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Cited by 216

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Course, Morbidity, and Costs of Depression

Klerman, Gerald L.·1992·Archives of General Psychiatry

Abstract

Eight independently conducted studies that were begun more than a decade ago when the morbidity of major depression, its clinical course, long-term treatment, and impact on children were unclear are reported in this issue of theArchives.1-9Using different sampling, different levels of severity of depression, different types and lengths of treatment, and patients of different ages, these studies provide an overview and replication of findings on course, morbidity, costs, and treatment of major depression. Cumulatively, the findings clearly show that depression is not ubiquitous, trivial, or transient. If the scope of outcome is broadened to include relapse, recurrence, comorbidity, chronicity, impact on family, absenteeism, and work productivity, it may not be humane, prudent, or economical to limit the identification of depression or shorten its course of treatment. This view may at first seem at variance with current efforts to reduce escalating health care costs or to manage cases.

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Crossref · 10.1001/archpsyc.1992.01820100075013

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Metadata

Authors
Klerman, G. L.
Venue
Archives of General Psychiatry
Published
1992-10-01
Volume
49
Issue
10
Pages
831
ISSN
0003-990X (ISSN-L)
OpenAlex
W2130833243
Cited by
216
References
2
FWCI
24.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Course, Morbidity, and Costs of Depression. https://app.cochat.ai/papers/10.1001/archpsyc.1992.01820100075013
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Klerman, G. L. (1992). The Course, Morbidity, and Costs of Depression. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1992.01820100075013

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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.