MétaCan
Menu
Back to cohort
Record W2904567095 · doi:10.1136/bcr-2017-222888

Acute mountain sickness (AMS) in a Nepali pilgrim after rapid ascent to a sacred lake (4380 m) in the Himalayas

2018· article· en· W2904567095 on OpenAlexaboutno aff
Simant Singh Thapa, Buddha Basnyat

Bibliographic record

VenueBMJ Case Reports · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsnot available
Fundersnot available
KeywordsPilgrimPilgrimageNauseaAltitude sicknessNepaliMedicineMountaineeringEffects of high altitude on humansVomitingAnesthesiaGeographyAncient historyHistoryArt

Abstract

fetched live from OpenAlex

A 55-year-old female Nepali pilgrim presented to the Himalayan Rescue Association Temporary Health Camp near the sacred Gosainkund Lake (4380 m) north of Kathmandu, Nepal, with a complaint of severe headache, vomiting and light-headedness. She was diagnosed with severe acute mountain sickness. Intramuscular dexamethasone was administered. Paracetamol (acetaminophen in the USA and Canada) and ondansetron were given as supportive management for headache and nausea. Arrangements were made to have her carried down by a porter immediately. After the descent, all her symptoms resolved. High-altitude pilgrims are a more vulnerable group than trekkers and mountaineers. Pilgrims generally have a rapid ascent profile, have low awareness of altitude illness and are strongly motivated to gain religious merit by completing the pilgrimage. As a result, there is a high incidence of altitude illness among pilgrims travelling to high-altitude pilgrimage sites.

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.296
Teacher spread0.284 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueBMJ Case ReportsSame topicHigh Altitude and HypoxiaFrench-language works237,207