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Cited by 318

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Treating Depression and Anxiety in Primary Care: Closing the Gap between Knowledge and Practice

Eisenberg, Leon·1992·New England Journal of Medicine
DOI 10.1056/nejm199204163261610
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Abstract

Depression is one of the most common and most debilitating psychiatric disorders. It is usually recognized when patients present with clear-cut psychiatric symptoms, but many depressed patients have only physical symptoms for which no biologic cause can be found, and still others have symptoms out of proportion to the severity of their medical conditions. For the most part, depression is managed by primary care physicians. Unfortunately, the psychiatric problem frequently goes unrecognized, and even when the correct diagnosis is made, most patients are under-treated and continue to suffer. Improving the recognition and management of this condition is a worthy goal. . . .

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Registry

Crossref · 10.1056/nejm199204163261610

Cites

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Metadata

Authors
Eisenberg, L.
Venue
New England Journal of Medicine
Publisher
Massachusetts Medical Society
Published
1992-04-16
Volume
326
Issue
16
Pages
1080-1084
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
DOI
10.1056/nejm199204163261610
OpenAlex
W1984410996
Cited by
318
References
33
FWCI
33.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Treating Depression and Anxiety in Primary Care: Closing the Gap between Knowledge and Practice. https://app.cochat.ai/papers/10.1056/nejm199204163261610
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Eisenberg, L. (1992). Treating Depression and Anxiety in Primary Care: Closing the Gap between Knowledge and Practice. New England Journal of Medicine. https://doi.org/10.1056/nejm199204163261610

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.