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Updated: May 25, 2026

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model
Published on: June 6, 2025
Problems in determining efficacy and effectiveness of antidepressants
1Chairman of the Department of Psychiatry, Ludwig-Maximilians-University Munich, Munich, Germany.
Antidepressant efficacy in treating depression is debated, but responder/remitter analysis shows moderate to strong effectiveness, with a number needed to treat (NNT) of 5-7, comparable to other standard therapies.
Area of Science:
- Psychiatry and Clinical Psychopharmacology
- Evidence-Based Medicine
Background:
- Antidepressants are central to depression treatment, yet recent meta-analyses question their clinical relevance.
- Some propose alternative therapies over antidepressants, overlooking methodological limitations.
Purpose of the Study:
- To evaluate the clinical relevance of antidepressant efficacy in depression treatment.
- To address the debate surrounding antidepressant effectiveness versus alternative therapies.
Main Methods:
- Analysis of meta-analytic studies on antidepressant efficacy.
- Examination of Hamilton Depression Rating Scale (HAM-D) differences between placebo and verum groups.
- Responder/remitter analysis to determine the number needed to treat (NNT).
Main Results:
- The mean placebo-verum difference in HAM-D scores is typically 2-3 points.
- Responder/remitter analysis yields an NNT of 5-7, indicating moderate to strong efficacy.
- This NNT is comparable to established therapies in internal medicine.
Conclusions:
- Despite statistical debates, antidepressants demonstrate clinically relevant efficacy.
- Responder/remitter analysis provides a more robust measure of clinical effectiveness than simple score differences.
- Applying health economy concepts may obscure clinical interpretation of antidepressant effectiveness.
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