ArticleFrontiers in psychiatry2023
Predictors of treatment dropout in patients with posttraumatic stress disorder due to childhood abuse.
Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Exploring study dropout in drug trials for adults with PTSD: insights from a conventional and individual participant data meta-analysis.European journal of psychotraumatology · 2025Pooled it
- Clay field therapy for complex PTSD: a single-case study with HRV measurement.Frontiers in psychiatry · 2026Article
- Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment.European journal of psychotraumatology · 2025Article
- Dropout From Trauma-Focused Treatment for PTSD in a Naturalistic Setting.Clinical psychology in Europe · 2025Article
- Personal Narratives in Trauma-Related Disorders: Contributions from a Metacognitive Approach and Treatment Considerations.Behavioral sciences (Basel, Switzerland) · 2025Review
- The Trauma PORTAL-A Blended e-Health Intervention for Survivors of Childhood Interpersonal Trauma: An Open-Label Pilot Study.Telemedicine reports · 2024Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Knowledge about patient characteristics predicting treatment dropout for post-traumatic stress disorder (PTSD) is scarce, whereas more understanding about this topic may give direction to address this important issue. Method: Data were obtained from a randomized controlled trial in which a phase-based treatment condition (Eye Movement Desensitization and Reprocessing [EMDR] therapy preceded by Skills Training in Affect and Interpersonal Regulation [STAIR]; Results: For the dropout prediction, a model was developed using Elastic Net Regularization. The ENR model correctly predicted dropout in 81.6% of all individuals. Males, with a low education level, suicidal thoughts, problems in emotion regulation, high levels of general psychopathology and not using benzodiazepine medication at screening proved to have higher scores on dropout. Conclusion: Our results provide directions for the development of future programs in addition to PTSD treatment or for the adaptation of current treatments, aiming to reduce treatment dropout among patients with PTSD due to childhood abuse.
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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.