Menstrual Abnormalities and Reproductive Lifespan in Females with CKD
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Menstrual abnormalities and shortened reproductive lifespan are associated with shorter life expectancy and higher cardiovascular and osteoporosis risk in the general population, although the magnitude of these reproductive factor irregularities in females with CKD is unclear. This systematic review and meta-analysis aimed to summarize the current knowledge regarding menstrual abnormalities and reproductive lifespan among females with CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A comprehensive bibliographic search (MEDLINE, Embase, and Cumulative Index to Nursing and Allied Health Literature [CINAHL]) was completed from database inception to February 2022 to identify all original articles reporting on females of reproductive age with nondialysis-dependent/nonkidney transplant CKD, dialysis-dependent CKD, or kidney transplantation and menstruation patterns, age of menarche, and/or menopause. Data extraction and study quality assessment were completed in duplicate. Random effects meta-analyses were used to derive pooled proportions estimates. RESULTS: Forty-six studies were identified, and 35 were meta-analyzed, stratified by KRT modality and reported outcome. Menstrual abnormalities were present in 19%-47% of patients on hemodialysis and 75% of patients on peritoneal dialysis. Kidney transplantation was associated with a 7%-30% decrease in menstrual abnormalities. Reproductive lifespan was 32 years (95% confidence interval, 30 to 34 years). Although significant heterogeneity was present, study quality ranged from fair to good, and no evidence of publication bias was noted. CONCLUSIONS: Menstrual abnormalities and shorter reproductive lifespan are common in females with CKD, although kidney transplantation may improve menstrual health.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| 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) | 0.002 | 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".