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Record W4285093936 · doi:10.1136/bjsports-2022-106014

Introducing the International Confederation of Sport and Exercise Science Practice (ICSESP)

2022· editorial· en· W4285093936 on OpenAlexaff
Nathan E. Reeves, Nick Draper, Kirstin N. Lane, Francis Neric, Keith Tolfrey, Kade Davison

Bibliographic record

VenueBritish Journal of Sports Medicine · 2022
Typeeditorial
Languageen
FieldMedicine
TopicPharmacology and Obesity Treatment
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDexfenfluramineFenfluramineMedicineOverweightvalvular heart diseasePulmonary hypertensionInternal medicineDiseaseBody mass indexIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Since 1976, benfluorex has been approved in Europe as a hypolipidemic and hypoglycemic drug, and is commonly used in the treatment of the metabolic syndrome. As a derivative of fenfluramine with an appetite suppressant action, benfluorex is preferentially used in overweight patients. In contrast to fenfluramine and dexfenfluramine, to date, benfluorex has not been reported to be associated with frequent cardiovascular side-effects. The present study reports five cases of severe pulmonary arterial hypertension and one case of valvular heart disease occurring in patients exposed to benfluorex. These individuals were middle age, diabetic females with a body mass index ranging 24.2–49 kg·m−2. No definite causal effect for cardiovascular disease with benfluorex can be drawn from such case reports. However, as benfluorex, like dexfenfluramine and fenfluramine, is metabolised into active metabolite norfenfluramine, further extensive assessment of drug exposure in newly diagnosed pulmonary arterial hypertension or valvular heart disease patients is warranted.

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)0.005
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0070.005
Open science0.0020.002
Research integrity0.0130.023
Insufficient payload (model declined to judge)0.0150.018

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 head0.009
GPT teacher head0.308
Teacher spread0.299 · 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
GenreEditorial

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

Citations4
Published2022
Admission routes1
Has abstractyes

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Same venueBritish Journal of Sports MedicineSame topicPharmacology and Obesity TreatmentFrench-language works237,207