Effects of uterine polyps on embryo implantation in IVF cycles
Bibliographic record
Abstract
Embryo implantation requires healthy uterine endometrium for natural or assisted reproductive technology conception. However, in presence of any endometrial anatomical abnormality or disease, implantation is affected. Uterine or endometrial polyps are over growths of endometrial cells that extend into the uterine cavity. They are usually noncancerous. There can be one or many polyps. They range in size from a few millimeters to several centimeters or larger. They may cause vaginal bleeding in between periods, heavy periods, frequent or unpredictable periods and infertility. The objective of this study was to find out effects of endometrial polyps on embryo implantation in assisted reproductive technology cycles of Saudi women being treated at an infertility clinic. This was a case-control study. The participants were in ratio of 5:1 i.e., for every 5 patients there was one control. The polyp diagnosis was carried out with ultrasound and endometrial biopsy. We observed high incidence of implantation failure in patients with uterine polyps as compared to that in the control patients. The results of this study indicated that the presence of endometrial polyps is a risk factor for infertility and failure of conception after in vitro fertilization.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".