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Record W2164000444 · doi:10.1136/bjsports-2011-090194

Suppression of information on the prevalence and prevention of exercise-associated hyponatraemia

2011· article· en· W2164000444 on OpenAlexaff
Roy J. Shephard

Bibliographic record

VenueBritish Journal of Sports Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSports medicinePublic relationsEnvironmental healthBusinessIntensive care medicineFamily medicinePhysical therapyPolitical science

Abstract

fetched live from OpenAlex

It has been suggested recently that financial links between manufacturers of sports drinks and professional Sports Science organisations in North America have suppressed information on the existence and ways of preventing an epidemic of exercise-associated hyponatraemia (EAH). This article reviews evidence for the prevalence of both biochemical and clinical hyponatraemia. It concludes that a limited number of cases of EAH occur after ultra-long distance events, particularly when performed under cold and wet conditions, and that some eight deaths have been associated with EAH since 1985. However, this information has been widely reported, both in North America and in other parts of the world. Claims of an 'epidemic' seem unwarranted, and there is no solid evidence supporting the claim that information has been suppressed because of ties between sports scientists and sports drink manufacturers.

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)0.015
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.066
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.027
GPT teacher head0.263
Teacher spread0.237 · 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.

Study designObservational
DomainReporting
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

Citations8
Published2011
Admission routes1
Has abstractyes

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