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Integration of the Duke Activity Status Index into preoperative risk evaluation: a multicentre prospective cohort study
Duminda N. Wijeysundera, W. Scott Beattie, Graham S. Hillis, Tom Abbott, Mark Shulman, Gareth L. Ackland, C. David Mazer, Paul S. Myles, Rupert M. Pearse, Brian H. Cuthbertson, P.S. Myles, Sophie Wallace, Paddy Farrington, Bruce Thompson, Mathew J. Ellis, B. Borg, Ross Kerridge, Janice G. Douglas, James R. Brannan, Jeffrey J. Pretto, M.G. Godsall, N. Beauchamp, Sandra L. Allen, A. Kennedy, E. Wright, J. Malherbe, Hilmy Ismail, Bernhard Riedel, Andrew Melville, H. Sivakumar, A. Murmane, K. Kenchington, Y. Kirabiyik, Usha Gurunathan, C. Stonell, K. Brunello, Katherine T. Steele, Oystein Tronstad, P. Masel, Annette Dent, Emma Smith, A Bodger, M. Abolfathi, P Sivalingam, Andrew P. Hall, Thomas Painter, S. Macklin, Adrian D. Elliott, Anna María Claverol Carrera, N Terblanche, Susan C. Pitt, Jason M. Samuels, C. Wilde, Kate Leslie, Andrew MacCormick, David E. Bramley, Anne Marie Southcott, Jonathan Grant, H. Taylor, Samantha Bates, Michael Towns, Anna Tippett, Fray F. Marshall, J. Kunasingam, Anmol Yagnik, C. Crescini, S. Yagnik, Colin J. L. McCartney, Stephen Choi, Priya Somascanthan, K. Flores, Keyvan Karkouti, Hance Clarke, Angela Jerath, Stuart A. McCluskey, Marcin Wąsowicz, Lauren Day, Janneth Pazmino‐Canizares, Paul Oh, R. Belliard, L. Lee, K. Dobson, Vincent Chan, Richard Brull, Noam Ami, Matthew B. Stanbrook, K. Hagen, Douglas Campbell, Timothy G. Short, J. Van Der Westhuizen, Kushlin Higgie, Helen Lindsay, R. Jang, Chris Ho Ming Wong, Davina McAllister, M Ali, Jitendra Kumar, Ellen Waymouth, C. Kim, J. Dimech, Michelle Lorimer, Joyce Tai, R. Miller, R. Sara, A. Collingwood, Sue Olliff, S. Gabriel, Helen Houston, Paul Dalley, Sally Hurford, Anna Hunt, Lynn Andrews, Leanlove Navarra, A. Jason-Smith, N. McMillan, G. Back, Bernard Croal, M. Lum, Daniel Martín, Sarah‐Naomi James, Helder Filipe, M. Pinto, S. Kynaston, M. Phull, Christian M. Beilstein, Phoebe Bodger, Kirsty Everingham, Ya‐Han Hu, Edyta Niebrzegowska, C. Corriea, Thais Creary, Marta Januszewska, Tahania Ahmad, J. Whalley, Richard Haslop, Jane E. McNeil, A. Brown, Neil MacDonald, M. Pakats, Kathryn Greaves, Shaman Jhanji, R. Raobaikady, Ethel Black, Martin Rooms, H. Lawrence, Maria Koutra, Katrina Pirie, M. Gertsman, Sandy Jack, Michael Celinski, Denny Levett, Marcia Edwards, Karen Salmon, Clare Bolger, Lisa Loughney, Leanne Seaward, Hannah Collins, B. Tyrell, N. Tantony, Kim Golder, Robert Stephens, L. Gallego-Paredes, Anna Reyes, Ana Gutierrez del Arroyo, Ashok Raj, Rhiannon Lifford, Elizabeth Torres, A. Ambosta, Magda Melo, Muhammad Mamdani, Kevin E. Thorpe, Michael P. W. Grocott, Harindra C. Wijeysundera
Bibliographic record
VenueBritish Journal of Anaesthesia · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsToronto Western HospitalHealth Sciences CentreToronto Rehabilitation InstituteSunnybrook Health Science CentreUniversity of TorontoUniversity Health NetworkToronto General HospitalSt. Michael's Hospital
FundersDepartment of Family and Community Medicine, University of TorontoMedical Research CouncilCanadian Institutes of Health ResearchOntario Ministry of Research, Innovation and ScienceUnited Kingdom Clinical Research CollaborationMonash UniversityOntario Ministry of Research and InnovationRoyal College of AnaesthetistsNational Institute for Health and Care ResearchToronto East General Hospital FoundationUniversity of TorontoRoyal College of Physicians and Surgeons of CanadaBritish Heart FoundationMedical Research Council CanadaNational Institute of Academic AnaesthesiaOntario Ministry of Health and Long-Term CareAustralian and New Zealand College of AnaesthetistsHeart and Stroke Foundation of Canada
KeywordsMedicineOdds ratioConfidence intervalInternal medicineMyocardial infarctionCohort studyProspective cohort studyCohortLogistic regressionOddsPhysical therapyCardiology
Abstract
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.448
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.008
GPT teacher head0.273
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Citations164
Published2019
Admission routes2
Has abstractno