Study the effect of numbers of transferred embryos on pregnancy rates and abortion rates in day3 and day5 embryo transfer.
Bibliographic record
Abstract
Background: The goal of ART labs over the last ten years was to find embryos with the best chance of implantation. In order to improve selection and increase implantation rates, blastocyst stage transfers on day 5 become more frequent considering that morphology on day 3 embryos may not be a reliable indicator of pregnancy possibility. Study objectives: Our study aimed to assess the clinical outcomes of Day 3 ETs and Day 5 ETs and compare the effect of the number of transferred embryos in clinical pregnancy and early abortion rates performed on (D3 and D5). Patients and Methods: A randomized controlled trial was performed with 200 women under 40 years with primary infertility undergoing ICSI. On day 3 and day 5ET, participants were divided into two groups of 100 each. After ICSI and controlled ovarian hyperstimulation, ET was carried out under ultrasound monitoring. Clinical pregnancy rates and early abortion rates were among the outcome measures. Results: No significant differences were showed among two groups regarding sperm parameters, duration of infertility, oocyte retrieval. Day 5 transfers showed the highest clinical pregnancy (71.9%) followed by day 3 (46.9% and 50.0%). Abortion rates were highest on day 3 (50.0%) and lowest on day 5 (12.1%). Conclusion: Day 5 ET yielded the best pregnancy outcomes when compared with Day 3. Further prospective research is essential to optimize ET numbers and enhance ART outcomes Keywords: blastocyst, cleavage stage, clinical pregnancy, embryo transfer, Early Abortion rate.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".