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Analyzing the Role of Research in the Radiation Oncology Match
PURPOSE: Program directors consider scholarly output to be integral in matching applicants with radiation oncology residencies. However, applicants’ research productivity can be quantified in several ways, and the results can be misleading for both applicants and program directors. We conducted a bi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866675/ https://www.ncbi.nlm.nih.gov/pubmed/35243182 http://dx.doi.org/10.1016/j.adro.2021.100891 |
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author | Huang, Austin Gunther, Jillian R. Lin, Lilie L. |
author_facet | Huang, Austin Gunther, Jillian R. Lin, Lilie L. |
author_sort | Huang, Austin |
collection | PubMed |
description | PURPOSE: Program directors consider scholarly output to be integral in matching applicants with radiation oncology residencies. However, applicants’ research productivity can be quantified in several ways, and the results can be misleading for both applicants and program directors. We conducted a bibliometric analysis to quantify the research productivity of applicants who had successfully matched to radiation oncology residencies and to test for associations between research productivity and residency program rankings. METHODS AND MATERIALS: We identified U.S. radiation oncology residency programs from the Accreditation Council for Graduate Medical Education website and sorted the findings into 4 tiers based on the programs’ reputation and research output per Doximity's Residency Navigator. First-year (post-graduate year-2) radiation oncology residents starting in 2020 were identified on residency program websites. Residents’ research productivity was estimated by identifying peer-reviewed research articles (published before the residency applications began) via PubMed, Scopus, and Google Scholar for each resident. Bibliometric variables were analyzed for potential association with matching to higher-tier residencies. RESULTS: We identified 187 first-year residents in 83 U.S. residency programs. The mean number of National Resident Matching Program publications (which was self-reported and included presentations and abstracts) was 18.3 per applicant; the mean (± standard deviation) peer-reviewed publications was 2.47 (±2.88) per resident. Multivariate analysis showed that number of first-author publications was associated with matching to a higher-tier program, based on the program's reputation (P = .019) and research output (P = .010); numbers of radiation oncology–specific publications (P = .039) and h-index (P = .024) correlated with matching to a higher-tier residency based on the program's research output. CONCLUSIONS: The number of first-author publications was significantly associated with matriculating into a higher-tier residency ranked by both reputation and research output. Significant correlations were also found for number of radiation oncology–specific publications and h-index. Applicants may find publishing meaningful radiation oncology articles, especially as first author, to be more valuable than meeting National Resident Matching Program numbers. |
format | Online Article Text |
id | pubmed-8866675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88666752022-03-02 Analyzing the Role of Research in the Radiation Oncology Match Huang, Austin Gunther, Jillian R. Lin, Lilie L. Adv Radiat Oncol Scientific Article PURPOSE: Program directors consider scholarly output to be integral in matching applicants with radiation oncology residencies. However, applicants’ research productivity can be quantified in several ways, and the results can be misleading for both applicants and program directors. We conducted a bibliometric analysis to quantify the research productivity of applicants who had successfully matched to radiation oncology residencies and to test for associations between research productivity and residency program rankings. METHODS AND MATERIALS: We identified U.S. radiation oncology residency programs from the Accreditation Council for Graduate Medical Education website and sorted the findings into 4 tiers based on the programs’ reputation and research output per Doximity's Residency Navigator. First-year (post-graduate year-2) radiation oncology residents starting in 2020 were identified on residency program websites. Residents’ research productivity was estimated by identifying peer-reviewed research articles (published before the residency applications began) via PubMed, Scopus, and Google Scholar for each resident. Bibliometric variables were analyzed for potential association with matching to higher-tier residencies. RESULTS: We identified 187 first-year residents in 83 U.S. residency programs. The mean number of National Resident Matching Program publications (which was self-reported and included presentations and abstracts) was 18.3 per applicant; the mean (± standard deviation) peer-reviewed publications was 2.47 (±2.88) per resident. Multivariate analysis showed that number of first-author publications was associated with matching to a higher-tier program, based on the program's reputation (P = .019) and research output (P = .010); numbers of radiation oncology–specific publications (P = .039) and h-index (P = .024) correlated with matching to a higher-tier residency based on the program's research output. CONCLUSIONS: The number of first-author publications was significantly associated with matriculating into a higher-tier residency ranked by both reputation and research output. Significant correlations were also found for number of radiation oncology–specific publications and h-index. Applicants may find publishing meaningful radiation oncology articles, especially as first author, to be more valuable than meeting National Resident Matching Program numbers. Elsevier 2022-01-04 /pmc/articles/PMC8866675/ /pubmed/35243182 http://dx.doi.org/10.1016/j.adro.2021.100891 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Scientific Article Huang, Austin Gunther, Jillian R. Lin, Lilie L. Analyzing the Role of Research in the Radiation Oncology Match |
title | Analyzing the Role of Research in the Radiation Oncology Match |
title_full | Analyzing the Role of Research in the Radiation Oncology Match |
title_fullStr | Analyzing the Role of Research in the Radiation Oncology Match |
title_full_unstemmed | Analyzing the Role of Research in the Radiation Oncology Match |
title_short | Analyzing the Role of Research in the Radiation Oncology Match |
title_sort | analyzing the role of research in the radiation oncology match |
topic | Scientific Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866675/ https://www.ncbi.nlm.nih.gov/pubmed/35243182 http://dx.doi.org/10.1016/j.adro.2021.100891 |
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