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Record W2022935479 · doi:10.1016/j.rmcr.2013.12.002

Lung physiology at play: Hemoptysis due to underwater hockey

2014· article· en· W2022935479 on OpenAlexaff
Meghan Aversa, Stephen E. Lapinsky

Bibliographic record

VenueRespiratory Medicine Case Reports · 2014
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineHydrostatic pressureExertionLungAthletesHemodynamicsCardiologyInternal medicineIntensive care medicineAnesthesiaPhysical therapy

Abstract

fetched live from OpenAlex

Hemoptysis can be a very concerning symptom, and the workup of a patient with hemoptysis may be expensive and invasive. Over the past decade, there has been increasing recognition of hemoptysis that occurs in highly trained athletes under conditions of extreme physical exertion and is explained by "pulmonary capillary stress failure". This report highlights the physiological mechanisms of pulmonary capillary stress failure in the highly trained athlete, with emphasis on the predisposition to develop this condition in underwater sports. We describe the case of an otherwise healthy 34 year-old competitive underwater hockey player who reported hemoptysis following particularly strenuous games. We postulate that the hemoptysis was a result of the pulmonary capillary stress failure caused by the cumulative hemodynamic effects of a markedly elevated cardiac output, the increased central blood volume caused by the hydrostatic effects of submersion in water, and the negative intrathoracic pressure produced by voluntary diaphragmatic contractions.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.002
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 head0.034
GPT teacher head0.321
Teacher spread0.287 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

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