MétaCan
Menu
← Back to cohort
Record W2959442417 · doi:10.1016/s2213-2600(19)30198-5

Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis

2019· review· en· W2959442417 on OpenAlexaff
Adam Benjafield, Najib Ayas, Peter R. Eastwood, Raphaël Heinzer, Msm Ip, Mary J. Morrell, Carlos M. Nuñez, Sanjay R. Patel, Thomas Penzel, Jean‐Louis Pépin, Paul E. Peppard, Sanjeev Sinha, Sérgio Tufik, Kate Valentine, Atul Malhotra

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2019
Typereview
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersPharmaceuticals BayerNational Health and Medical Research CouncilFondation LeenaardsSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungGlaxoSmithKlineAgence Nationale de la RechercheAmerican Sleep Medicine FoundationPhilipsNational Heart, Lung, and Blood InstituteAmerican Thoracic SocietyResMedResMed FoundationNational Science Foundation
KeywordsMedicinePopulationSleep medicineSleep (system call)MEDLINESleep studyPolysomnographyPediatricsSleep disorderInternal medicineInsomniaEnvironmental healthPsychiatryApnea

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.033
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.111
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.062
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.011
Bibliometrics0.1110.065
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.069
GPT teacher head0.388
Teacher spread0.319 · 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 designSystematic review
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

Citations4,040
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueThe Lancet Respiratory Medicine→Same topicObstructive Sleep Apnea Research→French-language works237,207→