The diagnosis of major depression in patients with cancer: A comparative approach

Ying Guo; Dominique L. Musselman; Amita K. Manatunga; Natalie Gilles; Kathryn C. Lawson; Maryfrances R. Porter; J. Stephen McDaniel; Charles B. Nemeroff

doi:10.1176/appi.psy.47.5.376

The diagnosis of major depression in patients with cancer: A comparative approach

Ying Guo, Dominique L. Musselman, Amita K. Manatunga, Natalie Gilles, Kathryn C. Lawson, Maryfrances R. Porter, J. Stephen McDaniel, Charles B. Nemeroff

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

Depressive symptoms not only impair quality of life in cancer patients but constitute an independent risk factor for increased mortality. In order to accurately and efficiently identify depression in cancer patients, the authors developed a biostatistical strategy to identify items of the 21-item, observer-rated Hamilton Rating Scale for Depression (Ham-D) that would optimize the diagnosis of depression among cancer patients. Exhibiting a relatively high sensitivity and specificity, our most optimal diagnostic tool contained six Ham-D items (late insomnia, agitation, psychic anxiety, diurnal mood variation, depressed mood, and genital symptoms). This study may serve as a prototype to generate valid instruments accurate for the diagnosis of major depression in other populations of cancer patients.

Original language	English (US)
Pages (from-to)	376-384
Number of pages	9
Journal	Psychosomatics
Volume	47
Issue number	5
DOIs	https://doi.org/10.1176/appi.psy.47.5.376
State	Published - Oct 2006
Externally published	Yes

ASJC Scopus subject areas

Arts and Humanities (miscellaneous)
Applied Psychology
Psychiatry and Mental health

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The diagnosis of major depression in patients with cancer : A comparative approach. / Guo, Ying; Musselman, Dominique L.; Manatunga, Amita K.; Gilles, Natalie; Lawson, Kathryn C.; Porter, Maryfrances R.; McDaniel, J. Stephen; Nemeroff, Charles B.

In: Psychosomatics, Vol. 47, No. 5, 10.2006, p. 376-384.

Research output: Contribution to journal › Article › peer-review

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