The Diagnosis of Major Depression in Patients With Cancer: A Comparative Approach
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, o...
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| Veröffentlicht in: | Psychosomatics (Washington, D.C.) D.C.), 2006-09, Vol.47 (5), p.376-384 |
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| container_title | Psychosomatics (Washington, D.C.) |
| container_volume | 47 |
| creator | Guo, Ying Musselman, Dominique L. Manatunga, Amita K. Gilles, Natalie Lawson, Kathryn C. Porter, Maryfrances R. Stephen McDaniel, J. Nemeroff, Charles B. |
| description | 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. |
| doi_str_mv | 10.1176/appi.psy.47.5.376 |
| format | Article |
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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.</description><identifier>ISSN: 0033-3182</identifier><identifier>EISSN: 1545-7206</identifier><identifier>DOI: 10.1176/appi.psy.47.5.376</identifier><identifier>PMID: 16959925</identifier><language>eng</language><publisher>Washington, DC: Elsevier Inc</publisher><subject>Adult ; Adult and adolescent clinical studies ; Analysis of Variance ; Biological and medical sciences ; Biometry - methods ; Comorbidity ; Depression ; Depressive Disorder, Major - diagnosis ; Depressive Disorder, Major - epidemiology ; Depressive Disorder, Major - psychology ; Female ; Humans ; Male ; Medical sciences ; Middle Aged ; Mood disorders ; Neoplasms - epidemiology ; Neoplasms - psychology ; Psychiatric Status Rating Scales - statistics & numerical data ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; ROC Curve ; Sensitivity and Specificity</subject><ispartof>Psychosomatics (Washington, D.C.), 2006-09, Vol.47 (5), p.376-384</ispartof><rights>2011 The Academy of Psychosomatic Medicine</rights><rights>2006 INIST-CNRS</rights><rights>Copyright American Psychiatric Publishing, Inc. 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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.</description><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Analysis of Variance</subject><subject>Biological and medical sciences</subject><subject>Biometry - methods</subject><subject>Comorbidity</subject><subject>Depression</subject><subject>Depressive Disorder, Major - diagnosis</subject><subject>Depressive Disorder, Major - epidemiology</subject><subject>Depressive Disorder, Major - psychology</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Mood disorders</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - psychology</subject><subject>Psychiatric Status Rating Scales - statistics & numerical data</subject><subject>Psychology. Psychoanalysis. 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| subjects | Adult Adult and adolescent clinical studies Analysis of Variance Biological and medical sciences Biometry - methods Comorbidity Depression Depressive Disorder, Major - diagnosis Depressive Disorder, Major - epidemiology Depressive Disorder, Major - psychology Female Humans Male Medical sciences Middle Aged Mood disorders Neoplasms - epidemiology Neoplasms - psychology Psychiatric Status Rating Scales - statistics & numerical data Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry ROC Curve Sensitivity and Specificity |
| title | The Diagnosis of Major Depression in Patients With Cancer: A Comparative Approach |
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