Bibliographic record
Abstract
Menstrual disorders, infertility and premature menopause are common but often underrecognized phenomena among women with chronic kidney disease. Hypothalamic, rather than ovarian dysfunction, may be the cause of the abnormal reproductive milieu, which can be at least partially reversed by kidney transplantation and increased intensity of hemodialysis. Endogenous sex hormones, and specifically estradiol, appear to be renoprotective in women, although the effects of exogenous estradiol (as an oral contraceptive and postmenopausal hormone therapy) on kidney function are more controversial. Treatment with postmenopausal hormone therapy in women with end-stage kidney disease (ESKD) has been associated with improved quality of life, bone health and markers of cardiovascular risk, as well as an increased risk of arteriovenous access thrombosis. The selective estrogen receptor modulator raloxifene has been associated with both a decreased fracture risk as well as renoprotection in women with kidney disease. Young women with ESKD are more likely to die from infection or develop malignancy, suggesting an immunomodulatory role of estrogen. Whether the premature menopause commonly observed in female patients with kidney disease results in increased cardiovascular morbidity and mortality is unknown, although preliminary studies have suggested a possible therapeutic role for manipulation of the sex hormone milieu to mitigate risk in this population. Large, prospective, randomized studies examining the role of sex hormones in women with kidney disease are required to address the question.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".