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Associations of baseline use of biologic or targeted synthetic DMARDs with COVID-19 severity in rheumatoid arthritis: Results from the COVID-19 Global Rheumatology Alliance physician registry

2021· article· en· W3164519882 on OpenAlexaff
Jeffrey A. Sparks, Zachary S. Wallace, Andrea M. Seet, Milena Gianfrancesco, Zara Izadi, Kimme L Hyrich, Anja Strangfeld, Laure Gossec, Loreto Carmona, Elsa F Mateus, Saskia Lawson‐Tovey, Laura Trupin, Stephanie Rush, Patricia Katz, Gabriela Schmajuk, Lindsay Jacobsohn, Leanna Wise, Emily Gilbert, Alí Duarte‐García, Maria O Valenzuela-Almada, Guillermo Pons‐Estel, C. A. Isnardi, Guillermo Berbotto, Tiffany Hsu, Kristin M. D’Silva, Naomi J. Patel, Lianne Kearsley‐Fleet, Martin Schäfer, Sandra Lúcia Euzébio Ribeiro, Samar Al Emadi, Liselotte Tidblad, Carlo Alberto Scirè, Bernd Raffeiner, Thierry Thomas, R.M. Flipo, Jérôme Avouac, Raphaèle Séror, Miguel Bernardes, Maria Margarida Cunha, Rebecca Hasseli, Hendrik Schulze‐Koops, Ulf Müller‐Ladner, Christof Specker, Viviane Angelina de Souza, Lícia Maria Henrique da Mota, Ana Paula Monteiro Gomides, Philippe Dieudé, Elena Nikiphorou, Vanessa L. Kronzer, Namrata Singh, Manuel F. Ugarte‐Gil, Beth Wallace, Akpabio Akpabio, Ranjeny Thomas, Suleman Bhana, Wendy Costello, Rebecca Grainger, Jonathan S. Hausmann, Jean W. Liew, Emily Sirotich, Paul Sufka, Philip C. Robinson, Pedro Machado, Jinoos Yazdany

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsMcMaster UniversityImpactCanadian Arthritis Patient Alliance
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsMedicineAbataceptRheumatoid arthritisTocilizumabInternal medicineGolimumabRheumatologyTofacitinibLogistic regressionAnakinraCoronavirus disease 2019 (COVID-19)Odds ratioRituximabAdalimumabDisease

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 distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.043
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.348
Teacher spread0.266 · 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 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

Citations241
Published2021
Admission routes1
Has abstractno

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