An Association of Maternal Age and Birth Weight with End-Stage Renal Disease in Saskatchewan. Sub-Analysis of Registered Indians and Those with Diabetes
Bibliographic record
Abstract
AIMS: To determine links between birth related factors and end-stage renal disease (ESRD). METHODS: This 1:3 age, sex, and source population (registered Indians [SkRI] and other Saskatchewan people [OSkP]) matched case-control study, compared maternal age and parity, gestational age, low birth weight (LBW), and high birth weight (HBW), between subjects with and without ESRD. RESULTS: Of 1,162 subjects, 277 cases (48 SkRI and 229 OSkP) and 601 controls (112 SkRI and 489 OSkP) had birth weight information. A trend for increased LBW rates occurred among SkRI and OSkP cases compared to controls (10.4 vs. 5.3% and 6.6 vs. 4.3%), and was significant for OSkP female cases (OR 3.66; 95% confidence interval [CI] 1.05, 12.73). Higher HBW rates occurred in SkRI cases (14.6% compared to 11.6% controls; N/S), and 3/5 female SkRI diabetic ESRD (DESRD) cases were over 3,750 g compared to 1/14 controls (p < 0.05). Only maternal age >/=30 years was an independent predictor for ESRD, particularly for OSkP non-DESRD cases (OR 2.45; 95% CI 1.03, 5.8). Cases with older mothers had lower mean birth weights than controls (3,236 vs. 3,434 g; p = 0.005). CONCLUSIONS: Older maternal age may predispose offspring to ESRD through mechanisms that differ for DESRD versus non-DESRD, and that may relate to ethnicity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".