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Record W4243728106 · doi:10.1002/cpu.30178

Shire announces new update to BED medication labeling

2016· article· en· W4243728106 on OpenAlexaboutno aff

Bibliographic record

VenueThe Brown University Child & Adolescent Psychopharmacology Update · 2016
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsShireNeuropsychopharmacologyFood and drug administrationPsychiatryBinge-eating disorderMedicinePsychologyEating disordersBulimia nervosaPharmacologyHistory

Abstract

fetched live from OpenAlex

Vyvanse (lisdexamfetamine dimesylate) labeling has been updated to include information regarding the approval of a supplemental New Drug Application by the Food and Drug Administration (FDA). The labeling will now include maintenance of efficacy data from the first‐ever longer‐term pharmacologic study (38 weeks) in adults with moderate‐to‐severe binge eating disorder (BED), Shire officials announced. The data were presented at a few medical conferences including the Eating Disorders Association of Canada in September, and during the American College of Neuropsychopharmacology Annual Meeting a year ago. The updated labeling is based on a long‐term study showing that adults with moderate‐to‐severe BED who responded to Vyvanse were much more likely to stay in remission than if they stayed on placebo, Susan L. McElroy, M.D., professor of psychiatry and behavioral neuroscience at the University of Cincinnati College of Medicine, told CPU.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0400.020

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 head0.285
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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