Outcomes of Secondary Ovulation Induction Following Failed Oocyte Pick-Up in In Vitro Fertilization (IVF) Cycles: A Retrospective Observational Study
Bibliographic record
Abstract
INTRODUCTION: Failed oocyte pick-up (FOPU) is the absence of oocyte retrieval from mature follicles after ovulation induction in in vitro fertilization (IVF) cycles. The incidence of FOPU is rare in IVF cycles. METHODS: This retrospective cohort single-center study compared a 36-hour time interval between a second trigger and ovum pick-up (OPU) in FOPU and a 24-hour time interval between a second trigger and OPU in FOPU. In total, 62 couples with FOPU between July 2011 and April 2024 were included in the study. Of the 62 patients included, 49 underwent a 36-hour time interval between trigger and OPU (group 1), and 13 couples underwent a 24-hour time interval between trigger and OPU (group 2). The primary outcome measured was oocyte retrieval, and the secondary outcomes were fertilization, blastocyst, and pregnancy rates. RESULTS: We compared 49 patients from group 1 and 13 from group 2. After a 36-hour time interval, oocyte retrieval in group 1 was significantly higher than that in group 2 (8.3 ± 5.7 versus 2.7 ± 3.8, p < 0.001). Furthermore, fertilization, blastocyst, and pregnancy rates were significantly higher in group 1 than in group 2, respectively (61% versus 13.8%, p < 0.001; 32.8% versus 0%, p < 0.001; and 37.8% versus 0%, p < 0.001). CONCLUSION: Strong evidence for overcoming primary impaired oocyte retrieval is still lacking in the literature. However, a 36-hour time interval between a second trigger and OPU seems ideal for FOPU cases. Therefore, communication between the physician and embryologist is crucial during OPU to detect such cases, especially in couples with a history of FOPU.
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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 | 0.005 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".