Evidence map›Paper›PMID 30842961›Full record

ArticleWorld journal of clinical cases2019

Recurrent acute liver failure associated with novel

Jia-Qi Li, Jing-Yu Gong, A S Knisely, Mei-Hong Zhang, Jian-She Wang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Recurrent acute liver failure in infancy - a novelWorld journal of clinical pediatrics · 2026
    Article
  2. Molecular genetics and metabolism reports · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. CALFAN (LowCase reports in hepatology · 2023
    Article
  8. 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

5 authors at 2 institutions in 2 countries.

Jia-Qi LiDepartment of Pediatrics, Jinshan Hospital of Fudan University, Shanghai 201508, China.
Jing-Yu GongDepartment of Pediatrics, Jinshan Hospital of Fudan University, Shanghai 201508, China.
A S KniselyInstitut für Pathologie, Medizinische Universität Graz, Neue Stiftingtalstraße 6, Graz 8010, Austria.
Mei-Hong ZhangDepartment of Pediatrics, Jinshan Hospital of Fudan University, Shanghai 201508, China.
Jian-She WangThe Center for Pediatric Liver Diseases, Children's Hospital of Fudan University, Shanghai 201102, China. jshwang@shmu.edu.cn.
Jinshan Hospital of Fudan University · CNMedical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPediatric recurrent acute liver failure (RALF) with recovery between episodes is rare. Causes include autoimmune disease, which may flare and subside; intermittent exposure to toxins, as with ingestions; and metabolic disorders, among them the fever-associated crises ascribed to biallelic mutations in CASE SUMMARY: We describe a Han Chinese boy in whom fever-associated RALF began at age 14 mo. Bilateral femoral head abnormalities and mild impairment of neurologic function were first noted aged 8 years 6 mo. Liver biopsy after the third RALF episode (7 years) and during resolution of the fourth RALF episode (8 years 6 mo) found abnormal architecture and hepatic fibrosis, respectively. Whole-exome sequencing revealed homozygosity for the novel frameshift mutation c.92_93insGGGCCCT, p.(H32Gfs*20) in

conclusionOur findings expand the mutational and clinical spectrum of

Indexed as

Case reportRecurrent acute liver failureSCYL1Whole-exome sequencing

Identifiers

PMID30842961
PMCPMC6397814
OpenAlexW2915106896

What OpenQuestion holds

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LicenceCC BY-NC
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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.