ArticleJAMA psychiatry2021
Individual Differences in Response to Antidepressants: A Meta-analysis of Placebo-Controlled Randomized Clinical Trials.
Article in JAMA psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06856161 (A Novel Blood Test as a Differential Diagnosis and Drug Efficacy Biomarker in Mental Health), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Novel Blood Test as a Differential Diagnosis and Drug Efficacy Biomarker in Mental Health
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The magnitude and variability of neurocognitive performance in first-episode psychosis: a systematic review and meta-analysis of longitudinal studies.Translational psychiatry · 2024Pooled it
- Examining the variability of neurocognitive functioning in individuals at clinical high risk for psychosis: a meta-analysis.Translational psychiatry · 2022Pooled it
- Acupuncture plus wet cupping therapy for post stroke depression: a randomized controlled trial.Frontiers in psychiatry · 2026Trial
- Response to acute monotherapy for major depressive disorder in randomized, placebo controlled trials submitted to the US Food and Drug Administration: individual participant data analysis.BMJ (Clinical research ed.) · 2022Trial
- Patients With Atypical Symptoms of Depression Respond Better to Lithium Augmentation Than Patients Without Atypical Symptoms.Acta psychiatrica Scandinavica · 2026Observational
- CYP2C19 Genotype is Associated with Citalopram Treatment Outcomes in a Real-World Setting.Clinical pharmacology and therapeutics · 2026Article
- Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity.Journal of affective disorders · 2026Article
- Data driven versus standard practice policies for personalized antidepressant treatment: a retrospective cohort study of electronic health records.BMC psychiatry · 2026Article
- Anxiety and depression in emerging adults: The STAND program as a model of scalable screening and intervention.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Exploring neurokinin-1 receptor antagonism for depression with structurally differentiated inhibitors.Experimental & molecular medicine · 2025Article
- Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers.NPJ digital medicine · 2025Article
- Antidepressant Switching as a Proxy Phenotype for Drug Nonresponse: Investigating Clinical, Demographic, and Genetic Characteristics.Biological psychiatry global open science · 2025Article
- High-performance liquid chromatography-tandem mass spectrometry for simultaneous determination of 23 antidepressants and active metabolites in human serum and its application in therapeutic drug monitoring.Frontiers in pharmacology · 2025Article
- A heterotrimeric G protein (Gsα) biomarker may predict antidepressant response in subjects with major depressive disorder.Frontiers in psychiatry · 2025Article
- Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records.Molecular psychiatry · 2024Article
- Prevalence and Factors Associated With Awareness of Precision Medicine Among Individuals With Depression and Anxiety.Cureus · 2024Article
- Cool the Inflamed Brain: A Novel Anti-inflammatory Strategy for the Treatment of Major Depressive Disorder.Current neuropharmacology · 2024Review
- Program of algorithm for pharmacological treatment of major depressive disorder in China: Benefits or not?Heliyon · 2023Article
- Major depressive disorder.Nature reviews. Disease primers · 2023Review
- Depression among Patients with an Implanted Left Ventricular Assist Device: Uncovering Pathophysiological Mechanisms and Implications for Patient Care.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Importance: Antidepressants are commonly used to treat major depressive disorder (MDD). Antidepressant outcomes can vary based on individual differences; however, it is unclear whether specific factors determine this variability or whether it is at random. Objective: To investigate the assumption of systematic variability in symptomatic response to antidepressants and to assess whether variability is associated with MDD severity, antidepressant class, or study publication year. Data Sources: Data used were updated from a network meta-analysis of treatment with licensed antidepressants in adults with MDD. The Cochrane Central Register of Controlled Trials, CINAHL, Embase, LILACS database, MEDLINE, MEDLINE In-Process, and PsycInfo were searched from inception to March 21, 2019. Additional sources were international trial registries and sponsors, drug companies and regulatory agencies' websites, and reference lists of published articles. Data were analyzed between June 8, 2020, and June 13, 2020. Study Selection: Analysis was restricted to double-blind, randomized placebo-controlled trials with depression scores available at the study's end point. Data Extraction and Synthesis: Baseline means, number of participants, end point means and SDs of total depression scores, antidepressant type, and publication year were extracted. Main Outcomes and Measures: Log SDs (bln σ̂) were derived for treatment groups (ie, antidepressant and placebo). A random-slope mixed-effects model was conducted to estimate the difference in bln σ̂ between treatment groups while controlling for end point mean. Secondary models determined whether differences in variability between groups were associated with baseline MDD severity; antidepressant class (selective serotonin reuptake inhibitors and other related drugs; serotonin and norepinephrine reuptake inhibitors; norepinephrine-dopamine reuptake inhibitors; noradrenergic agents; or other antidepressants); and publication year. Results: In the 91 eligible trials (18 965 participants), variability in response did not differ significantly between antidepressants and placebo (bln σ̂, 1.02; 95% CI, 0.99-1.05; P = .19). This finding is consistent with a range of treatment effect SDs (up to 16.10), depending on the association between the antidepressant and placebo effects. Variability was not associated with baseline MDD severity or publication year. Responses to noradrenergic agents were 11% more variable than responses to selective serotonin reuptake inhibitors (bln σ̂, 1.11; 95% CI, 1.01-1.21; P = .02). Conclusions and Relevance: Although this study cannot rule out the possibility of treatment effect heterogeneity, it does not provide empirical support for personalizing antidepressant treatment based solely on total depression scores. Future studies should explore whether individual symptom scores or biomarkers are associated with variability in response to antidepressants.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.