Cited by 332Schizophrenia research and treatmentHealth Promotion and Cardiovascular PreventionPsychiatric care and mental health services

Guideline concordant monitoring of metabolic risk in people treated with antipsychotic medication: systematic review and meta-analysis of screening practices

Mitchell, A. J., Delaffon, V., Vancampfort, D., Correll, C. U., De Hert, M.·2012·Psychological Medicine

Abstract

Background: Despite increased cardiometabolic risk in individuals with mental illness taking antipsychotic medication, metabolic screening practices are often incomplete or inconsistent. Method: We undertook a systematic search and a PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) meta-analysis of studies examining routine metabolic screening practices in those taking antipsychotics both for patients in psychiatric care before and following implementation of monitoring guidelines. Results: We identified 48 studies (n=290 534) conducted between 2000 and 2011 in five countries; 25 studies examined predominantly schizophrenia-spectrum disorder populations; 39 studies (n=218 940) examined routine monitoring prior to explicit guidelines; and nine studies (n=71 594) reported post-guideline monitoring. Across 39 studies, routine baseline screening was generally low and above 50% only for blood pressure [69.8%, 95% confidence interval (CI) 50.9–85.8] and triglycerides (59.9%, 95% CI 36.6–81.1). Cholesterol was measured in 41.5% (95% CI 18.0–67.3), glucose in 44.3% (95% CI 36.3–52.4) and weight in 47.9% (95% CI 32.4–63.7). Lipids and glycosylated haemoglobin (HbA1c) were monitored in less than 25%. Rates were similar for schizophrenia patients, in US and UK studies, for in-patients and out-patients. Monitoring was non-significantly higher in case-record versus database studies and in fasting samples. Following local/national guideline implementation, monitoring improved for weight (75.9%, CI 37.3–98.7), blood pressure (75.2%, 95% CI 45.6–95.5), glucose (56.1%, 95% CI 43.4–68.3) and lipids (28.9%, 95% CI 20.3–38.4). Direct head-to-head pre–post-guideline comparison showed a modest but significant (15.4%) increase in glucose testing (p=0.0045). Conclusions: In routine clinical practice, metabolic monitoring is concerningly low in people prescribed antipsychotic medication. Although guidelines can increase monitoring, most patients still do not receive adequate testing.

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Crossref · 10.1017/s003329171100105x

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Authors
Mitchell, A. J., Delaffon, V., Vancampfort, D., Correll, C. U., & De Hert, M.
Affiliations
  • University of Leicester (GB)
  • Leicester General Hospital (GB)
  • KU Leuven (BE)
  • Albert Einstein College of Medicine (US)
Corresponding author
Mitchell, A. J.
Venue
Psychological Medicine
Published
2011-08-10
Volume
42
Issue
1
Pages
125-147
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
OpenAlex
W2117209734
Cited by
332
References
122
Citations by year
2026: 11 · 2025: 8 · 2024: 12 · 2023: 7 · 2022: 10 · 2021: 26 · 2020: 25 · 2019: 25 · 2018: 19 · 2017: 31 · 2016: 26 · 2015: 38 · 2014: 31 · 2013: 29 · 2012: 27
FWCI
3.99
Type
journal article
Language
en
Open access
closed
Locations
  • Psychological Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Lirias (submittedVersion)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
  • Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
Keywords
antipsychotic drugs, metabolic screening, cardiometabolic risk, guideline adherence, schizophrenia, blood pressure monitoring, lipid monitoring, glycaemic monitoring, weight monitoring, triglycerides, cholesterol, HbA1c, psychiatric inpatients and outpatients, psychiatric comorbidity
MeSH terms
Mental Disorders, Cardiovascular Diseases, Diabetes Mellitus, Glycated Hemoglobin, Humans, Mass Screening, Risk Factors, Antipsychotic Agents, Practice Guidelines as Topic, Guideline Adherence, Metabolic Syndrome, Dyslipidemias

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