Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting the unexpected total fertilization failure in conventional in vitro fertilization cycles: What is the role of semen quality?

23 Feb 2023

Abstract excerpt

Background: Male and female gametes factors might contribute to the total fertilization failure (TFF). In first in vitro fertilization (IVF) cycles, decision-making of insemination protocol was mainly based on semen quality for the contribution of female clinical characteristics to TFF remained obscure. The purpose of the study was to evaluate the role of semen quality in predicting unexpected TFF. Methods: A...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Assisted Reproductive Technology and Twin Pregnancy
Share to Ovarian function and disorders
Share to Reproductive Biology and Fertility

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36910155
DOI: 10.3389/fcell.2023.1133512

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting the unexpected total fertilization failure in conventional in vitro fertilization cycles: What is the role of semen quality?PMID 36910155Read ↗

Predicting personalized cumulative live birth rate after a complete in vitro fertilization cycle: an analysis of 32,306 treatment cycles in ChinaSemantic proximity Read ↗

Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identificationSemantic proximity Read ↗

Internal validation and comparison of predictive models to determine success rate of infertility treatments: a retrospective study of 2485 cyclesSemantic proximity Read ↗

Genetic mechanisms of fertilization failure and early embryonic arrest: a comprehensive review.Semantic proximity Read ↗

The clinical impact of oligozoospermia in oocyte donation ICSI cycles using preimplantation genetic test for aneuploidySemantic proximity Read ↗

Using UK/ASRM models and local model to predict the prognosis of IVF in China: a retrospective study.Semantic proximity Read ↗

Women may not benefit from repeated frozen embryo transfers: a retrospective analysis of the cumulative live birth rate of 43 972 womenSemantic proximity Read ↗

Artificial intelligence (AI) approaches to male infertility in IVF: a mapping reviewSemantic proximity Read ↗

The effect of the embryo pooling method on the cumulative live birth rate in poor ovarian responders according to the Bologna criteriaSemantic proximity Read ↗

Mapping performance in 114,237 IVF cycles with donor oocytes reveals reproducible inefficiencies and distinct endophenotypesSemantic proximity Read ↗

Guideline for unexplained couple infertility: misunderstandings on the approach to the male factorSemantic proximity Read ↗

Forecasting Outcomes of Assisted Reproductive Treatments Using Artificial Networks (FORTUNE) classification system: a new prognostic model to predict euploid blastocyst yield in patients undergoing IVFSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.