Recent progress in the treatment of women with diminished ovarian reserve
Bibliographic record
Abstract
Abstract Diminished ovarian reserve (DOR) refers to a decrease in the number and/or quality of oocytes in the ovary, accompanied by a decline in reproductive potential, which is generally related to advanced age or ovarian disease. In in vitro fertilization (IVF) clinical practice, managing patients with DOR remains one of the most challenging tasks. In recent years, increased research on improving ovarian function has provided us with new insights into treating patients with DOR. Many therapeutic options have been proposed to improve the ovarian function of patients with DOR, yet they are not widely utilized in clinical practice because of limited evidence of safety and effectiveness. In this review, we focus on the mechanisms from animal models and clinical trials that have been applied to the treatment of DOR in recent years, intending to improve IVF outcomes in patients with DOR. Furthermore, new insights and perspectives on the molecular and cellular regulation of follicular development and ovarian reserve are emphasized to provide more clues for research on the treatment of DOR.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".