Clinical and economic analysis of rescue intracytoplasmic sperm injection cycles
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To identify clinical and embryological factors that may predict success in rescue intracytoplasmic sperm injection (ICSI) cycles (after total fertilization failure has occurred) and to evaluate the cost effectiveness of rescue ICSI strategy. Additionally, follow-up of 20 rescue ICSI pregnancies is reported. DESIGN: Retrospective analysis of total fertilization failure cycles. SETTING: University-based tertiary medical center. MATERIAL AND METHODS: In total, 92 patients who had undergone conventional in-vitro fertilization (IVF) cycles with total fertilization failure were included. The patients were divided into two subgroups: those who conceived through rescue ICSI and those who did not. RESULTS: The pregnant members of the rescue ICSI subgroup were found to be significantly younger (32.9 ± 4.2 vs. 36.3 ± 4.5, respectively, p = 0.0035,) and to have better-quality embryos than those who did not conceive (cumulative embryo score: 38.3 ± 20.4 vs. 29.3 ± 14.7, p = 0.025). Cost effectiveness analysis showed 25% reduction in the cost per live birth when rescue ICSI is compared to cycle cancellation approach. The pregnancies follow-up did not show adverse perinatal outcome. CONCLUSIONS: Rescue ICSI is an option for salvaging IVF cycles complicated by total fertilization failure. Success in rescue ICSI was found to be associated with younger age and higher quality of embryos. Furthermore, the cost effectiveness of rescue ICSI in terms of total fertilization failure was found to be worthwhile.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it