Evidence map›Paper›PMID 32779773›Full record

ArticlePrenatal diagnosis2020

Genetic diagnosis and clinical evaluation of severe fetal akinesia syndrome.

Theresa Reischer, Sandra Liebmann-Reindl, Dieter Bettelheim, Sukirthini Balendran-Braun, Berthold Streubel

Open access · hybridAbstract read
In one paragraph

Article in Prenatal diagnosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Journal of obstetrics and gynaecology of India · 2025
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  8. Diagnostic yield using whole-genome sequencing and in-silico panel of 281 genes associated with non-immune hydrops fetalis in clinical setting.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2022
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4 · The record

Corrections and comments

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 at 1 institution in 1 country.

Theresa ReischerDepartment of Obstetrics and Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-4021-1262
Sandra Liebmann-ReindlCore Facility Genomics, Medical University of Vienna, Vienna, Austria.
Dieter BettelheimDepartment of Obstetrics and Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.
Sukirthini Balendran-BraunClinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.
Berthold StreubelCore Facility Genomics, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this retrospective study, we describe the clinical course, ultrasound findings and genetic investigations of fetuses affected by fetal akinesia. MATERIALS AND

methodsWe enrolled 22 eukaryotic fetuses of 18 families, diagnosed with fetal akinesia between 2008 and 2016 at the Department of Obstetrics and Feto-Maternal Medicine at the Medical University of Vienna. Routine genetic evaluation included karyotyping and chromosomal microarray analysis. Retrospectively, exome sequencing was performed in the index case of 11 families, if stored DNA was available. Confirmation analyses and genetic diagnosis of siblings were performed by using Sanger sequencing.

resultsWhole exome sequencing identified pathogenic variants of CNTN1, RYR1, NEB, GLDN, HRAS and TNNT3 in six cases of 11 families. In three of these families, the variants were confirmed in the respective sibling.

conclusionsThe present study demonstrates a high diagnostic yield of exome sequencing in fetuses affected by akinesia syndrome, especially if family history is positive. Still, in a large part the underlying genetic cause remained unknown, whereas precise clinical evaluation in combination with exome sequencing shows to be the best tool to find the disease causing variants.

Indexed as

ArthrogryposisExome SequencingFemaleHumansMicroarray AnalysisNuchal Translucency MeasurementPregnancyPregnancy OutcomeRetrospective Studies

Identifiers

PMID32779773
PMCPMC7756553
OpenAlexW3048394096

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.