ArticleJournal of eating disorders2021
Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data.
Article in Journal of eating disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 48 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.
Feasibility of Network-Informed Personalized Treatment for Eating Disorders
Personalizing Disordered Eating Treatment Using Mobile Technology: Self-Guided, Personalized Treatment for Women
Innovations in Personalizing Treatment for Eating Disorders Using Idiographic Methods and the Impact of Personalization on Psychological, Physical, and Sociodemographic Outcomes
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.
- Music-based interventions in the treatment of eating disorders: a scoping review.Frontiers in psychiatry · 2025Pooled it
- Network-based methods for psychometric data of eating disorders: A systematic review.PloS one · 2022Pooled it
- A pilot randomized controlled trial of transdiagnostic network-informed personalized treatment for eating disorders versus enhanced cognitive behavioral therapy.The International journal of eating disorders · 2023Trial
- Leveraging artificial intelligence to personalize treatment for eating disorders: A proof-of-concept study.Journal of affective disorders · 2026Article
- Gamified Assessment of Cognitive Impulsivity in Eating Disorders and Mental Ill-Health: Mixed Methods Study Incorporating Lived Experience Co-Design and Evaluation.JMIR serious games · 2026Article
- Understanding experiences of psychedelic treatments for eating disorders: a meta-synthesis of qualitative studies.BMC medicine · 2026Review
- Clinical guidance for the use of nasogastric tube feeding under restraint in eating disorders care: a systematic scoping review.Journal of eating disorders · 2026Review
- Bidirectional temporal relationships between emotional state and eating across eating disorders: a network approach.Journal of eating disorders · 2026Article
- From promise to practice: showcasing the perceived clinical utility of idiographic networks for eating disorders with complex post-traumatic sequelae.Journal of eating disorders · 2026Article
- Profiling decision-making mechanisms in binge eating disorder.Journal of eating disorders · 2026Article
- A methodological proof-of-concept of a data-driven, personalized, blended digital health intervention for suicidal thoughts and behaviors: A case series.Internet interventions · 2026Article
- The Burden of Intersecting Internalized Homophobia and Internalized HIV Stigma Can Exacerbate Depression Symptoms Among Gay Men Living with HIV in Türkiye.Archives of sexual behavior · 2026Article
- Mental Health Professionals' Attitudes Towards the Network Theory of Mental Disorders.Clinical psychology in Europe · 2026Article
- Personal causal modeling of affect and eating behaviors in bulimia nervosa: implications for personalized treatment.Journal of eating disorders · 2026Article
- Eating disorder symptoms and corresponding evidence-based treatments: a narrative review.Journal of eating disorders · 2026Review
- Examining the utility of process-focused data driven psychological networks for individualizing psychological treatment in chronic pain-A single case experiment testing the centrality hypothesis.Frontiers in psychology · 2026Article
- Personalized models of eating disorder symptoms and suicide risk in anorexia nervosa spectrum disorders: protocol for a longitudinal, passive-sensing study.BMC psychology · 2025Article
- Dynamic Time Warp (DTW) as a scalable, data-efficient, and clinically relevant analysis of dynamic processes in patients with psychiatric disorders: a tutorial.Journal of eating disorders · 2025Article
- Ecological Momentary Assessment in Eating Disorders Research: A Qualitative Examination of Participant Experience and Recommendations for Future Studies.The International journal of eating disorders · 2025Article
- Emotion dysregulation and eating disorder symptoms: a network analysis in college students with subclinical eating disorders.Journal of eating disorders · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundEating disorders (EDs) are severe mental illnesses, with high morbidity, mortality, and societal burden. EDs are extremely heterogenous, and only 50% of patients currently respond to first-line treatments. Personalized and effective treatments for EDs are drastically needed.
methodsThe current study (N = 34 participants with an ED diagnosis collected throughout the United States) aimed to investigate best methods informing how to select personalized treatment targets utilizing idiographic network analysis, which could then be used for evidence based personalized treatment development. We present initial data collected via experience sampling (i.e., ecological momentary assessment) over the course of 15 days, 5 times a day (75 total measurement points) that were used to select treatment targets for a personalized treatment for EDs.
resultsOverall, we found that treatment targets were highly variable, with less than 50% of individuals endorsing central symptoms related to weight and shape, consistent with current treatment response rates for treatments designed to target those symptoms. We also found that different aspects of selection methods (e.g., number of items, type of centrality measure) impacted treatment target selection.
conclusionsWe discuss implications of these data, how to use idiographic network analysis to personalize treatment, and identify areas that need future research.
trial registrationClinicaltrials.gov, NCT04183894. Registered 3 December 2019-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04183894 . NCT04183894 (ClinicalTrials.gov identifier).
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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.