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Extracorporeal membrane oxygenation support in COVID-19: an international cohort study of the Extracorporeal Life Support Organization registry
Ryan P. Barbaro, Graeme MacLaren, Philip S. Boonstra, Theodore J. Iwashyna, Arthur S. Slutsky, Eddy Fan, Robert H. Bartlett, Joseph E. Tonna, Robert Hyslop, Jeffrey J. Fanning, Peter Rycus, Steve Hyer, Marc Anders, Cara Agerstrand, Katarzyna Hryniewicz, Rodrigo Díaz, Roberto Lorusso, Alain Combes, Daniel Brodie, Peta Alexander, Nicholas Barrett, Jan Bělohlávek, Dale Fisher, John F. Fraser, Ali Ait Hssain, Jae Sung Jung, Michael McMullan, Yatin Mehta, Mark Ogino, Matthew L. Paden, Kiran Shekar, Christine Stead, Yasir Abu-Omar, Vanni Agnoletti, Anzila Akbar, Huda Alfoudri, Carlos L. Alviar, Vladimir Aronsky, Erin August, Georg Auzinger, Hilda Aveja, Rhonda Bakken, Joan Balcells, Sripal Bangalore, Bernard W. Barnes, Alaiza Bautista, Lorraine L. Bellows, Felipe Beltran, Peyman Benharash, Marco Benni, Jennifer Berg, Pietro Bertini, Pablo Blanco-Schweizer, Melissa E. Brunsvold, Jenny Budd, Debra Camp, Mark Caridi-Scheible, Edmund G. Carton, Elena Casanova-Ghosh, Anthony W. Castleberry, Christopher T. Chipongian, Chang Woo Choi, Alessandro Circelli, Elliott S. Cohen, Michael L. Collins, Scott C. Copus, Jill Coy, Brandon Crist, Leonora Cruz, Mirosław Czuczwar, Mani A. Daneshmand, Daniel Davis, Kim De La Cruz, Cyndie Devers, Toni Duculan, Lucian A. Durham, Subbarao Elapavaluru, Carlos V. Elzo Kraemer, Jillian Fitzgerald, Giuseppe Foti, Matthew P. Fox, David Fritschen, David A. Fullerton, Elton Gelandt, Stacy Gerle, Marco Giani, Si Guim Goh, Sara Govener, Julie Grone, Miles Guber, Vadim Gudzenko, Daniel Gutteridge, Jennifer Guy, Jonathan W. Haft, Cameron L. Hall, Ibrahim Fawzy Hassan, Rubén Herrán, Hitoshi Hirose, Abdulsalam Saif Ibrahim, Don Igielski, Felicia A. Ivascu, Jaume Izquierdo-Blasco, Julie Jackson, Harsh Jain, Bhavini Jaiswal, Andrea C. Johnson, Jenniver A. Jurynec, Norma M Kellter, Adam Kohl, Zachary N. Kon, Markus Kredel, Karen Kriska, Chandra Kunavarapu, Oude Lansink-Hartgring, Jeliene LaRocque, Sharon B. Larson, Tracie Layne, Stéphane Ledot, Napolitan Lena, Jon Lillie, Gösta Lotz, Mark Lucas, Lee Ludwigson, Jacinta J. Maas, Joanna Maertens, David Mast, Scott T. McCardle, Bernard McDonald, Allison J. McLarty, Chelsea McMahon, Patrick Meybohm, Bart Meyns, Casey Miller, Fernando M F Didier Neto, Kelly Morris, Ralf M. Muellenbach, Meghan Nicholson, Serena O’Brien, Kathryn O’Keefe, Tawnya Ogston, Gary Oldenburg, Fabiana Maria Rodrigues Lopes de Oliveira, Emily Oppel, D. Chaparro Pardo, Sara J. Parker, Finn Møller Pedersen, Crescens Pellecchia, Jose A.S. Pelligrini, Thao T.N. Pham, Ann R. Phillips, Tasneem Pirani, Paweł Piwowarczyk, Robert Plambeck, William Pruett, Brittany Quandt, Kollengode Ramanathan, Alejandro Rey, Christian Reyher, Rachel Roberts, David Roe, Peter P. Roeleveld, Janet Rudy, Luis F. Rueda, Emanuele Russo, Jesús Sánchez Ballesteros, Nancy Satou, Maurício Guidi Saueressig, Paul Saunders, Margaret Schlotterbeck, Patrícia Schwarz, Nicole Scriven, Alexis Serra, Mohammad Shamsah, Lucy Sim, Alexandra Smart, Adam Smith, Deane E. Smith, Maggie Smith, Neel R. Sodha, Michael Sonntagbauer, Marc Sorenson, Eric B Stallkamp, Allison J. Stewart, K Swartz, Koji Takeda, Shaun Thompson, Bridget Toy, Divina Tuazon, Makoto Uchiyama, Obiora I. Udeozo, Scott Van Poppel, Corey E. Ventetuolo, Leen Vercaemst, Nguyễn Văn Vĩnh Châu, I‐Wen Wang, Carrie Williamson, Brock Wilson, Helen Winkels
Bibliographic record
VenueThe Lancet · 2020
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of HealthExtracorporeal Life Support OrganizationBaxter International
KeywordsExtracorporeal membrane oxygenationExtracorporealCoronavirus disease 2019 (COVID-19)MedicineCohortLife support2019-20 coronavirus outbreakCohort studyIntensive care medicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Respiratory failureAcute respiratory failureEmergency medicineInternal medicineVirologyDiseaseMechanical ventilationOutbreakInfectious disease (medical specialty)
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)0.002
metaresearch head score (Gemma)0.005
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 score0.011
Threshold uncertainty score0.022
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.041
GPT teacher head0.273
Teacher spread0.232 · 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
Citations939
Published2020
Admission routes2
Has abstractno