ArticleJournal of eating disorders2026
From promise to practice: showcasing the perceived clinical utility of idiographic networks for eating disorders with complex post-traumatic sequelae.
Article in Journal of eating disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02649114 (Treatment of Eating Disorders With and Without Childhood Trauma), which is not on this map. Not yet cited in PubMed.
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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
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Treatment of Eating Disorders With and Without Childhood Trauma: A Randomized Controlled Trial
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Authors and funding
6 authors.
Funding
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Abstract
backgroundEating Disorders (EDs) are highly heterogeneous and often comorbid conditions that likely contribute to the suboptimal recovery rates achieved with manualized treatments. EDs with complex Post-Traumatic Stress Disorder (cPTSD) are particularly challenging, as these disorders may reinforce one another. Compassion-Focused Therapy for EDs (CFT-E) recently showed optimistic long-term efficacy in a randomized controlled trial (RCT) for EDs with cPTSD; however, the individual pathways to change vary, even within the ED-cPTSD subgroup. One method for tailoring treatment to the individual is through idiographic symptom networks from longitudinal data. However, it is to date indefinite how personalized networks can be clinically applied to the treatment of ED-cPTSD.
aimWe aim to discuss the perceived clinical utility and implications of personalized networks in routine clinical care for patients with ED-CPTSD.
methodsThis perspective paper presents a case series illustrating the use of personalized network dynamics based on data from five female inpatients receiving CFT-E in an RCT. We examined 13 symptom trajectories, resulting in individual network visualizations that highlight closely aligned symptom trajectories over time.
resultsThe five personalized networks showed substantial heterogeneity in symptom dynamics, with each patient displaying a distinct pattern of central symptoms, ranging from tightly interconnected affect-avoidance clusters to more differentiated networks. DISCUSSION: The clinical value of personalized networks lies in their systematic and efficient approach; however, their methodological, translational, and technical challenges, as well as their capacity to capture the complexity of individual therapeutic processes and predictive utility in clinical practice require further investigation in naturalistic settings.
trial registrationClinical Trials: NCT02649114.
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