Evidence map›Paper›PMID 29923088›Full record

ArticleJIMD reports2019

Sialuria: Ninth Patient Described Has a Novel Mutation in GNE.

Noelia Nunez Martinez, Michelle Lipke, Jacqueline Robinson, Bridget Wilcken

Open access · greenAbstract read
In one paragraph

Article in JIMD reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
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  5. [Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Review
  6. Review
  7. Blood · 2018
    Article
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 at 3 institutions in 1 country.

Noelia Nunez MartinezCentre for Medical Genetics, Sydney Children's Hospital, Randwick, NSW, Australia.
Michelle LipkeQueensland Lifespan Metabolic Medicine Service, Lady Cilento Children's Hospital, South Brisbane, QLD, Australia.
Jacqueline RobinsonCentre for Medical Genetics, Sydney Children's Hospital, Randwick, NSW, Australia.
Bridget WilckenCentre for Medical Genetics, Sydney Children's Hospital, Randwick, NSW, Australia. bridget.wilcken@health.nsw.gov.au.
Sydney Children's Hospital · AUQueensland Children’s Hospital · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sialuria is a rare autosomal dominant inborn error of metabolism characterized by cytoplasmic accumulation and urinary excretion of gram quantities of free sialic acid due to failure of feedback inhibition of the rate-limiting enzyme in the sialic acid synthesis pathway, UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE/MNK). To date, eight cases had been published worldwide, all with heterozygous missense variants at the allosteric site, specifically at Arginine 294 (formerly 263) and Arginine 297 (formerly 266) of GNE. The described cases so far have rather homogeneous clinical features which include developmental delay, mildly coarse features, hepatomegaly and prolonged neonatal jaundice. The apparent rarity of this disorder is hypothesized to be due to the variable and sometimes transient nature of the clinical features and to the absence of routine testing for urinary sialic acids. Here we present the ninth case of sialuria diagnosed in a child investigated because of clinical signs and symptoms and furthermore describe a novel pathogenic variant in the associated gene, GNE.

Indexed as

GNEHepatomegalySialic acidsSialuriaUDP acetylglucosamine-2-epimerase

Identifiers

PMID29923088
PMCPMC6323021
OpenAlexW2809008201

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.