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Record W2091942335 · doi:10.1089/ham.2008.1094

Secondary Prevention of HAPE in a Mount Everest Summiteer

2009· article· en· W2091942335 on OpenAlexaff
Ola Dunin-Bell, Suzanne Boyle

Bibliographic record

VenueHigh Altitude Medicine & Biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsMcMaster University
FundersSolar Energy Technologies Office
KeywordsHigh-altitude pulmonary edemaSummitMedicineEffects of high altitude on humansAltitude sicknessMountaineeringPulmonary edemaInternal medicineCartographyLungGeography

Abstract

fetched live from OpenAlex

Climbers who have suffered a previous episode of high altitude pulmonary edema (HAPE) are at significantly increased risk of developing it again on return to high altitude. In spite of the high mortality associated with HAPE, some climbers are willing to take this risk in order to summit the tallest mountains in the world. This is a case report of a climber who suffered an episode of HAPE partway up Mount Everest. He was determined to complete his summit attempt that same climbing season, which would involve a return to extreme altitude less than 3 weeks following recovery. Based on experimental evidence suggesting that sildenafil, salmeterol, and acetazolamide may have therapeutic value for both the prevention and treatment of HAPE, he used these medications for secondary prevention. He was able to successfully reach the summit of Mount Everest and return to base camp without any evidence of recurrence of pulmonary edema. This provides clinical evidence that medication can be used to increase the safety margin for HAPE-susceptible individuals traveling to extremely high altitudes.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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