Higher blastocyst implantation in frozen versus fresh embryo transfers in good prognosis patients
Bibliographic record
Abstract
BACKGROUND: There is emerging evidence that frozen embryo transfers provide a more favorable environment for implantation as compared to fresh embryo transfers. Our objective was to determine if there is a clinical benefit to frozen versus fresh blastocyst transfers in good prognosis patients. METHODS: Subjects undergoing their first or second IVF/ICSI cycle <38 years of age in an OCP pretreated GnRH antagonist stimulation protocol with supernumerary embryos available for blastocyst cryopreservation were eligible for analysis. Primary transfer was exclusively blastocyst transfer. Exclusion criteria consisted of rescue ICSI, preimplantation genetic testing, donor oocytes, and surrogacy. The cohort was divided into two groups based on whether they underwent a fresh vs. frozen primary transfer. The implantation rates were compared using mixed-effects logistic regression. The clinical pregnancy and live birth rates were compared using logistic regression adjusted for number of oocytes retrieved and number of embryos transferred. All models included age, reason for treatment, and number of prior births as covariates. RESULTS: A total of 615 subjects were included in the study. There were no differences in the two groups with respect to age, BMI, baseline ovarian reserve testing, total gonadotropin dosage, and duration of stimulation. The implantation rate was higher in the frozen-embryo group as compared to the fresh-embryo group (59% and 48% respectively; OR 1.58; 95% CI 1.02-2.44). There was a trend towards higher clinical pregnancy and live birth rates in the frozen-embryo group. These differences persisted in the adjusted analysis. CONCLUSIONS: Among good prognosis patients undergoing IVF, frozen embryo transfer was associated with improved implantation rates. Consideration should be given to primary frozen blastocyst transfer in this population.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".