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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 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)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.281
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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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