Is the cumulative live birth rate following in vitro fertilization (IVF) lower with government coverage than prior to coverage?
Bibliographic record
Abstract
Background: Most studies conclude that the cumulative pregnancy rate depends on embryo quality and quantity, which is directly related to patient’s age. In the best-case scenario, the cumulative pregnancy rate reaches 79% when the number of embryos reaches 15. Other studies reported 75% probability of live birth after 6 cycles of controlled ovarian stimulation and IVF.Methods: Retrospective cohort study comparing IVF cycles between January 2008 to December 2009 (before governmental coverage), and between January 2012 to December 2013. University-affiliated private IVF clinic. 298 good prognosis IVF patients from 2008-2009 and 610 patients from 2012-2013 were included. The cumulative LBR per IVF cycle was the main outcome measure; the secondary outcome measures were the type of protocol used, percentage of ICSI cycles, fertilization rate, proportion of day 3 versus (vs) day 5 embryo transfers, average number of embryos transferred, average number of frozen embryos, the clinical pregnancy rate and the multiple pregnancy.Results: no statistically significant difference in the cumulative LBR; it was 44.8% in 2008-2009 but 40.3% in 2012-2013. p: 0.134. The long agonist protocol was used the most 2008-2009 (75.5% of the cycles) compared to antagonist protocol in 2012-2013 (77.2%) p <0.01. There was no difference in the use of ICSI, but the fertilization rate in 2012-2013 (60.9% vs 65.9%, p=0.001). The proportion of day 3 embryos transferred in 2008-2009 (82.2%) and 2012-2013 (43.9%), p=0.005, and the proportion of day 5 embryos transferred is 3.7% in 2008-2009 but 54.9% in 2012-2013, p<0.001. The average number of embryos transferred in 2008-2009 was 1.96 vs 1.08 in 2012-2013. The average number of frozen embryos per cycle was not significantly different. The clinical pregnancy rate was not significantly different (56.8% vs 54.3%). The multiple pregnancy rate is 19.4% in 2008-2009 and 0.5% in 2012-2013.Conclusions: In good prognosis IVF patients, the cumulative LBR per cycle started was not significantly different after IVF provincial coverage and the move towards eSET on day 3 or day 5. No advantage of transferring multiple embryos in this group of patients, and that transferring one at a time reduces significantly the multiple pregnancy rate and its complications.
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.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".