COVID-19 Vaccination as a Trigger of IgA Vasculitis: Truth or Illusion?
Bibliographic record
Abstract
To the Editor: We read with great interest the recent article by Ramdani and colleagues in The Journal of Rheumatology on a nationwide multicenter, retrospective study conducted in France describing the status of the occurrence of IgA vasculitis (IgAV) after coronavirus disease 2019 (COVID-19) vaccination.1 We support and appreciate the authors’ work and agree with their conclusions that IgA vasculitis following COVID-19 vaccination is usually benign and that a fortuitous link cannot be ruled out and now requires a worldwide pharmacovigilance study, but there are some concerns about some of the details in the article. First, at the beginning of the results, the authors mentioned that 14 patients were … Address correspondence to J. Li, Department of Nephrology, Zhuzhou Hospital Affiliated to Xiangya Medical College, Central South University, Zhuzhou, Hunan, China. Email: lijiecsu2021{at}163.com.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.017 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".