کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6801095 | 542936 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Depression symptom clusters and their predictive value for treatment outcomes: Results from an individual patient data meta-analysis of duloxetine trials
ترجمه فارسی عنوان
خوشه های علائم افسردگی و ارزش پیش بینی کننده آنها برای نتایج درمان: نتایج حاصل از متاآنالیز داده های فردی داده ها در آزمایشات دووکسکتین
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
چکیده انگلیسی
Five clusters were identified at baseline: 1) “Lack of insight”; 2) “Sleep/sexual/somatic”; 3) “Typical MDD”; 4) “Gastrointestinal/weight loss”; and 5) “Mild MDD”. However, it should be noted that cluster descriptors are not mutually exclusive. Analyses of the HAMD-17 total score results over time were performed using the 18 randomized placebo and/or actively controlled studies representing 6723 patients. At the end of acute treatment (ranging from 4 to 36 weeks), different levels of effect sizes for active therapy (64.5% duloxetine) vs. placebo were detected by cluster. In 3 out of 5 clusters (representing about 80% of the patients), the effect size was significantly different from 0, in favor of active therapy. The effect size was largest in those clusters with severe somatic symptoms (“Sleep/sexual/somatic” cluster [â0.4170], and “Gastrointestinal/weight loss” cluster [â0.338]). In conclusion, our cluster analysis identified 5 clinically relevant MDD patient clusters with specific mean treatment outcomes. Identification of MDD clusters may help to improve outcomes by adapting MDD treatment to particular clinical profiles.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Psychiatric Research - Volume 53, June 2014, Pages 54-61
Journal: Journal of Psychiatric Research - Volume 53, June 2014, Pages 54-61
نویسندگان
Alexander Schacht, Philip Gorwood, Philip Boyce, Ayal Schaffer, Hernan Picard,