Evidence map›Paper›PMID 29235540›Full record

ReviewJournal of human genetics2018

Characteristic dysmorphic features in congenital disorders of glycosylation type IIb.

Yoon-Myung Kim, Go Hun Seo, Euiseok Jung, Ja-Hyun Jang, Sook Za Kim, Beom Hee Lee

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

Review in Journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Yoon-Myung KimDepartment of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0001-8239-7301
Go Hun SeoDepartment of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, Seoul, Korea.
Euiseok JungDepartment of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, Seoul, Korea.
Ja-Hyun JangGreen Cross Genome, Yongin, Korea.
Sook Za KimKorea Genetic Research Center/ KSZ Children's Hospital, Cheongju, Korea.
Beom Hee LeeDepartment of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, Seoul, Korea. bhlee@amc.seoul.kr.
Ulsan College · KRCheongju St. Mary's Hospital · KRGreen Cross (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over 100 types of congenital disorders of glycosylation (CDG) have been reported and the number is rapidly increasing. However, each type is very rare and is problematic to diagnose. Mannosyl-oligosaccharide glucosidase (MOGS)-CDG (CDG type IIb) is an extremely rare CDG that has only been reported in three patients from two unrelated families. Using targeted exome sequencing, we identified another patient affected by this condition. This patient had increased serum trisialotransferrin levels. Importantly, a review of the features of all four patients revealed the recognizable clinical hallmarks of MOGS-CDG. The distinct dysmorphic features of this condition include long eyelashes, retrognathia, hirsutism, clenched overlapped fingers, hypoventilation, hepatomegaly, generalized edema, and immunodeficiency.

Indexed as

Genetic Association StudiesPhenotypeAllelesalpha-GlucosidasesAmino Acid SubstitutionBiomarkersCongenital Disorders of GlycosylationDNA, MitochondrialExome SequencingGenotypeHumansInfantKaryotypeMaleMutationalpha-GlucosidasesBiomarkersDNA, Mitochondrialglucosidase I

Identifiers

PMID29235540
OpenAlexW2772452313

What OpenQuestion holds

Textmetadata
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.