Hospitalization Increases the Risk of Acute Arthritic Flares in Gout: A Population-based Study over 2 Decades
Bibliographic record
Abstract
OBJECTIVE: To assess in-hospital gout flares in patients with gout. METHODS: Hospitalizations were evaluated for gout flares in a cohort of Olmsted County, Minnesota, residents with incident gout in 1989-1992 or 2009-2010. RESULTS: There were 429 patients followed up to 5 years. Of these, 169 patients experienced 454 hospitalizations. Hospitalization rates increased without reaching statistical significance from 1989-1992 to 2009-2010 [rate ratio (RR) 1.19, 95% CI 0.98-1.45]. The gout flare rate increased significantly during hospitalization (RR 10.2, 95% CI 6.8-14.5). In-hospital gout flare increased the average hospital stay by 1.8 days (p < 0.001). CONCLUSION: Hospitalization increased the risk of gout flares 10-fold. In-hospital gout flares were associated with longer hospitalization.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".