Bibliometric and thematic analysis of scientific production on drug-related problems (DRP) indexed in the Scopus bibliographic database

Introduction: To analyze, using bibliometric techniques, the scientific production on drug-related problem (DRP) indexed in the Scopus bibliographic database. Method: Cross-sectional descriptive study. Data were obtained from the Scopus database, querying with the term "drug-related problem" in the registration fields of title, abstract and keywords; final search date January 2024. Results: A total of 2992 references were obtained. The annual relationship of the number of publications showed a direct linear regression model (R2 = 0.8; p < 0.001). The most frequent document type was the original article with 2455 (82.1%) references, with a productivity index of 3.4. Papers published in 26 different languages were identified, with English being the predominant language with 2607 (87.1%) papers. There was a statistically significant correlation between JCR and CiteScore impact indicators (R = 0.7, p = 0.005). A total of 40659 keywords (KW) were found, with an average of 13.6 KW per paper. The most used KW was Human, in 2411 (5.9%) times. Conclusions: Taking into account all previously mentioned, it could be concluded: This study showed that research in the field of DRPs has experienced a steady growth over the years, although it has not yet reached exponential growth. The original article was the most common type of document in scientific production. There was a clear Anglo-Saxon influence, both in terms of language and institutional affiliation. The lack of use of standardized language was evident.