of 34 ACR-AC documents published in...

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Autores principales: Malhotra, Ajay, Bajaj, Suryansh, Garg, Tushar, Khunte, Mihir, Pahwa, Bhavya, Wu, Xiao, Payabvash, Seyedmehdi, Mukherjee, Suresh, Gandhi, Dheeraj, Forman, Howard P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317907/
https://www.ncbi.nlm.nih.gov/pubmed/37395838
http://dx.doi.org/10.1186/s13244-023-01456-z
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author Malhotra, Ajay
Bajaj, Suryansh
Garg, Tushar
Khunte, Mihir
Pahwa, Bhavya
Wu, Xiao
Payabvash, Seyedmehdi
Mukherjee, Suresh
Gandhi, Dheeraj
Forman, Howard P.
author_facet Malhotra, Ajay
Bajaj, Suryansh
Garg, Tushar
Khunte, Mihir
Pahwa, Bhavya
Wu, Xiao
Payabvash, Seyedmehdi
Mukherjee, Suresh
Gandhi, Dheeraj
Forman, Howard P.
author_sort Malhotra, Ajay
collection PubMed
description OBJECTIVE: To assess the features of panel members involved in the writing of the ACR-AC and identify alignment with research output and topic-specific research publications. METHODS: A cross-sectional analysis was performed on the research output of panel members of 34 ACR-AC documents published in 2021. For each author, we searched Medline to record total number of papers (P), total number of ACR-AC papers (C) and total number of previously published papers that are relevant to the ACR-AC topic (R). RESULTS: Three hundred eighty-three different panel members constituted 602 panel positions for creating 34 ACR-AC in 2021 with a median panel size of 17 members. Sixty-eight (17.5%) of experts had been part of ≥10 previously published ACR-AC papers and 154 (40%) were members in ≥ 5 published ACR-AC papers. The median number of previously published papers relevant to the ACR-AC topic was 1 (IQR: 0–5). 44% of the panel members had no previously published paper relevant to the ACR-AC topic. The proportion of ACR-AC papers (C/P) was higher for authors with ≥ 5 ACR-AC papers (0.21) than authors with < 5 ACR-AC papers (0.11, p < 0.0001); however, proportion of relevant papers per topic (R/P) was higher for authors with < 5 ACR-AC papers (0.10) than authors with ≥ 5 ACR-AC papers (0.07). CONCLUSION: The composition of the ACR Appropriateness Criteria panels reflects many members with little or no previously published literature on the topic of consideration. Similar pool of experts exists on multiple expert panels formulating imaging appropriateness guidelines. KEY POINTS: There were 68 (17.5%) panel experts on ≥ 10 ACR-AC panels. Nearly 45% of the panel experts had zero median number of relevant papers. Fifteen panels (44%) had > 50% of members having zero relevant papers.
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spelling pubmed-103179072023-07-05 American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members Malhotra, Ajay Bajaj, Suryansh Garg, Tushar Khunte, Mihir Pahwa, Bhavya Wu, Xiao Payabvash, Seyedmehdi Mukherjee, Suresh Gandhi, Dheeraj Forman, Howard P. Insights Imaging Original Article OBJECTIVE: To assess the features of panel members involved in the writing of the ACR-AC and identify alignment with research output and topic-specific research publications. METHODS: A cross-sectional analysis was performed on the research output of panel members of 34 ACR-AC documents published in 2021. For each author, we searched Medline to record total number of papers (P), total number of ACR-AC papers (C) and total number of previously published papers that are relevant to the ACR-AC topic (R). RESULTS: Three hundred eighty-three different panel members constituted 602 panel positions for creating 34 ACR-AC in 2021 with a median panel size of 17 members. Sixty-eight (17.5%) of experts had been part of ≥10 previously published ACR-AC papers and 154 (40%) were members in ≥ 5 published ACR-AC papers. The median number of previously published papers relevant to the ACR-AC topic was 1 (IQR: 0–5). 44% of the panel members had no previously published paper relevant to the ACR-AC topic. The proportion of ACR-AC papers (C/P) was higher for authors with ≥ 5 ACR-AC papers (0.21) than authors with < 5 ACR-AC papers (0.11, p < 0.0001); however, proportion of relevant papers per topic (R/P) was higher for authors with < 5 ACR-AC papers (0.10) than authors with ≥ 5 ACR-AC papers (0.07). CONCLUSION: The composition of the ACR Appropriateness Criteria panels reflects many members with little or no previously published literature on the topic of consideration. Similar pool of experts exists on multiple expert panels formulating imaging appropriateness guidelines. KEY POINTS: There were 68 (17.5%) panel experts on ≥ 10 ACR-AC panels. Nearly 45% of the panel experts had zero median number of relevant papers. Fifteen panels (44%) had > 50% of members having zero relevant papers. Springer Vienna 2023-07-03 /pmc/articles/PMC10317907/ /pubmed/37395838 http://dx.doi.org/10.1186/s13244-023-01456-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Malhotra, Ajay
Bajaj, Suryansh
Garg, Tushar
Khunte, Mihir
Pahwa, Bhavya
Wu, Xiao
Payabvash, Seyedmehdi
Mukherjee, Suresh
Gandhi, Dheeraj
Forman, Howard P.
American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members
title American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members
title_full American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members
title_fullStr American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members
title_full_unstemmed American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members
title_short American College of Radiology Appropriateness Criteria®: a bibliometric analysis of panel members
title_sort american college of radiology appropriateness criteria®: a bibliometric analysis of panel members
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317907/
https://www.ncbi.nlm.nih.gov/pubmed/37395838
http://dx.doi.org/10.1186/s13244-023-01456-z
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