Understanding the nature and scope of clinical research commentaries in PubMed.
PubMed
publishing
scientific commentary
scientific communication
topic modeling
Journal
Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800
Informations de publication
Date de publication:
01 03 2020
01 03 2020
Historique:
received:
03
04
2019
revised:
19
09
2019
accepted:
23
11
2019
pubmed:
1
1
2020
medline:
20
1
2021
entrez:
1
1
2020
Statut:
ppublish
Résumé
Scientific commentaries are expected to play an important role in evidence appraisal, but it is unknown whether this expectation has been fulfilled. This study aims to better understand the role of scientific commentary in evidence appraisal. We queried PubMed for all clinical research articles with accompanying comments and extracted corresponding metadata. Five percent of clinical research studies (N = 130 629) received postpublication comments (N = 171 556), resulting in 178 882 comment-article pairings, with 90% published in the same journal. We obtained 5197 full-text comments for topic modeling and exploratory sentiment analysis. Topics were generally disease specific with only a few topics relevant to the appraisal of studies, which were highly prevalent in letters. Of a random sample of 518 full-text comments, 67% had a supportive tone. Based on our results, published commentary, with the exception of letters, most often highlight or endorse previous publications rather than serve as a prominent mechanism for critical appraisal.
Identifiants
pubmed: 31889182
pii: 5691202
doi: 10.1093/jamia/ocz209
pmc: PMC7025356
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
449-456Subventions
Organisme : NLM NIH HHS
ID : R01 LM009886
Pays : United States
Organisme : NLM NIH HHS
ID : T15 LM007079
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001873
Pays : United States
Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.
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