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Record W2582949731 · doi:10.1002/jcph.868

Preliminary Evidence for the Off-Label Treatment of Bulimia Nervosa With Psychostimulants: Six Case Reports

2017· article· en· W2582949731 on OpenAlexaff
Aaron Keshen, Thomas Helson

Bibliographic record

VenueThe Journal of Clinical Pharmacology · 2017
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsBulimia nervosaBinge eatingPsychiatryAnorexia nervosaBody mass indexPsychologyEating disordersAppetiteBinge-eating disorderMedicineInternal medicine

Abstract

fetched live from OpenAlex

Psychostimulants have been assessed in bulimia nervosa patients with comorbid attention deficit/hyperactivity disorder (ADHD), but few studies have examined the impact of psychostimulants on bulimia nervosa patients without comorbid ADHD. The aim of this study was to examine psychostimulants as a potential treatment for bulimia nervosa and to assess the concern of weight loss, given the medication's appetite-suppressing effects. This retrospective study describes 6 case reports of outpatients who were prescribed a psychostimulant specifically for their bulimia nervosa. The number of binge/purge days per months and body mass index were assessed. All patients demonstrated reductions in the number of binge/purge days per month, and 1 patient experienced total remission of bulimic symptoms. Minor fluctuations in weight were observed, but no clinically significant reductions in weight were noted. These findings support the need for clinical trials to examine the efficacy and safety of this potential treatment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.281
GPT teacher head0.556
Teacher spread0.275 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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