ArticleCurrent neuropharmacology2025
Bibliometric Analysis of Antipsychotic-induced Metabolic Disorder from 2006 to 2021 Based on WoSCC Database.
Article in Current neuropharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundWith the frequent use of antipsychotics, the metabolic disorder (MetD) caused by drugs has received increasing attention. However, the mechanism of drug-induced MetD is still unclear and is being explored. Keeping abreast of the progress and trending knowledge in this area is conducive to further work.
objectiveThe aim of this study is to analyze the latest status and trends of research on antipsychoticinduced metabolic disorder (AIMetD) by bibliometric and visual analysis.
methods3478 publications of AIMetD from 2006 to 2021 were retrieved from the Web of Science Core Collection database. R-biblioshiny was used for descriptive analysis, CiteSpace for cooperative network, co-citation analysis and burst detection, and VOSviewer for co-occurrence keywords was used.
resultsSince 2006, the publications have been growing fluctuantly. These studies have extensive cooperation among countries/regions. The most influential country/region, institution and author are the USA, King's College London and Christoph U Correll. Analysis of references shows the largest cluster of "antipsychotic-induced metabolic dysfunction", which is an important basis for MetD. The recent contents of the burst citation are related to "glucose homeostasis" and "cardiovascular metabolism". Several bursting keywords were discerned at the forefront, including "LC-MS/MS", "major depressive disorder", "expression", and "homeostasis".
conclusionThe AIMetD study is in a state of sustained development. Close cooperation between countries/ regions has promoted progress. For grasping the foundation, development, and latest trends of AIMetD, it is recommended to focus on active institutions and authors. Based on AIMetD, subdivision areas such as "LC-MS/MS", "expression", and "homeostasis" are forefronts that deserve constant attention.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.