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Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

This study examines (1) the proportion and patterns of public disclosure of AI/ML research results through Clinical Trials.gov and peer-reviewed publications indexed in Pub Med or Scopus, and (2) whether disclosure rates vary according to key study characteristics, including those related to population representation, such as geographic region and gross national income.

Shoko Maru, Ryohei Kuwatsuru, Michael D Matthias, Ross J Simpson Jr

J Med Internet Res 2025;27:e60148

Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews

Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews

The following five databases were searched: (1) Pub Med, (2) Web of Science, (3) MEDLINE, (4) Cochrane Library, and (5) Psyc INFO. Three categories of search terms were used as follows: (1) “mental health,” (2) “digital interventions,” and (3) “workplace”, with the Boolean operator “AND” to separate categories and “OR” within categories. The search strategy for each database is presented in Multimedia Appendix 1. Google Scholar was also used to identify any further systematic reviews.

Gillian Cameron, Maurice Mulvenna, Edel Ennis, Siobhan O'Neill, Raymond Bond, David Cameron, Alex Bunting

JMIR Ment Health 2025;12:e67785

Added Value of Medical Subject Headings Terms in Search Strategies of Systematic Reviews: Comparative Study

Added Value of Medical Subject Headings Terms in Search Strategies of Systematic Reviews: Comparative Study

Furthermore, the MEDLINE database was queried with the Ovid search engine, rather than Pub Med. We therefore decided to evaluate this question in more detail. The objective of this work was to estimate the added value of using Me SH terms in Pub Med queries for SRs. We first selected the top 6 journals in the “Medicine. General & Internal” Journal Citation Reports category, according to the impact factors computed by Clarivate [23,24].

Victor Leblanc, Aghiles Hamroun, Raphaël Bentegeac, Bastien Le Guellec, Rémi Lenain, Emmanuel Chazard

J Med Internet Res 2024;26:e53781

JMIR Dermatology’s 2023 Year in Review

JMIR Dermatology’s 2023 Year in Review

Through the contributions of authors, the editorial team, and reviewers, the Library Operations Division of the US National Library of Medicine decided to include JMIR Dermatology for indexing in Pub Med Central after a rigorous scientific and technical evaluation. This indexing will be in addition to the journal appearing in the Sherpa Romeo, Scopus, Directory of Open Access Journals, and Centre for Agriculture and Biosciences International databases.

Ramiro Rodriguez, Robert P Dellavalle

JMIR Dermatol 2024;7:e57007

Telemedicine Applications for Cancer Rehabilitation: Scoping Review

Telemedicine Applications for Cancer Rehabilitation: Scoping Review

An electronic literature search was conducted using the Pub Med database to identify relevant studies for inclusion in this scoping review. The following Boolean search terms were used: (telerehabilitation) AND (cancer) AND (“physical therapy” OR “exercise” OR “cancer rehabilitation”). No language restrictions were applied. The studies included were published between January 2015 and May 2023.

Patricia Goncalves Leite Rocco, C Mahony Reategui-Rivera, Joseph Finkelstein

JMIR Cancer 2024;10:e56969

Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study

Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study

Epidemiological criminology studies are indexed in bibliographical databases related to medicine such as Pub Med. Thus, a literature search based on our original query [24] was conducted in Pub Med using the query (given later in this section) to identify relevant studies [23].

George Karystianis, Paul Simpson, Wilson Lukmanjaya, Natasha Ginnivan, Goran Nenadic, Iain Buchan, Tony Butler

JMIR Form Res 2023;7:e49721

Completeness of Reporting in Diet- and Nutrition-Related Randomized Controlled Trials and Systematic Reviews With Meta-Analysis: Protocol for 2 Independent Meta-Research Studies

Completeness of Reporting in Diet- and Nutrition-Related Randomized Controlled Trials and Systematic Reviews With Meta-Analysis: Protocol for 2 Independent Meta-Research Studies

Similarly, an automated assessment of all Pub Med Central articles estimated that in 2020, overall 15% of articles had a data-sharing statement and 3% had a code-sharing statement [34]. “Spin,” as defined by Boutron et al [35], is the use of specific reporting strategies, from whatever motive, to highlight that the experimental treatment is beneficial, despite a statistically nonsignificant difference for the primary outcome, or to distract the reader from statistically nonsignificant results.

Flávia Silva, Amanda Rodrigues Amorim Adegboye, Carl Lachat, Cintia Curioni, Fabio Gomes, Gary S Collins, Gilberto Kac, Jennifer Anne de Beyer, Jonathan Cook, Leila Cheikh Ismail, Matthew Page, Neha Khandpur, Sarah Lamb, Sally Hopewell, Shona Kirtley, Solange Durão, Colby J Vorland, Michael M Schlussel

JMIR Res Protoc 2023;12:e43537

Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus

Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus

Schulz et al [16] developed another corpus based on case reports from Pub Med. They annotated the cases, conditions, findings, factors, negation modifiers, and relationship between these entities. Gurulingappa et al [21] developed a MEDLINE ADE corpus to support the automatic extraction of drug-related adverse events from case reports in MEDLINE (a subset of Pub Med). Their corpus contains 4272 unique sentences and 6821 relations.

Karina Karapetian, Soo Min Jeon, Jin-Won Kwon, Young-Kyoon Suh

J Med Internet Res 2023;25:e41100

The Use of Patient-Generated Health Data From Consumer-Grade Mobile Devices in Clinical Workflows: Protocol for a Systematic Review

The Use of Patient-Generated Health Data From Consumer-Grade Mobile Devices in Clinical Workflows: Protocol for a Systematic Review

The selected sources are Pub Med, ACM Digital Library (including the ACM Guide to Computing Literature), IEEE Xplore, and Scopus. The advanced search methodologies and limitations of each source were revised in advance to standardize the final search terms and resulting search string, which will be used in all sources without alterations to maintain consistency. The search strategy was constructed iteratively to ensure that relevant articles were more likely to be identified.

Sharon Guardado Medina, Minna Isomursu

JMIR Res Protoc 2023;12:e39389