SynthesisBMC psychiatry2025
Prevalence and predictors of metabolic syndrome among psychiatric patients receiving antipsychotic treatment in Africa: a systematic review and meta-analysis.
Synthesis in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07446218 (Impact of Pharmacist-Led Interventions in Psychiatric Patients on Second Generation Antipsychotics), which is not on this map. Cited by 2 papers.
What it found
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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.
Impact of Pharmacist-Led Interventions in Psychiatric Patients on Second Generation Antipsychotics
Who cites it
2 citing papers in PubMed.
- A comprehensive study on the uric acid to high-density cholesterol ratio influencing cardiometabolic-based chronic disease in China.Frontiers in nutrition · 2026Article
- Antipsychotics and Change of Weight, Menstrual Cycle, and Metabolic Syndrome Components Among Schizophrenic Women: A 12-Week Longitudinal Prospective Study in Tien Giang, Vietnam.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAntipsychotic medications, though essential for treating severe mental illnesses, are commonly associated with metabolic side effects that increase the risk of metabolic syndrome (MetS). These metabolic complications significantly undermine treatment adherence and contribute to adverse clinical outcomes. Despite the increasing utilization of antipsychotics in Africa, there remains a critical lack of region-specific data on the prevalence and determinants of metabolic syndrome in this population. This systematic review and meta-analysis aims to synthesize existing data on the prevalence and predictors of MetS among psychiatric patients receiving antipsychotic treatment in Africa.
methodWe looked for primary papers on PubMed/MEDLINE, Scopus, African Journal Online, PsycINFO, EMBASE, Psychiatry Online, CINAHL, Science Direct, and the Cochrane Library. We included original research articles that evaluated the prevalence of metabolic syndrome among psychiatric patients treated with antipsychotic medication. Two independent reviewers examined the articles and extracted data. The I² statistic was employed to assess statistical heterogeneity, and a random-effects meta-analysis was applied due to the observed heterogeneity. Publication bias was evaluated using a funnel plot and Egger's weighted regression test. This review has been registered with PROSPERO (ID = CRD42024558310).
resultsThis systematic review analyzed 25 primary studies encompassing a total of 4,064 participants. The pooled prevalence of metabolic syndrome among psychiatric patients receiving antipsychotic treatment in Africa was estimated at 22% (95% CI: 16.33-27.66). Female gender (OR = 3.28, 95% CI: 1.73-6.23), advanced age (OR = 1.07, 95% CI: 1.03-1.12), and elevated body mass index (OR = 5.33, 95% CI: 2.35-12.12) were identified as significant risk factors for metabolic syndrome in this population.
conclusionMetabolic syndrome is highly prevalent among psychiatric patients receiving antipsychotic treatment in Africa, with female sex, older age, and elevated body mass index identified as significant risk factors. These findings underscore the need for routine metabolic monitoring and timely interventions to mitigate cardiovascular risk, enhance treatment adherence, and prevent recurrence of psychiatric symptoms.
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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.