Evidence map›Paper›PMID 36588760›Full record

ArticleMolecular syndromology2022

Rare Transient Infantile Hypertriglyceridemia with Hypoglycemia and Insulin Resistance Caused by a Novel

Yanfang Tan, Wenxian Ouyang, Yuting Ma, Tao Jiang, Lian Tang, Hui Zhang, Zhen Kang, Xiaomei Qin, Ying Yu, Shuangjie Li

Open access · greenAbstract readCase Reports
In one paragraph

Article in Molecular syndromology, 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
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 3 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

10 authors at 2 institutions in 1 country.

Yanfang TanDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Wenxian OuyangDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Yuting MaBGI-Shenzhen Inc, Shenzhen, China.
Tao JiangDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Lian TangDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Hui ZhangDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Zhen KangDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Xiaomei QinDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Ying YuDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Shuangjie LiDepartment of Hepatopathy Center, Hunan Children's Hospital, Changsha, China.
Hunan Children's Hospital · CNBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Transient infantile hypertriglyceridemia (HTGTI) is a rare autosomal recessive disease. At present, only 20 cases of HTGTI have been reported worldwide. Hence, it is necessary to further assess the phenotypic and genetic variation spectra of HTGTI. Case Presentation: A 10-month-old male infant was diagnosed with hypertriglyceridemia, hepatomegaly, liver injury, fasting hypoglycemia, and insulin resistance. Trio-whole exome sequencing (trio-WES) was performed on the patient and his parents. Bioinformatics software was used to analyze the suspected genes and potential pathogenicity of the resulting mutant proteins. The results of trio-WES demonstrated that the patient was homozygous for a novel mutation in the Conclusion: Our results indicated that the novel homozygous mutation in

Indexed as

Genotype-phenotype correlationGPD1Homozygous mutationHTGTITransient infantile hypertriglyceridemia

Identifiers

PMID36588760
PMCPMC9801319
OpenAlexW4226391110

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.