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Record W4304112206 · doi:10.1016/s2213-2600(22)00296-x

Prognostic factors associated with mortality among patients receiving venovenous extracorporeal membrane oxygenation for COVID-19: a systematic review and meta-analysis

2022· review· en· W4304112206 on OpenAlexaff
Alexandre Tran, Shannon M. Fernando, Bram Rochwerg, Ryan P. Barbaro, Carol Hodgson, Laveena Munshi, Graeme MacLaren, Kollengode Ramanathan, Catherine L. Hough, Laurent Brochard, Kathy Rowan, Niall D. Ferguson, Alain Combes, Arthur S. Slutsky, Eddy Fan, Daniel Brodie

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2022
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsSt. Michael's HospitalPublic Health OntarioUniversity of TorontoMcMaster UniversityLakeridge HealthUniversity of Ottawa
Fundersnot available
KeywordsMedicineExtracorporeal membrane oxygenationObservational studyARDSMeta-analysisOdds ratioHazard ratioIntensive care medicineMEDLINEEmergency medicineCohort studyInternal medicineConfidence intervalLung

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0130.035
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.262
GPT teacher head0.361
Teacher spread0.099 · 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 designMeta-analysis
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

Citations85
Published2022
Admission routes1
Has abstractno

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