Reply: Extended culture and the risk of preterm delivery in singletons: confounding by indication?
Bibliographic record
Abstract
Sir, We read the above letter with interest and thank Drs Forman, Werner and Scott for their comments. We naturally agree that the goal of assisted reproduction techniques is a healthy baby, born at term, and that elective single embryo transfer (eSET) is the best way to avoid multiple pregnancy and its associated risk of preterm delivery and other complications. In the majority of clinics worldwide, Day 3 embryo transfer is still the standard of care. A recent Cochrane meta-analysis showed the superiority, in terms of pregnancy and take home baby rates, of blastocyst transfer over Day 3 transfer when equal numbers of embryos were transferred and randomization occurred on Day 3. However, this was only true for ‘good prognosis patients’; there was no advantage to blastocyst culture for unselected or ‘poor prognosis patients’ (Glujovsky et al., 2012). In addition, transfer of more than one blastocyst resulted in a higher multiple pregnancy rate. Among some differences that have been reported between Days 3 and 5 embryos are increased monozygotic twinning and a higher male–female ratio in pregnancies after blastocyst transfer. In a recent meta-analysis, the odds ratio for monozygotic twins was 3.04 [95% confidence interval (CI): 1.54–6.01] and for male–female ratio was 1.29 (95% CI 1.10–1.51) (Chang et al., 2009). Babies born after Day 5 embryos are also larger for gestational age when compared with Day 3 embryos (Mäkinen et al., 2013). These findings, in our opinion, cannot be explained by differences in the a priori risk of the two populations, but rather stem from embryonic factors related to Day 3 versus Day 5 culture. In order to further address the valid concerns of Forman et al., we re-analyzed our data for primiparas alone (i.e. excluding women who had a prior preterm delivery or cervical incompetence). They represented 82% of our population. In this subpopulation, preterm birth remained significantly increased in the Day 5 group (14.4% for Day 3 versus 17.8% for Day 5, P < 0.001). Unfortunately, we do not have data for other contraindications for multiple gestations, such as uterine anomalies or serious underlying medical conditions, but we would hazard to guess that these indications would represent a small minority of this population. Therefore, controlling for these remaining factors is unlikely to alter the findings, but this needs to be evaluated in future studies. Although we did adjust for the number of embryos transferred, we do agree with Forman et al., that there is a need to compare Day 3 eSET to Day 5 eSET in future studies. The three studies published recently (Källén et al., 2010; Kalra et al., 2011; Dar et al., 2013) represent the aggregated data from over 68 000 cleavage stage transfers and 27 000 blastocyst transfers, and each showed a significant difference in preterm births. As we pointed out in Dar et al. (2013), animal studies also support a biological plausibility that culture media components and culture systems involved in prolonged culture could affect embryo development and subsequent fetal–placental development. Therefore, we still contend that future studies should address safety and improvements in culture media and/or culture systems in order to reduce potential adverse effects of extended culture on human embryos, and also to investigate methods to improve Day 3 embryo selection, potentially reducing the need for prolonged in vitro culture.
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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 | 0.006 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.054 | 0.036 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".