ArticleJournal of assisted reproduction and genetics2025
IVF success rates in individuals accessing preimplantation genetic testing for monogenic conditions (PGT-M): a single centre retrospective cohort study of 572 IVF cycles.
Article in Journal of assisted reproduction and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Advanced maternal age and assisted reproductive technologies: outcomes, genomics, and real-world evidence.Frontiers in reproductive health · 2026Review
- Universal preimplantation genetic testing for monogenic disease (Karyomapping): diagnosis of >1000 unique disorders with no detected misdiagnoses.Human reproduction (Oxford, England) · 2025Article
- Preimplantation genetic testing for cardiomyopathies: a case series illustrating the clinical and technological perspective.European heart journal. Case reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
purposeTo evaluate live birth rates per embryo transfer where the primary indication for assisted reproduction was preimplantation genetic testing for monogenic conditions.
methodsAll oocytes were fertilized using intracytoplasmic sperm injection. On days 5-7, ~ 5 trophectoderm cells were biopsied. Whole genome amplification was performed on biopsy samples, followed by a karyomapping protocol. Embryos underwent concurrent 24-chromosome screening. Outcomes included the number of stimulated cycles resulting in embryo biopsy, monogenic and aneuploidy screening results, embryo transfers, and clinical pregnancies and live births. Generalized Estimating Equations were used to analyze the relationship between binary clinical outcomes and fertility covariates.
resultsBetween 2015 and 2022, the laboratory biopsied and tested 2344 embryos for monogenic indications, from 527 stimulated cycles. Eight hundred forty-nine biopsied embryos were euploid and low probability of the condition of interest. Five hundred and thirteen embryos were transferred, resulting in 263 clinical pregnancies, and 230 live births. This translated to clinical pregnancy and live birth rates per embryo transfer of 51.3% (95% CI, 47.0-55.6%) and 44.8% (95% CI, 40.6-49.2%). Compared with patients undergoing preimplantation genetic testing without a subfertility factor, patients with a subfertility factor were 48% less likely to achieve a clinical pregnancy per embryo transfer (β = - 0.4797474, p = 0.026) and 42% less likely to achieve a live birth (β = - 0.4172361, p = 0.052).
conclusionsIndividuals accessing preimplantation genetic testing for monogenic conditions have higher clinical pregnancy and live birth rates than couples accessing in vitro fertilization for other indications such as subfertility. These findings confirm that preimplantation genetic testing is an effective reproductive option for Australian carrier individuals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.