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Study the effect of numbers of transferred embryos on pregnancy rates and abortion rates in day3 and day5 embryo transfer.

2024· article· en· W4404776791 on OpenAlexaff
Ebrahim A. Sabra, Sherif Gaafar

Bibliographic record

VenueAfrican Journal of Biological Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsSheridan College
Fundersnot available
KeywordsAbortionEmbryo transferEmbryoObstetricsAndrologyGynecologyPregnancyPregnancy rateMedicineBiology

Abstract

fetched live from OpenAlex

Background: The goal of ART labs over the last ten years was to find embryos with the best chance of implantation. In order to improve selection and increase implantation rates, blastocyst stage transfers on day 5 become more frequent considering that morphology on day 3 embryos may not be a reliable indicator of pregnancy possibility. Study objectives: Our study aimed to assess the clinical outcomes of Day 3 ETs and Day 5 ETs and compare the effect of the number of transferred embryos in clinical pregnancy and early abortion rates performed on (D3 and D5). Patients and Methods: A randomized controlled trial was performed with 200 women under 40 years with primary infertility undergoing ICSI. On day 3 and day 5ET, participants were divided into two groups of 100 each. After ICSI and controlled ovarian hyperstimulation, ET was carried out under ultrasound monitoring. Clinical pregnancy rates and early abortion rates were among the outcome measures. Results: No significant differences were showed among two groups regarding sperm parameters, duration of infertility, oocyte retrieval. Day 5 transfers showed the highest clinical pregnancy (71.9%) followed by day 3 (46.9% and 50.0%). Abortion rates were highest on day 3 (50.0%) and lowest on day 5 (12.1%). Conclusion: Day 5 ET yielded the best pregnancy outcomes when compared with Day 3. Further prospective research is essential to optimize ET numbers and enhance ART outcomes Keywords: blastocyst, cleavage stage, clinical pregnancy, embryo transfer, Early Abortion rate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueAfrican Journal of Biological SciencesSame topicAssisted Reproductive Technology and Twin PregnancyFrench-language works237,207