Evidence map›Paper›PMID 34633507›Full record

ArticleArchives of gynecology and obstetrics2022

Differential diagnosis of syndromic craniosynostosis: a case series.

Tamara Casteleyn, Denise Horn, Wolfgang Henrich, Stefan Verlohren

Abstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Tamara CasteleynDepartment of Gynecology and Obstetrics, Sana Klinikum Lichtenberg, Berlin, Germany.ORCID 0000-0001-5680-6765
Denise HornInstitute of Medical Genetics and Human Genetics, Charité - Universitätsmedizin, Berlin, Germany.
Wolfgang HenrichDepartment of Obstetrics, Charité - Universitätsmedizin, Berlin, Germany.
Stefan VerlohrenDepartment of Obstetrics, Charité - Universitätsmedizin, Berlin, Germany. Stefan.verlohren@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSyndromic craniosynostosis is a rare genetic disease caused by premature fusion of one or multiple cranial sutures combined with malformations of other organs. The aim of this publication is to investigate sonographic signs of different syndromic craniosynostoses and associated malformations to facilitate a precise and early diagnosis.

methodsWe identified in the period of 2000-2019 thirteen cases with a prenatal suspected diagnosis of syndromic craniosynostosis at our department. We analyzed the ultrasound findings, MRI scans, genetic results as well as the mode of delivery, and postnatal procedures.

resultsEight children were diagnosed with Apert Syndrome, two with Saethre Chotzen syndrome, one with Crouzon syndrome, and one with Greig cephalopolysyndactyly syndrome. One child had a mutation p.(Pro253Leu) in the FGFR2 gene. We identified characteristic changes of the head shape as well as typical associated malformations.

conclusionSecond trimester diagnosis of syndromic craniosynostosis is feasible based on the identified sonographic signs. In case of a suspected diagnosis a genetic, neonatal as well as surgical counseling is recommended. We also recommend to offer a fetal MRI. The delivery should be planned in a perinatal center.

Indexed as

AcrocephalosyndactyliaCraniosynostosesChildDiagnosis, DifferentialFemaleHumansInfant, NewbornMagnetic Resonance ImagingMutationPregnancyApert syndromePrenatal ultrasoundSaethre Chotzen syndromeSyndromic craniosynostosis

Identifiers

PMID34633507
PMCPMC9300495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.