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Record W2963512787 · doi:10.1136/bjsports-2018-100196

Glucocorticoids in elite sport: current status, controversies and innovative management strategies—a narrative review

2019· review· en· W2963512787 on OpenAlexaff
Alan Vernec, Andrew Slack, Peter Harcourt, Richard Budgett, Martine Duclos, Audrey Kinahan, Katja Mjøsund, Christian J. Strasburger

Bibliographic record

VenueBritish Journal of Sports Medicine · 2019
Typereview
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsWorld Anti-Doping Agency
Fundersnot available
KeywordsLeagueEliteElite athletesPublic relationsAthletesNarrative reviewNarrativeMedicinePolitical sciencePsychologyPhysical therapyIntensive care medicineLaw

Abstract

fetched live from OpenAlex

The use of systemic glucocorticoids (GCs), as well as local injections, continues to be a controversial issue in the sport/anti-doping community. There is widespread and legitimate use of GCs for numerous health conditions, yet there are concerns about side effects and the possibility of enhanced athletic performance in limited settings. This is compounded by the uncertainty regarding the prevalence of GC use, mechanisms underlying physiological effects and complex pharmacokinetics of different formulations. While WADA continues to promote research in this complex area, some international sporting federations, major event organisers and professional sports leagues have introduced innovative rules such as needle policies, mandatory rest periods and precompetition guidelines to promote judicious use of GCs, focusing on athlete health and supervision of medical personnel. These complementary sport-specific rules are helping to ensure the appropriate use of GCs in athletes where overuse is a particular concern. Where systemic GCs are medically necessary, Therapeutic Use Exemptions (TUEs) may be granted after careful evaluation by TUE Committees based on specific and strict criteria. Continued vigilance and cooperation between physicians, scientists and anti-doping organisations is essential to ensure that GC use in sport respects not only principles of fairness and adherence to the rules but also promotes athlete health and well-being. The purpose of this narrative review is to summarise the use and management of GCs in sport illustrating several innovative programmes by sport leagues and federations.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.356
Teacher spread0.326 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations41
Published2019
Admission routes1
Has abstractyes

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