Estimating the Occurrence of Renal Complications Among Persons With Ankylosing Spondylitis
Bibliographic record
Abstract
OBJECTIVE: The few published estimates of the risk of renal complications in ankylosing spondylitis (AS) are established on clinic-based studies. Our objective was to estimate the age- and sex-specific risks of renal complications in a population-based cohort of AS subjects in Québec between 1996 and 2006, relative to the general population. METHODS: A retrospective cohort design was implemented using population-based administrative data collected from 1996 to 2006 in Québec, Canada. The study cohort included subjects diagnosed with AS on physician billing records, and the comparison cohort comprised a 1% random sample of subjects without AS. Age- and sex-stratified prevalence ratios for acute kidney injury, chronic kidney disease, amyloidosis, and hypertensive renal disease were compared between subjects with and without AS. RESULTS: The AS cohort included 4,836 men and 3,780 women. Renal complications were diagnosed among 3.4% of men and 2.1% of women with AS compared with 2.0% and 1.6% of persons without AS, respectively. Renal complications were 72% more prevalent among persons with AS and an increase was observed in each of the conditions. The magnitude of the risk of renal complications was highest among younger individuals and decreased with advancing age. CONCLUSION: These findings indicate that renal complications may be elevated among persons with AS, especially at younger ages. Despite the limitations of administrative data pertaining to onset of disease, these findings warrant further investigation because of their clinical relevance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".