ReviewEuropean archives of psychiatry and clinical neuroscience2023
Predicting treatment outcome in depression: an introduction into current concepts and challenges.
Review in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Machine learning approaches in the therapeutic outcome prediction in major depressive disorder: a systematic review.Frontiers in psychiatry · 2025Pooled it
- A Longitudinal Study on Predicting Treatment Response in Depression Using Self-Reported Symptoms.Journal of Korean medical science · 2026Article
- Predictors of depression outcomes among university students following brief smartphone-based interventions.Npj mental health research · 2026Article
- Ingredients for Success: What Clients and Informal Caregivers Value in Depression Treatment A Concept Mapping Study.Journal of clinical psychology · 2026Article
- Heterogeneity of brain functional connectivity, transcriptome, and neurotransmitter profiles in major depressive disorder.Psychological medicine · 2025Article
- Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication.JAMA network open · 2025Article
- Anticipating depression trajectories by measuring plasticity and change through symptom network dynamics.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers.NPJ digital medicine · 2025Article
- The Association Between Childhood Trauma and Selective Serotonin Reuptake Inhibitor Treatment Outcomes in Adult Patients With Major Depressive Disorder.Psychiatry investigation · 2025Article
- Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation.Biomedicines · 2025Article
- Sensitive Detection of Kynurenic Acid from Biological Fluids Using a Flexible Electrochemical Platform Based on Gold Nanoparticles and Reduced Graphene Oxide.International journal of molecular sciences · 2025Article
- Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group.Human brain mapping · 2025Article
- Simulated virtual reality experiences for predicting early treatment response in panic disorder.Frontiers in digital health · 2025Article
- A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Predicting the outcome of psychotherapy for chronic depression by person-specific symptom networks.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- Neural signatures of emotional biases predict clinical outcomes in difficult-to-treat depression.Research directions. Depression · 2024Article
- The Psychedelic Future of Post-Traumatic Stress Disorder Treatment.Current neuropharmacology · 2024Review
- Predictors of short-term response and the role of heavy alcohol use in treatment of depression.BMC psychiatry · 2023Article
- Major depressive disorder.Nature reviews. Disease primers · 2023Review
- Prediction of remission among patients with a major depressive disorder based on the resting-state functional connectivity of emotion regulation networks.Translational psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Improving response and remission rates in major depressive disorder (MDD) remains an important challenge. Matching patients to the treatment they will most likely respond to should be the ultimate goal. Even though numerous studies have investigated patient-specific indicators of treatment efficacy, no (bio)markers or empirical tests for use in clinical practice have resulted as of now. Therefore, clinical decisions regarding the treatment of MDD still have to be made on the basis of questionnaire- or interview-based assessments and general guidelines without the support of a (laboratory) test. We conducted a narrative review of current approaches to characterize and predict outcome to pharmacological treatments in MDD. We particularly focused on findings from newer computational studies using machine learning and on the resulting implementation into clinical decision support systems. The main issues seem to rest upon the unavailability of robust predictive variables and the lacking application of empirical findings and predictive models in clinical practice. We outline several challenges that need to be tackled on different stages of the translational process, from current concepts and definitions to generalizable prediction models and their successful implementation into digital support systems. By bridging the addressed gaps in translational psychiatric research, advances in data quantity and new technologies may enable the next steps toward precision psychiatry.
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What OpenQuestion holds
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.