ArticleJournal of assisted reproduction and genetics2017
Prenatal screening for chromosomal abnormalities in IVF patients that opted for preimplantation genetic screening/diagnosis (PGS/D): a need for revised algorithms in the era of personalized medicine.
Article in Journal of assisted reproduction and genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed, 8 citations in OpenAlex.
- Do patients who achieve pregnancy using IVF-PGS do the recommended genetic diagnostic testing in pregnancy?Journal of assisted reproduction and genetics · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obstetricians offer prenatal screening for most common chromosomal abnormalities to all pregnant women including those that had in vitro fertilization (IVF) and preimplantation genetic screening/diagnosis (PGS/D). We propose that free fetal DNA in maternal circulation together with the second trimester maternal serum alfa feto protein (MSAFP) and ultrasound imaging is the best prenatal screening test for chromosomal abnormalities and congenital anomalies in IVF-PGD/S patients because risk estimations from all other prenatal screening algorithms for chromosomal abnormalities depend heavily on maternal age which is irrelevant in PGS/D patients.
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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.