Embryo utilisation rate and transferable embryo to oocyte ratio correlate positively with livebirth rate but negatively with oocyte number: analysis of 14,156 fresh IVF/ICSI cycles
Bibliographic record
Abstract
BACKGROUND: The live birth rates (LBRs) do not rise after a certain number of oocytes are collected in fresh IVF cycles. Although the detrimental effect of high ovarian response on the endometrium has been recognised, the effect of high oocyte yield on oocyte competency remains disputed. The purpose of this study was to examine whether high oocyte yield adversely affect the competency of oocytes or embryos. We retrospectively analysed UK's National database (published by Human Fertilisation and Embryology Authority (HFEA)- year 2015-2016) including couples who underwent first IVF treatment with single embryo transfer or had no available embryo, due to tubal or unexplained infertility among women aged < 40 years. RESULTS: Retrospective analysis of 14,156 fresh IVF/ ICSI cycles that met the inclusion criteria revealed an inverse correlation between Embryo Utilisation Rate (EUR) and the oocyte yield (r= -0.250047, p < 0.0001). The Transferable Embryo to Oocyte Ratio (TEOR) also inversely correlated with the number of retrieved oocyte (r = - 0.331431, p < 0.0001). The number of oocytes that did not produce transferable embryos had a stronger positive correlation with oocyte yield (r = 0.916676, p < 0.0001) than those produced transferable embryos (r = 0.569972, p < 0.0001). Both EUR (p = 0.01) and TEOR (P < 0.0001) correlated positively with the live birth except in the women age-group of 38-39 years. Although fertilisation rates remained similar, both EUR and TEOR declined steadily with the increasing number of oocytes until it reached a nadir at around 8-9 oocytes. At this point the LBR in fresh cycles reached its peak. CONCLUSION: The EUR and TEOR decline with increasing oocyte yield while both the ratios have a positive correlation with live birth. Despite declining EUR and TEOR, increasing oocyte yield can still boost fresh cycle LBR until the proportions of transferable embryos fall to a nadir. Thus, the focus needs to be on finding more efficient method for embryo selection and avoid generating too many wasteful oocytes that only pose more risk or raise cost without improving fresh cycle LBR. TRIAL NUMBER: Being a retrospective study, prior registration of the trial was not required. CLINICAL TRIAL NUMBER: Not applicable.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".