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Record W3094081358 · doi:10.1016/j.bja.2020.09.023

Systematic review and consensus definitions for the Standardized Endpoints in Perioperative Medicine (StEP) initiative: cardiovascular outcomes

2020· review· en· W3094081358 on OpenAlexaff
W. Scott Beattie, Manoj M. Lalu, Matthew Bocock, Simon Feng, Duminda N. Wijeysundera, Peter Nägele, Lee A. Fleisher, Andrea Kurz, Bruce Biccard, Kate Leslie, Simon Howell, Giovanni Landoni, Hilary P. Grocott, André Lamy, Toby Richards, Paul S. Myles, T.J. Gan, Phil Peyton, Dan Sessler, Martin R. Tramèr, Gildàsio S. De Oliveira, Christopher L. Wu, Mark P. Jensen, Henrik Kehlet, Mari Botti, Oliver Boney, Guy Haller, Tim Cook, Mark D. Neuman, David Story, Russell L. Gruen, Sam Bampoe, Lisbeth Evered, David A. Scott, Brendan Silbert, Diederik van Dijk, Cor J. Kalkman, Matthew T.V. Chan, Rod Eckenhoff, Lars S. Rasmussen, Lars Eriksson, Scott Beattie, Richard J. Bartlett, Robert McMonnies, Jakob V. E. Gerstl, Mohammad Jay, David Kishlyansky, Matthew Machina, Matthew Bobcock, Rupert M. Pearse, Monty Mythen, Jaume Canet, Ann Merete Møller, Tony Gin, Marcus J. Schultz, Paolo Pelosi, Marcelo Gabreu, Emmanuel Futier, Ben Creagh‐Brown, Tom Abbott, Andy Klein, Tomás Corcoran, D. James Cooper, E Diouf, David R. McIlroy, Rinaldo Bellomo, Andrew Shaw, John R. Prowle, Keyvan Karkouti, J. Billings, C. David Mazer, Mohindas Jayarajah, Michael K. Murphy, Justyna Bartoszko, J. Robert Sneyd, Steve Morris, Ronald B. George, Ramani Moonesinghe, Mark Shulman, Meghan B. Lane‐Fall, Ulrica Nilsson, Nathalie Stevenson, Wilton A. van Klei, Luca Cabrini, Timothy E. Miller, Nathan L. Pace, Donal J. Buggy, Timothy G. Short, Bernhard Riedel, Vijay Gottumukkala, Bilal Alkhaffaf, Mark Johnson

Bibliographic record

VenueBritish Journal of Anaesthesia · 2020
Typereview
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcMaster UniversityUniversity of ManitobaSt. Michael's HospitalUniversity of OttawaUniversity of TorontoUniversity Health Network
FundersNational Institute for Health and Care Research
KeywordsPerioperativePerioperative medicineMedicineIntensive care medicineConsensus conferenceEndpoint DeterminationMEDLINEMedical physicsInternal medicineClinical trialPolitical scienceSurgery

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)0.038
metaresearch head score (Gemma)0.125
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 score0.038
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.125
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.022
Bibliometrics0.0150.013
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0040.005
Research integrity0.0030.004
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 head0.060
GPT teacher head0.328
Teacher spread0.268 · 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

Citations112
Published2020
Admission routes1
Has abstractno

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Same venueBritish Journal of AnaesthesiaSame topicCardiac, Anesthesia and Surgical OutcomesFrench-language works237,207