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Cited by 257

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Evidence Report on the Occurrence, Assessment, and Treatment of Depression in Cancer Patients

Open access
Pirl, W. F.·2004·Journal of the National Cancer Institute Monographs

Abstract

This evidence-based report reviews the empiric literature on depression in people with cancer with a focus on three areas: occurrence, assessment, and treatment. More than 350 studies were identified through searches of the English-language literature published between 1966 and September 2001. Reports of occurrence are limited to prevalence studies, and prevalence rates vary widely despite standardized assessments. Rates of major depressive disorder and depressive symptoms comorbid with cancer appear to be 10%-25%. Although multiple instruments are available for assessing depressive symptoms, a clinical interview using Diagnostic and Statistical Manual of Mental Disorders criteria is the standard to which assessments are compared. Some data exist for the efficacy of psychosocial and pharmacologic treatments for depression in this population. No randomized, controlled studies of alternative medicine interventions were identified.

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Crossref · 10.1093/jncimonographs/lgh026

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Metadata

Authors
Pirl, W. F.
Venue
Journal of the National Cancer Institute Monographs
Published
2004-07-01
Volume
2004
Issue
32
Pages
32-39
ISSN
1052-6773 (ISSN-L)
OpenAlex
W2154178653
Cited by
257
References
52
FWCI
4.26
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Evidence Report on the Occurrence, Assessment, and Treatment of Depression in Cancer Patients. https://app.cochat.ai/papers/10.1093/jncimonographs/lgh026
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Pirl, W. F. (2004). Evidence Report on the Occurrence, Assessment, and Treatment of Depression in Cancer Patients. Journal of the National Cancer Institute Monographs. https://doi.org/10.1093/jncimonographs/lgh026

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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.