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Record W4411015676 · doi:10.1016/j.psycom.2025.100217

The relationship between duration of untreated symptoms and clinical outcomes in first episode eating disorders

2025· article· en· W4411015676 on OpenAlexafffund
Amelia Austin, Michaela Flynn, Katie Richards, Karina Allen, Victoria Mountford, Danielle Glennon, Amy Brown, Nina Grant, Mary Franklin‐Smith, Monique Schelhase, William Rhys Jones, Gabrielle Brady, Lucy Serpell, Ulrike Schmidt

Bibliographic record

VenuePsychiatry Research Communications · 2025
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Calgary
FundersNIHR Imperial Biomedical Research CentreMedical Research CouncilArts and Humanities Research CouncilCumming School of Medicine, University of CalgaryKing's College LondonHealth FoundationNational Institute for Health and Care ResearchDepartment of Health and Social CareEconomic and Social Research CouncilNIHR Maudsley Biomedical Research CentreSouth London and Maudsley NHS Foundation Trust
KeywordsEating disordersDuration (music)MedicinePsychologyClinical psychologyPsychiatryInternal medicineArt

Abstract

fetched live from OpenAlex

: The relationship between duration of untreated symptoms and clinical outcomes in eating disorders (EDs) is not fully understood. We explored whether the duration of prodrome (DOP) or duration of untreated eating disorder (DUED) impacts clinical outcomes. Emerging adults ( N =236) aged 16-25 years, with an early-stage ED were recruited at the outset of treatment, completing a semi-structured interview to establish DOP and DUED. Clinical outcomes were measured at baseline and 12-months. DUED was positively correlated with binge eating ( r s =.236, p <.001) and vomiting ( r s =.131, p =.047) at baseline, and negatively correlated with BMI for anorexia nervosa at follow-up ( r s [58]=-.26, p =.038). After subsequent regression analysis, the only significant finding was DUED as a predictor of the presence of binge eating at baseline. Future studies should examine symptom duration in more diverse samples.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.129
GPT teacher head0.494
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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