Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis

de Vries Ymkje Anna; Roest Annelieke M.; Bos Elisabeth H.; Burgerhof Johannes G. M.; van Loo Hanna M.; de Jonge Peter

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Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis

机译：通过监测抑郁症个体症状的早期改善来预测抗抑郁作用：个体患者数据META分析

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Background

机译：背景

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来源
《The British journal of psychiatry :》 |2019年第1期|共7页
作者
de Vries Ymkje Anna; Roest Annelieke M.; Bos Elisabeth H.; Burgerhof Johannes G. M.; van Loo Hanna M.; de Jonge Peter;
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作者单位

Univ Groningen Univ Med Ctr Groningen Interdisciplinary Ctr Psychopathol &

Emot Regulat Dept;

Univ Groningen Univ Med Ctr Groningen Interdisciplinary Ctr Psychopathol &

Emot Regulat Dept;

Univ Groningen Univ Med Ctr Groningen Interdisciplinary Ctr Psychopathol &

Emot Regulat Dept;

Univ Groningen Univ Med Ctr Groningen Dept Epidemiol Groningen Netherlands;

Univ Groningen Univ Med Ctr Groningen Interdisciplinary Ctr Psychopathol &

Emot Regulat Dept;

Univ Groningen Univ Med Ctr Groningen Interdisciplinary Ctr Psychopathol &

Emot Regulat Dept;

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原文格式 PDF
正文语种 eng
中图分类精神病学;
关键词
Antidepressants; depression; early improvement; treatment response; individual patient data meta-analysis;

机译：抗抑郁药;抑郁症;早期改善;治疗响应;个体患者数据META分析;

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1. Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis [J] . de Vries Ymkje Anna, Roest Annelieke M., Bos Elisabeth H., The British journal of psychiatry : . 2019,第1期

机译：通过监测抑郁症个体症状的早期改善来预测抗抑郁作用：个体患者数据META分析
2. Depression symptom clusters and their predictive value for treatment outcomes: Results from an individual patient data meta-analysis of duloxetine trials [J] . SchachtA., GorwoodP., BoyceP., Journal of psychiatric research . 2014,第Null期

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3. Self-monitoring of blood pressure in patients with multi-morbidity (BP-SMART-MM- Blood Pressure Self-Monitoring individual patient meta-Analysis of pRevious Trials: sub-group analyses in a Multi-Morbid population): an individual patient data meta-analysis [J] . Sheppard James P., Tucker Katherine, Stevens Richard, Journal of human hypertension . 2016,第10期

机译：多种疾病患者的血压自我监测（BP-SMART-MM-血压自我监测个体患者荟萃pRevious试验分析：多病态人群中的亚组分析）：个体患者数据荟萃-分析
4. Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients [C] . Andrzej W. Przybyszewski, Mark Kon, Stanislaw Szlufik, Mexican international conference on artificial intelligence . 2014

机译：基于反射性眼球运动的数据挖掘和机器学习可以预测帕金森病患者的症状发展
5. Antidepressant-associated Sexual Dysfunction in Patients with Depression: A Meta-analysis of Sexual Functioning Data Collected via Prospective Questionnaires [D] . Jacobsen, Paula Louise. 2018

机译：抑郁症患者的抗抑郁相关性功能障碍：通过前瞻性问卷收集的性功能数据的荟萃分析
6. The symptom‐specific efficacy of antidepressant medication vs. cognitive behavioral therapy in the treatment of depression: results from an individual patient data meta‐analysis [O] . Lynn Boschloo, Ella Bekhuis, Erica S. Weitz, 2019

机译：抗抑郁药相对于认知行为疗法在抑郁症治疗中的症状特异性功效：来自个别患者数据的荟萃分析
7. The symptom‐specific efficacy of antidepressant medication vs. cognitive behavioral therapy in the treatment of depression: results from an individual patient data meta‐analysis [O] . Lynn Boschloo, Ella Bekhuis, Erica S. Weitz, 2019

机译：抗抑郁药物的症状特异性疗效与认知行为治疗治疗抑郁症治疗：各个患者数据META分析的结果

Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis

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