Clinical features and outcomes of COVID-19 in patients with IgG4-related disease: a European multi-centre study
Bibliographic record
Abstract
Dear Editor, Patients affected by inflammatory rheumatic disorders are at increased risk of Coronavirus Disease-19 (COVID-19)-related adverse outcomes due to concomitant immunosuppressive medication and comorbidities [1, 2]. IgG4-related disease (IgG4-RD) is an increasingly recognized systemic fibro-inflammatory condition that predominantly affects elderly males whose standard of care is based on glucocorticoids and rituximab regimens, all established risk factors for poorer COVID-19 outcomes [3–7]. In addition, elevation of serum IgG4 has been recently identified as a predictor of mortality in hospitalized COVID-19 patients, raising the possibility that an immunological background prone to preferential IgG4 production may favour life-threatening SARS-CoV-2 infection [8]. In the present observational retrospective study, we collected epidemiological and clinical features of patients with biopsy proven IgG4-RD and followed at tertiary care centres in France, Italy, Spain and the UK. Patients were interrogated by phone call between December 2020 and February 2021...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".