Should we diagnose and treat minimal and mild endometriosis before medically assisted reproduction?
Bibliographic record
Abstract
The treatment of minimal or mild endometriosis prior to assisted reproduction (ranging from intrauterine insemination to in vitro fertilization [IVF]) to improve the likelihood of success is controversial. Ovulation suppression is commonly used in endometriosis to decrease pain, however, there is little evidence to suggest improvements in fertility associated with this technique. Moreover, current evidence is sparse and does not support ovarian suppression prior to intrauterine insemination with or without ovulation induction, while there is some evidence favoring ovarian suppression with gonadotropin releasing hormone agonists prior to IVF to improve pregnancy rates. However, the majority of studies were performed in women with moderate to severe endometriosis. There is currently conflicting evidence regarding surgical ablation or removal of endometriomas prior to IVF, and its outcome on pregnancy rates. This review highlights the paucity of data in the management of endometriosis prior to assisted reproductive technologies and suggests that further studies are needed.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".