Advances in Subacute Thyroiditis: Pathogenesis, Diagnosis, and Therapies
Bibliographic record
Abstract
Subacute thyroiditis (SAT) is an inflammatory thyroid disease that is often associated with viral infections. In particular, SARS-COV-2 and its vaccine were found to cause SAT during the recent COVID-19 pandemic. However, the pathogenesis, clinical features, and processes still need further profiling. Recently, there are new findings and understanding about the pathogenic mechanisms of SAT. Some HLA genes have been shown to increase the risk of SAT development, and inflammatory cytokine storms could promote the progression of SAT. Some new diagnostic criteria for SAT have been proposed to facilitate clinicians' diagnosis of SAT when facing atypical symptoms in a manner of rapidity and accuracy. Plus, new treatments for SAT with herbal medicines have been proposed recently as an addition to the conventional steroidal drugs and NSAIDs. This review will provide a summary of these recent progresses of SAT on pathogenesis, diagnosis, and therapies with emphasis on the role of a variety of virus pathogens, including the COVID-19 virus.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".