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Record W2135134741 · doi:10.1002/eat.20923

Challenges in conducting a multi‐site randomized clinical trial comparing treatments for adolescent anorexia nervosa

2011· article· en· W2135134741 on OpenAlexaff
James Lock, Harry Brandt, D. Blake Woodside, W. Stewart Agras, Winter Halmi, Craig Johnson, Walter H. Kaye, Denise E. Wilfley

Bibliographic record

VenueInternational Journal of Eating Disorders · 2011
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
FundersNational Institute of Mental Health
KeywordsAnorexia nervosaFluoxetinePlaceboPsychologyFamily therapyClinical trialRandomized controlled trialPsychiatryEating disordersPsychotherapistClinical psychologyMedicineInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe obstacles in the implementation of a controlled treatment trial of adolescent anorexia nervosa (AN). METHOD: The original aim was to enter 240 participants with AN to one of four cells: Behavioral family therapy (BFT) plus fluoxetine; BFT plus placebo; systems family therapy (SFT) plus fluoxetine; SFT plus placebo. RESULTS: Recruitment was delayed pending a satisfactory resolution concerning participant safety. After 6 months of recruitment it became clear that the medication was associated with poor recruitment leading to a study redesign resulting in a comparison of two types of family therapy with a projected sample size of 160. One site was unable to recruit and was replaced. DISCUSSION: Problems with the delineation of safety procedures, recruitment, re-design of the study, and replacement of a site, were the main elements resulting in a 1-year delay. Suggestions are made for overcoming such problems in future AN trials.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.487
metaresearch head score (Gemma)0.320
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score0.633

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4870.320
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0050.005
Open science0.0040.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.390
GPT teacher head0.468
Teacher spread0.078 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
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

Citations42
Published2011
Admission routes1
Has abstractyes

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