Evidence map›Paper›PMID 39091206›Full record

ArticleJournal of perinatal medicine2024

Molecular analysis of 31 cases with fetal skeletal dysplasia.

Ümit Taşdemir, Ömer Gökhan Eyisoy, Murad Gezer, Ali Karaman, Oya Demirci

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Article in Journal of perinatal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ümit TaşdemirDepartment of Obstetrics, Division of Perinatology, Zeynep Kamil Women and Children Diseases Education and Research Hospital, Istanbul, Türkiye.ORCID https://orcid.org/0000-0001-9745-6327
Ömer Gökhan EyisoyDepartment of Obstetrics, Division of Perinatology, Zeynep Kamil Women and Children Diseases Education and Research Hospital, Istanbul, Türkiye.ORCID https://orcid.org/0000-0003-0869-4660
Murad GezerDepartment of Obstetrics, Division of Perinatology, Zeynep Kamil Women and Children Diseases Education and Research Hospital, Istanbul, Türkiye.
Ali KaramanDepartment of Genetics, Zeynep Kamil Women and Children Diseases Education and Research Hospital, Istanbul, Türkiye.
Oya DemirciDepartment of Obstetrics, Division of Perinatology, Zeynep Kamil Women and Children Diseases Education and Research Hospital, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to describe the prenatal ultrasound findings of fetuses with skeletal dysplasia and to evaluate the genetic variations by molecular genetic analysis.

methodsBetween August 1, 2018 and March 1, 2023, we conducted a retrospective case series at a tertiary referral center involving patients with fetal skeletal abnormalities. For cases referred for a possible diagnosis of fetal skeletal dysplasia, an ultrasound database and prenatal genetic counseling records were first searched. Terminated cases diagnosed with skeletal dysplasia by pathologic and radiologic findings and cases with skeletal dysplasia proven by postnatal clinical findings were included in the study.

resultsBetween 2018 and 2023, a total of 64 cases were diagnosed as skeletal dysplasia based on radiologic findings, pathologic findings, and clinical features. The median week of the first ultrasound performed on patients is 19 0/7 weeks, while the median week of the ultrasound in which skeletal dysplasia is suspected is 21 3/7 weeks. Although micromelia was evaluated as a common feature in all cases, the most common concomitant anomaly was thoracic hypoplasia. Exome sequencing analysis was achieved in 31 (48 %) of cases. In 31 cases, in total of 35 pathogenic single gene mutations and 5 VUS (variants of uncertain significance) variants composing of 23 autosomal dominant, 10 autosomal recessive and 2 X linked recessive mutations were determined.

conclusionsPrenatal ultrasound findings can lead us to specific diagnoses, and with the appropriate molecular analysis method, a definitive diagnosis can be made without wasting time and money.

Indexed as

Bone Diseases, DevelopmentalUltrasonography, PrenatalAdultExome SequencingFemaleHumansMaleMutationPregnancyRetrospective Studiesclinical exome sequencingmolecular analysisprenatal ultrasoundskeletal dysplasiawhole exome sequencing

Identifiers

PMID39091206

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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.