Pregnancy in advanced chronic kidney disease and end-stage renal disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: This article reviews the available literature about the incidence, outcomes, and the management of pregnancy in women with advanced chronic kidney disease (CKD) and end-stage renal disease (ESRD) who require renal replacement therapy. RECENT FINDINGS: Pregnancy in women with advanced CKD and ESRD can result in serious adverse maternal and fetal outcomes, but improved outcomes have been noted in recent years, likely secondary to intensified dialysis regimens. More intensive dialysis allows for the gentle removal of water, solutes, and uremic toxins, which theoretically results in near-normal maternal renal physiology, an improvement in placental blood flow, and therefore a better environment for fetal growth and development. As management remains complex, a close joint collaboration between the high-risk obstetrical team and nephrology is essential. SUMMARY: Pregnancy on dialysis is becoming a viable option for women with advanced CKD and ESRD who do not have immediate access to transplantation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".