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Record W2062057222 · doi:10.1002/eat.10246

Randomized controlled trial of warming in anorexia nervosa

2004· article· en· W2062057222 on OpenAlexaff
C. Laird Birmingham, Emilio Gutiérrez, Lee Jonat, Peter Beumont

Bibliographic record

VenueInternational Journal of Eating Disorders · 2004
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsAnorexia nervosaRandomized controlled trialBody mass indexMedicineWeight gainAnorexiaPhysical therapyEating disordersPsychologyBody weightPediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine if warming therapy increases the rate of weight gain in patients with anorexia nervosa (AN) who are hospitalized for refeeding. METHOD: Patients admitted to an eating disorders unit of a university teaching hospital were randomized to treatment and control arms. All patients wore a heating vest for 3 hr a day for 21 days. In the experimental arm, the vest was set to medium heat and in the control arm it was set in the off position. RESULTS: Twenty-one females were recruited. They had an average age of 28.4 +/- 6.6 years, a body mass index (BMI) of 17.7 +/- 2.8, and the duration of AN lasted 13.6 +/- 6.7 years. Ten subjects were randomized to the treatment arm and 11 to the control arm. Of the 18 completers, there was no difference in the change in BMI. DISCUSSION: Our study did not demonstrate an increase in the rate of weight gain with warming.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.335
Teacher spread0.320 · 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 designRandomized trial
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

Citations55
Published2004
Admission routes1
Has abstractyes

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