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Record W2277258071 · doi:10.1016/s0140-6736(16)00163-x

Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials

2016· review· en· W2277258071 on OpenAlexaff
Mayank Goyal, Bijoy K. Menon, Wim H. van Zwam, Diederik W.J. Dippel, Peter Mitchell, Andrew M. Demchuk, Antoni Dávalos, Charles B.L.M. Majoie, Aad van der Lugt, María Ángeles de Miquel, Geoffrey A. Donnan, Yvo B.W.E.M. Roos, Alain Bonafé, Reza Jahan, Hans‐Christoph Diener, Lucie A. van den Berg, Elad I. Levy, Olvert A Berkhemer, Vítor Mendes Pereira, Jeremy Rempel, Mónica Millán, Stephen M. Davis, Daniel Roy, John Thornton, Luís San Román, Marc Ribó, Debbie Beumer, Bruce C. Stouch, Scott Brown, Bruce Campbell, Robert J. van Oostenbrugge, Jeffrey L Saver, Michael D. Hill, Tudor G. Jovin

Bibliographic record

VenueThe Lancet · 2016
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of TorontoHôpital Notre-DameUniversity of AlbertaUniversity of Calgary
FundersMedtronic
KeywordsIschaemic strokeMedicineMeta-analysisStroke (engine)Randomized controlled trialCardiologySurgeryInternal medicineIschemia

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)0.012
metaresearch head score (Gemma)0.025
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 score0.016
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0160.027
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.221
GPT teacher head0.392
Teacher spread0.171 · 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

Citations7,621
Published2016
Admission routes1
Has abstractno

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