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Cited by 174

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Metformin for Weight Loss in Pediatric Patients Taking Psychotropic Drugs

Morrison, John A., Cottingham, Elizabeth M., Barton, Bruce A.·2002·American Journal of Psychiatry

Abstract

OBJECTIVE: Metformin was assessed as a treatment for weight gain in children taking olanzapine, risperidone, quetiapine, or valproate. METHOD: The subjects were 19 patients aged 10-18 years; 15 were white and four were black, and there were 12 boys and seven girls. In a 12-week open-label study, each patient received metformin, 500 mg t.i.d. Changes in weight and body mass index were evaluated by using repeated measures analysis of variance. RESULTS: Of the 19 patients, 15 lost weight, three gained 1.6 kg or less, and one had no change. The mean changes in weight and body mass index at 12 weeks were highly significant. CONCLUSIONS: Metformin merits further study as a treatment for weight gain in patients taking psychotropic medications.

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Crossref · 10.1176/appi.ajp.159.4.655

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Metadata

Authors
Morrison, J. A., Cottingham, E. M., & Barton, B. A.
Venue
American Journal of Psychiatry
Published
2002-04-01
Volume
159
Issue
4
Pages
655-657
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2168416377
Cited by
174
References
3
FWCI
7.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metformin for Weight Loss in Pediatric Patients Taking Psychotropic Drugs. https://app.cochat.ai/papers/10.1176/appi.ajp.159.4.655
The paper
Morrison, J. A., Cottingham, E. M., & Barton, B. A. (2002). Metformin for Weight Loss in Pediatric Patients Taking Psychotropic Drugs. American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.159.4.655

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.