Evidence map›Paper›PMID 40864439›Full record

SynthesisJAMA psychiatry2025

Antipsychotic Drugs and Dysregulated Glucose Homeostasis: A Systematic Review and Meta-Analysis.

Emily C C Smith, Sri Mahavir Agarwal, Kristoffer J Panganiban, Kateryna Maksyutynska, Jonathan Monteiro, Jiwon Lee, Femin Prasad, Andrew Ji, Divia Shah, Samantha Cavalier and 10 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in JAMA psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Emily C C SmithSchizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Sri Mahavir AgarwalSchizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Kristoffer J PanganibanSchizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Kateryna MaksyutynskaSchizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Jonathan MonteiroTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Jiwon LeeSchizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Femin PrasadInstitute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Andrew JiInstitute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Divia ShahDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Samantha CavalierDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Reva U PrabhuneDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Emril RadoncicDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Zilu YangDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kaitlin FullerAngus L. Macdonald Library, St. Francis Xavier University, Antigonish, Nova Scotia, Canada.
Michael J McCarthyDepartment of Psychiatry, University of California, San Diego, La Jolla.
Tyler R PrestwoodDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Jacob S BallonDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Christoph U CorrellDepartment of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York.
Margaret K HahnSchizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Zachary FreybergDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Novel dopaminergic mechanisms of islet hormone secretion and antipsychotic drug-induced metabolic disturbancesR01DK124219 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FREYBERG, ZACHARY · 2021 to 2023
$1.2M
NIDDK NIH HHS R01 DK124219
6 · The paper itself

Abstract

Importance: Antipsychotic drug (AP)-induced glucose homeostasis changes are often attributed to AP-induced weight gain. Nevertheless, dysregulated glucose control can occur independently of weight gain. Objective: To examine the association between AP use and glucose homeostasis while considering weight gain propensity, medication type, and treatment duration. Data Sources: MEDLINE, Embase, PsychINFO, CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science were searched from inception through February 3, 2025. Study Selection: Blinded randomized clinical trials (RCTs) comparing changes in glucose homeostasis-related parameters between patients with severe mental illness or healthy volunteers assigned to AP or control (placebo or no intervention) groups were included. Studies were limited to English-language human studies without restrictions on study length, AP type, or previous AP exposure. Of 22 773 unique citations, 163 RCTs met inclusion criteria, with 127 studies included in the meta-analysis. Data Extraction and Synthesis: Each article was screened independently by 2 authors using predefined inclusion and exclusion criteria. Data extraction and risk of bias assessment were completed using a standardized spreadsheet. Data were analyzed via random-effects meta-analysis, with subgroup analyses for diagnosis, study length, AP type, age, concomitant medication use, and previous AP exposure. Metaregressions identified covariate effects. Data analysis was completed from October 2023 to February 2025. Main Outcomes and Measures: Primary study outcomes were changes in fasting glucose, fasting insulin, and glycated hemoglobin (HbA1c) following AP treatment. Secondary outcomes included any other glucose metabolism-related parameters including, but not limited to, insulin resistance and hyperglycemia. Results: A total of 35 952 AP-treated patients and 19 010 placebo-treated patients were included in the qualitative synthesis, while 28 975 AP-treated and 15 101 placebo-treated patients were included in the meta-analysis. AP use was associated with significantly increased fasting glucose (mean difference [MD], 0.72 mg/dL; 95% CI, 0.54-1.08 [to convert to millimoles per liter, multiply by 0.0555]; P < .001), fasting insulin (MD, 1.94 μIU/mL; 95% CI, 1.28-2.61 [to convert to picomoles per liter, multiply by 6]; P < .001), glycated hemoglobin (MD, 0.04%; 95% CI, 0.02%-0.05% [to convert to proportion of total hemoglobin, multiply by 0.01]; P < .001), and hyperglycemia (odds ratio, 1.29; 95% CI, 1.04-1.59; P = .02) vs placebo. Findings were corroborated in healthy volunteers. Subgroup analyses suggested that AP type, diagnosis, age, concomitant medication use, and previous AP exposure do not consistently affect dysglycemia risk. In metaregression analyses, AP-associated dysregulations in glucose homeostasis were independent of study length and AP dose. Conclusions and Relevance: In this systematic review and meta-analysis, results indicate that AP exposure significantly disrupts glucose homeostasis independent of exposure time, dose, diagnosis, and weight gain propensity. Increased awareness of AP-induced dysregulations in glucose homeostasis alongside ongoing metabolic monitoring and potential treatment is warranted.

Indexed as

Antipsychotic AgentsBlood GlucoseHomeostasisGlycated HemoglobinHumansWeight GainAntipsychotic AgentsBlood GlucoseGlycated Hemoglobin

Identifiers

PMID40864439
PMCPMC12392150

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.