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Risk for non-home discharge following surgery for ischemic mitral valve disease
Anuradha Lala, Helena Chang, Xiaoyu Liu, Eric J. Charles, Babatunde A. Yerokun, Michael E. Bowdish, Vinod H. Thourani, Michael J. Mack, Marissa A. Miller, Patrick T. O’Gara, Eugene H. Blackstone, Alan J. Moskowitz, Annetine C. Gelijns, John C. Mullen, Lynne W. Stevenson, Joseph J. DeRose, Alice Wang, Peter K. Smith, Michael A. Acker, Gorav Ailawadi, Wendy C. Taddei‐Peters, Dennis Buxton, Ron Caulder, Nancy L. Geller, David F. Gordon, Neal Jeffries, Albert Lee, Ilana Kogan Gombos, Jennifer Ralph, Richard D. Weisel, Timothy J. Gardner, Eric A. Rose, Michael K. Parides, Deborah D. Ascheim, Emilia Bagiella, Ellen Moquete, Melissa Chase, James Foo, Ying‐Chun Chen, Seth Goldfarb, Lopa Gupta, Katherine Kirkwood, Edlira Dobrev, Ron Levitan, Karen O'Sullivan, Jessica Overbey, Milerva Santos, Deborah Williams, Michael Weglinski, Paula Williams, Carrie A. Wood, Xia Ye, Sten Lyager Nielsen, Henrik Wiggers, Henning Malgaard, Tracine Adame, Natalie Settele, Jenny Adams, William H. Ryan, Robert L. Smith, Paul Grayburn, Frederick Y. Chen, Anju Nohria, Lawrence Cohn, Prem Shekar, Sary F. Aranki, Gregory Couper, Michael Davidson, R. Morton Bolman, Anne Burgess, Debra Conboy, Rita Lawrence, Nicolas Noiseux, Louis‐Mathieu Stevens, Ignacio Priéto, Fadi Basile, Joannie Dionne, Julie Fecteau, A. Marc Gillinov, Pamela Lackner, Leoma Berroteran, Diana Dolney, Suzanne Fleming, Roberta Palumbo, Christine Whitman, Kathy Sankovic, Denise Kosty Sweeney, Carrie Geither, Kristen Doud, Gregory Pattakos, Pamela A.G. Clarke, Michael Argenziano, Mathew Williams, Lyn Goldsmith, Craig R. Smith, Yoshifumi Naka, Allan Stewart, Allan Schwartz, Daniel Bell, Danielle Van Patten, S. Sreekanth, John H. Alexander, Carmelo A. Milano, Donald D. Glower, Joseph P. Mathew, J. Kevin Harrison, Stacey Welsh, Mark F. Berry, Cyrus J. Parsa, Betty C. Tong, Judson B. Williams, T. Bruce Ferguson, Alan P. Kypson, Evelio Rodríguez, Malissa Harris, Brenda Akers, Allison O'Neal, John D. Puskas, Robert Guyton, Jefferson Baer, Kim T. Baio, Alexis A. Neill, Pierre Voisine, Mario Sénéchal, François Dagenais, Kim O’Connor, Gladys Dussault, Tatiana Ballivian, Suzanne Keilani, Alan M. Speir, Patrick Magee, Niv Ad, Sally Keyte, Minh Dang, Mark S. Slaughter, Marsha Headlee, Heather Moody, Naresh Solankhi, Emma J. Birks, Mark A. Groh, Leslie E. Shell, Stephanie A. Shepard, Benjamin H. Trichon, Tracy Nanney, Lynne C. Hampton, Ralph Mangusan, Robert E. Michler, David A. D’Alessandro, Daniel J. Goldstein, Ricardo Bello, William Jakobleff, Mario J. García, Cynthia Taub, Daniel Spevak, Roger Swayze, Nadia Sookraj, Louis P. Perrault, Arsène-Joseph Basmadjian, Denis Bouchard, Michel Carrier, Raymond Cartier, Michel Pellerin, Jean François Tanguay, Ismaı̈l El-Hamamsy, André Denault, Philippe Demers, Sophie Robichaud Jonathan Lacharité, Keith A. Horvath, Philip C. Corcoran, Michael Siegenthaler, Mandy Murphy, Margaret Iraola, Ann Greenberg, Chittoor Sai‐Sudhakar, Ayseha Hasan, Asia McDavid, Bradley Kinn, Pierre Pagé, Carole Sirois, David A. Latter, Howard Leong‐Poi, D. Bonneau, Lee Errett, Mark D. Peterson, Subodh Verma, Randi Feder-Elituv, Gideon Cohen, Campbell Joyner, Stephen E. Fremes, Fuad Moussa, George T. Christakis, Reena Karkhanis, Terry Yau, Michael E. Farkouh, Anna Woo, Robert J. Cusimano, Tirone E. David, Christopher M. Feindel, Lisa J. Garrard, Suzanne Fredericks, A.G. Mociornita, Jonathan Choy, Steven Meyer, Emily Kuurstra, James S. Gammie, Cindi A. Young, Dana Beach, Robert Villanueva, Pavan Atluri, Y. Joseph Woo, Mary Lou Mayer, Vaughn A. Starnes, David Shavalle, Ray Matthews, Shadi Javadifar, Linda Romar, Irving L. Kron, Karen C. Johnston, John Dent, John A. Kern, Jessica Keim‐Malpass, Sandra G. Burks, Kim Gahring, David A. Bull, Dennis O. Dixon, Mark C. Haigney, Richard Holubkov, Alice Jacobs, Frank E. Miller, John M. Murkin, John A. Spertus, Andrew S. Wechsler, Frank W. Sellke, Robert Byington, Neal W. Dickert, John S. Ikonomidis, David O. Williams, Clyde W. Yancy, James C. Fang, Nadia Giannetti, Wayne Richenbacher, Vivek Rao, Karen L. Furie, Rachel Miller, Sean Pinney, William C. Roberts, Mary Norine Walsh, Judy Hung, Xin Zeng, Niamh Kilcullen, David Hung, Stephen J. Keteyian, Clinton A. Brawner, Heather Aldred, Jeffrey N. Browndyke, Yanne Toulgoat-Dubois
Bibliographic record
VenueJournal of Thoracic and Cardiovascular Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of Alberta
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of HealthNational Institute of Neurological Disorders and StrokeU.S. Department of Health and Human Services
KeywordsMedicineOdds ratioConfidence intervalHazard ratioAdverse effectInternal medicineDiabetes mellitusHeart failureSurgeryEndocrinology
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 machine prediction
Teacher imitationNot 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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 head0.022
GPT teacher head0.314
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), 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
Citations10
Published2020
Admission routes2
Has abstractno