Incidence and Clinical Course of COVID-19 in Patients with Connective Tissue Diseases: A Descriptive Observational Analysis
Bibliographic record
Abstract
To the Editor: The outbreak of COVID-19 in December 2019 in China has very quickly become a global health emergency, with almost 2 million infected patients worldwide1. Along with the spread of the pandemic, there has been growing concern about the management of fragile patients with rheumatic conditions. There are still very few data available on this aspect. In particular, subjects affected by connective tissue diseases (CTD) are known to have an increased infectious risk compared to the healthy population because of a general impairment of the immune system intrinsic to the autoimmune disease itself, the iatrogenic effect linked to the use of immunosuppressive drugs, and the high number of comorbidities that often complicate the clinical picture2,3. On the other hand, the progressive increase in the knowledge about the pathogenesis of the infection is paving the way for the use of certain drugs common in rheumatology to also treat COVID-194. As rheumatologists operating in one of the major epicenters … Address correspondence to Dr. E.G. Favalli, Division of Clinical Rheumatology, ASST Gaetano Pini-CTO Institute, Via Gaetano Pini 9, 20122 Milan, Italy. E-mail address: enniofavalli{at}me.com
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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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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.
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.
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".