Observational studyBMC psychiatry2019
Screening four broad categories of eating disorders: suitability of a clinical algorithm adapted from the SCOFF questionnaire.
Observational study in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Association between ultraprocessed foods consumption, eating disorders, food addiction and body image: a systematic review.BMJ open · 2024Pooled it
- The use and misuse of the SCOFF screening measure over two decades: a systematic literature review.Eating and weight disorders : EWD · 2024Pooled it
- Eating disorders and eco-anxiety: exploring mental health challenges in university students.Journal of eating disorders · 2025Article
- Bayesian Graded Response Models for Eating-Disorder Risk Estimation Using Screening Data.Computational brain & behavior · 2025Article
- Translation and Adaptation of the SCOFF Questionnaire to the Greek Language (G-SCOFF) Using a Tertiary-Setting Adolescent Sample.Nutrients · 2025Article
- A 4pL item response theory examination of perceived stigma in the screening of eating disorders with the SCOFF among college students.Eating and weight disorders : EWD · 2023Article
- A population-based study of macronutrient intake according to mental health status with a focus on pure and comorbid anxiety and eating disorders.European journal of nutrition · 2022Article
- Article
- Algorithmic Assessments in Deciding on Voluntary, Assisted or Involuntary Psychiatric Treatment.Diagnostics (Basel, Switzerland) · 2022Article
- Potential Triggers for Risking the Development of Eating Disorders in Non-Clinical Higher-Education Students in Emerging Adulthood.Nutrients · 2022Article
- Obesity Pillars Roundtable: Obesity and Diversity.Obesity pillars · 2022Article
- Resilience Is Associated with Less Eating Disorder Symptoms in the NutriNet-Santé Cohort Study.International journal of environmental research and public health · 2022Article
- Mastery Is Associated With Weight Status, Food Intake, Snacking, and Eating Disorder Symptoms in the NutriNet-Santé Cohort Study.Frontiers in nutrition · 2022Article
- Article
- Sharp Increase in Eating Disorders among University Students since the COVID-19 Pandemic.Nutrients · 2021Article
- An improved method for the effect estimation of the intermediate event on the outcome based on the susceptible pre-identification.BMC medical research methodology · 2021Article
- Eating-Disordered Behavior in Adolescents: Associations with Body Image, Body Composition and Physical Activity.International journal of environmental research and public health · 2020Article
- Eating Disorders among College Students in France: Characteristics, Help-and Care-Seeking.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe evaluated the performance of a clinical algorithm (Expali™), combining two or more positive answers to SCOFF questionnaire with Body Mass Index (BMI), to identify four Broad Categories of eating disorders (ED) derived from DSM-5.
methodsThe clinical algorithm (Expali™) was developed from 104 combinations of BMI levels and answers to five SCOFF questions with at least two positive answers. Two senior ED physicians allocated each combination to one of the four Broad Categories of ED derived from DSM-5: restrictive disorder, bulimic disorder, hyperphagic disorder and other unspecified ED diagnosed by ED clinicians. The performance of Expali™ was evaluated on data from 206 patients with ED. Sensitivity, specificity values and Youden index were calculated for each category.
resultsThe 206 patients were diagnosed as follows: 31.5% restrictive disorder, 18.9% bulimic disorder, 40.8% hyperphagic disorder and 8.8% other ED. The sensitivity of Expali™ for restrictive, bulimic, hyperphagic and other unspecified ED were respectively: 76.9, 69.2, 79.7 and 16.7%. The Youden index was respectively 0.73, 0.57, 0.67 and 0.07.
conclusionsIn a SCOFF-positive ED population (at least two positive answers), the clinical algorithm Expali™ demonstrated good suitability by correctly classifying three of the four Broad Categories of eating disorders (restrictive, bulimic and hyperphagic disorder). It could be useful both to healthcare professionals and the general population to enable earlier detection and treatment of ED and to improve patient outcomes.
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