Evidence map›Paper›PMID 36468023›Full record

ArticleFrontiers in genetics2022

Case report and a brief review: Analysis and challenges of prenatal imaging phenotypes and genotypes in Joubert syndrome.

Ling-Xi Huang, Xian-Gui Lu, Jiao-Xiang Liu, Ling Xu, Ning Shang, Li Guo, Yan-Chun OuYang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 13% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. A Novel Pathogenic Splicing Mutation ofPharmacogenomics and personalized medicine · 2025
    Article
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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

7 authors at 1 institution in 1 country.

Ling-Xi HuangDepartment of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Xian-Gui LuDepartment of Physical Examination, Guangdong Women and Children Hospital, Guangzhou, China.
Jiao-Xiang LiuDepartment of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Ling XuDepartment of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Ning ShangDepartment of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Li GuoDepartment of Medical Genetic, Guangdong Women and Children Hospital, Guangzhou, China.
Yan-Chun OuYangDepartment of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Guangdong Province Women and Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prenatal imaging phenotypes and genotypes were analyzed in 13 cases prenatally diagnosed with Joubert syndrome (JS), all of which underwent magnetic resonance imaging (MRI), ultrasound, and genetic testing. Prenatal MRI diagnosed 10 cases as JS with a typical molar tooth sign (MTS), while prenatal ultrasound diagnosed or suspiciously diagnosed 11 cases as JS with typical or mild MTS in 10 cases. Mutations in JS-related genes and other prenatal JS imaging phenotypes were identified in 10 cases, including OFD1 in two cases [cerebellar vermis (CV) absence, posterior fossa dilation, ventriculomegaly, polydactyly, malformations of cortical development (MCD), and persistent left superior vena cava], TMEM67 in two cases (CV absence, polydactyly, hyperechoic kidneys or polycystic kidneys, posterior fossa dilation, and ventriculomegaly), CC2D2A in two cases (CV absence, polydactyly, MCD, agenesis of the corpus callosum, encephalocele and hydrocephalus, ventriculomegaly, and posterior fossa dilation), RPGRIP1L in one case (CV absence), TCTN3 in one case (CV absence, polydactyly, MCD, and posterior fossa dilation), CEP290 in one case (CV absence and polycystic kidney), and NPHP1 in one case (CV absence). The prenatal diagnosis of JS presents a number of challenges, including the variants of unknown significance, the lack of functional assessment in prenatal imaging, unclear phenotype-genotype relationships in prenatal evaluation, and the incorrect identification of the JS hallmark, the MTS, in prenatal imaging, especially on ultrasound. Although combined MRI, ultrasound, and exome sequencing could help improve the prenatal diagnosis of JS, there still exist significant challenges.

Indexed as

genotypesimagingJoubert syndromephenotypesprenatal

Identifiers

PMID36468023
PMCPMC9715754
OpenAlexW4309461741

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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.