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Record W2079186357 · doi:10.1097/paf.0b013e318187dfcd

Sudden Death and Sickle Cell Trait

2009· article· en· W2079186357 on OpenAlexaff
Lisa Scheinin, Charles V. Wetli

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2009
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsSickle cell traitRhabdomyolysisMedicineHypoxia (environmental)Sudden deathVascular occlusionCardiologyIschemiaTraitInternal medicineDisease

Abstract

fetched live from OpenAlex

Sickle cell trait, which affects approximately 8% of American blacks, is generally felt to be a benign condition. Exercise-related collapse in persons with sickle cell trait is a rare but serious complication. It occurs most often in military recruits and deconditioned athletes undergoing intense physical training, but can also occur in other situations in which an individual exerts himself beyond his limits of endurance. Local hypoxia causes intravascular sickling, in turn causing vascular occlusion and organ and tissue damage. This can result in rhabdomyolysis, myocardial ischemia, arrhythmias and sudden death. Risk factors include poor physical conditioning, inadequate hydration, excess heat and/or altitude, heat-retaining clothing and febrile illness. Seven cases are presented, and the implications of the diagnosis of sickle trait-associated collapse and sudden death are discussed.

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)0.000
metaresearch head score (Gemma)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.012
GPT teacher head0.279
Teacher spread0.267 · 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

Citations40
Published2009
Admission routes1
Has abstractyes

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