Longitudinal Study of Renal Function in Systemic Sclerosis
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of renal disease and the course of renal function over time in patients with systemic sclerosis (SSc). METHODS: We performed a multicenter, longitudinal study of 561 patients with SSc followed in the Canadian Scleroderma Research Group registry. Renal function was measured by the estimated creatinine clearance rate (eCcr) using the Cockcroft-Gault formula. Longitudinal changes in renal function were modeled using statistical analyses that adjusted for patient dropout. RESULTS: Among the study subjects, 112 (20%) had abnormal renal function with no history of scleroderma renal crisis (SRC) and 29 (5%) had a history of SRC at baseline. In models adjusting for patient dropout, we found that patients with abnormal baseline renal function experienced the same annual decline in eCcr as patients with normal baseline renal function (-0.89% per year, 95% CI -2.02%, 0.26%), which is similar to that observed in the general population. Patients with a history of SRC also showed the same rate of decline, although starting from a lower baseline. CONCLUSION: Renal dysfunction is common in SSc, even among those without a history of SRC. It is generally mild and renal function declines at a rate similar to the general population. These data are of considerable prognostic value for clinicians caring for patients with SSc.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".