Evidence map›Paper›PMID 22712004›Full record

ArticleCurrent psychiatry reviews2012

Systematic Review and Meta-analysis of Pharmacological Interventions for Weight Gain from Antipsychotics and Mood Stabilizers.

Jess G Fiedorowicz, Del D Miller, Jeffrey R Bishop, Chadi A Calarge, Vicki L Ellingrod, William G Haynes

Open access · greenAbstract read
In one paragraph

Article in Current psychiatry reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  15. Cardiometabolic effects of psychotropic medications.Hormone molecular biology and clinical investigation · 2018
    Review
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  20. Rapid adipose deposition with mood disorders.Annals of clinical psychiatry : official journal of the American Academy of Clinical Psychiatrists · 2015
    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

6 authors at 3 institutions in 1 country.

Jess G FiedorowiczDepartment of Psychiatry, Roy J. and Lucille A. Carver College of Medicine, The University of Iowa, 200 Hawkins Drive, Iowa City, Iowa, 52242.
Del D Miller
Jeffrey R Bishop
Chadi A Calarge
Vicki L Ellingrod
William G Haynes
University of Illinois Chicago · USUniversity of Iowa · USUniversity of Michigan–Ann Arbor · US

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
VASOPRESSIN IN CARDIOVASCULAR REGULATIONP01HL014388 · NHLBI · UNIVERSITY OF IOWA · PI CHAPLEAU, MARK W · 1985 to 2018
$40.3M
UNIVERSITY OF IOWA CTSA FOR PEDIATRIC RESEARCHUL1RR024979 · NCRR · UNIVERSITY OF IOWA · PI ROSENTHAL, GARY E · 2007 to 2011
$31.8M
Serotonin Reuptake Inhibitors and Bone Mineralization in AdolescentsR01MH090072 · NIMH · UNIVERSITY OF IOWA · PI CALARGE, CHADI A. · 2010 to 2014
$3.2M
Schizophrenia Pharmacogenetics: cognition and symptom response to antipsychoticsK08MH083888 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BISHOP, JEFFREY R · 2009 to 2013
$899k
Antipsychotics and Vascular Function in Bipolar DisordersK23MH083695 · NIMH · UNIVERSITY OF IOWA · PI FIEDOROWICZ, JESS G · 2010 to 2014
$869k
Counteracting Risperidone-Induced Hyperprolactinemia in YouthsK23MH085005 · NIMH · UNIVERSITY OF IOWA · PI CALARGE, CHADI A. · 2009 to 2013
$866k
Long-Term Safety and Genetic Risk Factors of Risperdone Treatment in YouthR21MH080968 · NIMH · UNIVERSITY OF IOWA · PI CALARGE, CHADI A. · 2008 to 2010
$400k
NCRR NIH HHS UL1 RR024979NCRR NIH HHS UL1 RR024986NHLBI NIH HHS P01 HL014388NIMH NIH HHS K08 MH083888NIMH NIH HHS K23 MH083695NIMH NIH HHS K23 MH085005NIMH NIH HHS R01 MH090072NIMH NIH HHS R21 MH080968
6 · The paper itself

Abstract

Pharmacological treatments for serious mental illness (SMI) can cause weight gain and adverse metabolic effects. Many second generation antipsychotics and mood stabilizers appear to be particularly problematic in this regard. Several studies have investigated interventions for antipsychotic-induced, or less commonly mood stabilizer -induced, weight gain. Both lifestyle and pharmacological interventions have demonstrated effectiveness. We systematically review randomized controlled trials of pharmacological interventions for weight gain related to these medications. We conducted a meta-analysis of clinical trials for the most studied agents to estimate mean weight loss: metformin (2.93 kg, 95% C.I. 0.97-4.89, p=0.003), H(2) antagonists (1.78 kg (95% C.I. -0.50-4.06, p=0.13), topiramate (3.95 kg 95% C.I. 1.77-6.12, p=0.0004), and norepinephrine reuptake inhibitors (1.30 kg (95% C.I. -0.06-2.66, p=0.06). Among the studied options for antipsychotic-related weight gain, metformin has the strongest evidence base and may improve vascular risk factors beyond obesity. The use of topiramate is also supported by the literature and may improve psychotic symptoms in those refractory to treatment. A marginal benefit is seen with norepinephrine reuptake inhibitors, and any vascular benefits from such weight loss may be counteracted by increases in blood pressure or heart rate. Pharmacological therapies may offer benefits as a means of supplementing the effects of lifestyle changes for weight loss. However, the existing evidence provides little evidence of specificity for pharmacological therapies to antipsychotic-induced weight gain and has not studied any connection between benefits and reduced incidence of diabetes mellitus or any vascular outcomes.

Identifiers

PMID22712004
PMCPMC3375952
OpenAlexW2145456604

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.