TY - JOUR
T1 - The diagnosis of major depression in patients with cancer
T2 - A comparative approach
AU - Guo, Ying
AU - Musselman, Dominique L.
AU - Manatunga, Amita K.
AU - Gilles, Natalie
AU - Lawson, Kathryn C.
AU - Porter, Maryfrances R.
AU - McDaniel, J. Stephen
AU - Nemeroff, Charles B.
N1 - Funding Information:
This study was supported by NIMH grants MH-49523 , MH-01399, and MH-00680 , grant DK-07298 from the National Institute of Diabetes and Digestive and Kidney Diseases , and NIH grant MO1-RR00039 .
PY - 2006/10
Y1 - 2006/10
N2 - 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.
AB - 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.
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U2 - 10.1176/appi.psy.47.5.376
DO - 10.1176/appi.psy.47.5.376
M3 - Article
C2 - 16959925
AN - SCOPUS:33749256635
VL - 47
SP - 376
EP - 384
JO - Psychosomatics
JF - Psychosomatics
SN - 0033-3182
IS - 5
ER -