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Factors associated with clinical progression to severe COVID-19 in people with cystic fibrosis: A global observational study
S.B. Carr, Elliot McClenaghan, Alexander Elbert, Albert Faro, Rebecca Cosgriff, Olzhas Abdrakhmanov, K. Brownlee, Pierre‐Régis Burgel, Catherine A. Byrnes, Stephanie Y. Cheng, Carla Colombo, Harriet Corvol, Géraldine Daneau, Christopher H. Goss, Vincent Gulmans, Hector Gutierrez, Satenik Harutyunyan, Meagan Helmick, Andreas Jung, N. Kashirskaya, Edward F. McKone, Joel Melo, Peter G. Middleton, Pedro Mondéjar-López, Isabelle de Monestrol, Lutz Nährlich, Rita Padoan, Megan Parker, María Dolores Pastor‐Vivero, Samar Rizvi, Rasa Ruseckaite, Marco Salvatore, Luiz Vicente R. F. da Silva-Filho, Nick Versmessen, Marco Zampoli, Bruce C. Marshall, Anne L. Stephenson, Scott C. Bell, David W. Reid, Peter Wark, Eva Van Braeckel, Sophie Gohy, Christiane Knoop, Jessica Pirson, Elke De Wachter, Lieven Dupont, L. Hanssens, Vicky Nowé, Monique Lequesne, Rodrigo Abensur Athanazio, Daniela Góis Meneses, V. Boussaud, Graziella Brinchault, Emmanuelle Coirier-Duet, J.‐C. Dubus, Dominique Grenet, Sandra de Miranda, L. Beaumont, Reem Kanaan, Muriel Lauraens, Clémence Martin, Marie Mittaine, Anne Prévötat, Martine Reynaud‐Gaubert, Isabelle Sermet‐Gaudelus, Aurélie Tatopoulos, R. Chiron, Marie‐Laure Dalphin, M. Gérardin, Laurence Weiss, Nathalie Wizla, Sophie Ramel, Barry J. Plant, Cedric Gunaratnam, Abaigeal Jackson, Karin de Winter- de Groot, Bart Luijk, Geertjan Wesseling, E. Kondratyeva, E. Zhekayte, E. Amelina, M. A. Mukhina, О. И. Симонова, Antonio Álvarez-Fernández, Amparó Solé, Isidoro Cortell‐Aznar, Rosa Girón, A. López Neyra, Isabel Ramos-Cancelo, Maite Lázaro-Carrasco, Dolores Pastor Vivero, Marta Ruiz de Valbuena, Concepción Prados‐Sánchez, J. Colomer, Silvia Gärtner, Layla Diab-Cáceres, Marita Gilljam, Ulrika Lindberg, Stefanie Diemer, Mark I. Allenby, Stephen Bourke, Susan C. Charman, Janet Collinson, Owen Dempsey, Sarah Denniston, Maya Desai, J. Duckers, C. Etherington, Alex Higton, Timothy Ho, Jeremy Hull, Andrew Jones, R.I. Ketchell, Susan Madge, Anirban Maitra, Ghulam Mujtaba, E.F. Nash, D. Nazareth, Christopher J. O’Brien, Claire Onyon, Christopher Orchard, D. Peckham, Helen Rodgers, Nadia Shafi, Nicholas J. Simmonds, Kevin W Southern, Martin Walshaw, Danie Watson, J.L. Whitehouse, Annalisa Orenti, B. Elnazir, D. Cox
Bibliographic record
VenueJournal of Cystic Fibrosis · 2022
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsSt. Michael's HospitalCystic Fibrosis Canada
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health Research
KeywordsMedicineUnderweightCystic fibrosisInternal medicineOdds ratioLogistic regressionBody mass indexOxygen therapyMedical prescriptionObservational studyPediatricsCohortOverweight
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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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 head0.100
GPT teacher head0.416
Teacher spread0.316 · 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.
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
Citations28
Published2022
Admission routes2
Has abstractno