4.7 Review

The contribution of depressive 'disorder characteristics' to determinations of prognosis for adults with depression: an individual patient data meta-analysis

期刊

PSYCHOLOGICAL MEDICINE
卷 51, 期 7, 页码 1068-1081

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291721001367

关键词

Depression; individual patient data meta-analysis; prognosis; systematic review; treatment outcome

资金

  1. Wellcome Trust [201292/Z/16/Z]
  2. Medical Research Council [MC_UU_12023/21]
  3. MQ Foundation [MQDS16/72]
  4. Higher Education Funding Council for England
  5. National Institute of Health Research (NIHR)
  6. NIHR University College London Hospitals Biomedical Research Centre
  7. NIHR Biomedical Research Centre at the University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol
  8. University College London
  9. University of Pennsylvania
  10. Vanderbilt University
  11. University of Southampton
  12. University of Exeter
  13. University of York
  14. Wellcome Trust [201292/Z/16/Z] Funding Source: Wellcome Trust

向作者/读者索取更多资源

This study investigated general factors associated with prognosis for adults with depression in primary care, revealing that factors such as duration of anxiety and depression, comorbid panic disorder, and history of antidepressant treatment are independently associated with poorer prognosis, providing clinicians and patients with valuable information for prognosis and clinical management of depression.
Background This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. Methods We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted. Results Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3-4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3-4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions. Conclusions When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression.

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