Serum Creatinine Levels Before, During, and After Pregnancy
Bibliographic record
Abstract
Serum Creatinine Levels Before, During, and After PregnancyEstimating renal function before and during pregnancy has clinical importance: kidney dysfunction can affect maternal and perinatal health.Glomerular hyperfiltration is a typical physiological adaptation to pregnancy, reflected by a decrease in levels of serum creatinine (SCr) with advancing gestational age.Creatinine-based equations used to estimate glomerular filtration may misclassify renal function during pregnancy, 1 as they depend on a steady state of creatinine balance.Moreover, a 24-hour collection of urine to measure cre-atinine clearance is impractical. 2Accordingly, physicians typically rely on SCr level.Previous studies attempted to define a normal SCr level in pregnancy, but they had few participants and may have been confounded by sampling bias. 3,4The current study was undertaken to generate gestational age-specific estimates of renal function-before, during, and after pregnancy-among women without antecedent kidney disease.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".