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Record W4283757728 · doi:10.1093/humrep/deac107.692

P-748 Cesarean scar defect does not predict embryo transfer outcomes: A retrospective cohort study

2022· article· en· W4283757728 on OpenAlexaffabout
Jenna Gale, Andrea Lanes, Brigitte Corran, Vanessa Bacal, Vincent Nguyen, Doron Shmorgun, Shikshita Singh, M. Walker

Bibliographic record

VenueHuman Reproduction · 2022
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversity of TorontoMount Sinai HospitalOttawa Fertility CentreOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineLive birthPregnancyRetrospective cohort studyEmbryo transferMiscarriageObstetricsCohort studyFertilityCohortCesarean deliveryGynecologyPopulationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Study question Is the presence of a cesarean scar defect associated with live birth outcomes at the time of embryo transfer? Summary answer The presence of a cesarean scar defect is not predictive of live birth rates at the time of embryo transfer. What is known already Cesarean delivery is associated with subsequent impaired fertility, with lower pregnancy and live birth rates and longer inter-pregnancy intervals, compared to patients who delivered vaginally. Studies exploring pregnancy rates after IVF and embryo transfer also suggest lower pregnancy rates among patients with prior cesarean delivery. A postulated mechanism by which a prior cesarean delivery may impact fertility is the cesarean scar defect, and prior studies have shown a possible association between a scar defect and suboptimal outcomes. Study design, size, duration We retrospectively identified a patient cohort based out of the Ottawa Fertility Centre in Ottawa, Ontario, Canada, between 2013 and 2019. Participants/materials, setting, methods This retrospective cohort study included 317 patients with a prior cesarean delivery. Embryo transfer outcomes compared between the two groups based on the finding of a cesarean scar defect. The primary outcome was live birth rate, secondary outcomes of positive hCG, clinical intrauterine pregnancy, miscarriage rate. We fit a multivariate log binomial regression model with a priori variables for the primary and secondary outcomes, adjusting for patient and cycle characteristics. Main results and the role of chance There was no statistically significant difference in live birth rate among patients with a cesarean scar defect compared to those without, 28.0% vs 29.5% respectively (adjusted RR 0.95, 95% CI 0.68-1.35). There was no statistically significant difference in any of the secondary outcomes. Area of the defect and subgroup analysis of fresh vs frozen embryo transfer did not demonstrate any difference. Secondary analysis of patients with retroverted uterus had significantly lower live birth rates compared to those with an anteverted uterus, 17.7% vs 32.4%, respectively (adjusted RR 0.56, 95% CI 0.34-0.91). Limitations, reasons for caution Although a multivariate log binomial model was used to adjust for clinically relevant confounders, there remains the possibility for residual confounding given the observational nature of our study. Wider implications of the findings The results of our study suggest that, after adjusting for patient and cycle characteristics, the presence of a cesarean scar defect may not impact live birth outcomes and secondary analysis of the impact of uterine retroversion requires more study. Trial registration number Not applicable

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.033
GPT teacher head0.332
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

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