Evidence map›Paper›PMID 40804416›Full record

ArticleOrphanet journal of rare diseases2025

Clinical characteristics and long-term outcomes of 101 patients with urea cycle disorders in China.

Ziyan Cen, Pingping Ge, Yuhe Chen, Ting Zhang, Peiyao Wang, Lingwei Hu, Benqing Wu, Xinwen Huang

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. The Role of Urea Cycle Functional Studies in Preclinical Research.Journal of inherited metabolic disease · 2026
    Review
  2. Review
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

8 authors.

Ziyan Cen *Department of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Pingping Ge *Department of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Yuhe ChenDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Ting ZhangDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Peiyao WangDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Lingwei HuDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China.
Benqing WuChildren's Medical Center, University of the Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, 518106, Guangdong, China. wubenqing783@126.com.
Xinwen HuangDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Binjiang District, Hangzhou, 310053, Zhejiang, China. 6305022@zju.edu.cn.ORCID http://orcid.org/0000-0003-1124-7044

Funding

National Natural Science Foundation of China 82073560Zhejiang Association for Science and Technology 2024C03152
6 · The paper itself

Abstract

backgroundUrea cycle disorders (UCDs) are a group of rare genetic metabolic disorders characterized by hyperammonemia, which can lead to neurological damage, systemic complications, and even death. Understanding UCDs' clinical features and progression in the Chinese population will fill research gaps and benefit patients globally.

methodsThis retrospective study evaluated the clinical, biochemical, genetic characteristics, and long-term outcomes in 101 Chinese patients with six subtypes of UCDs between 2007 and 2024. Data were collected from medical records and analyzed.

resultsThe overall survival rate was 93.0% among UCD patients. An equal gender ratio was observed in ornithine transcarbamylase deficiency. Newborn screening (NBS) was conducted in this cohort, and 57.0% of patients were diagnosed through NBS. Neurological and gastrointestinal symptoms were the most common. Symptoms often appeared within the first year, especially in the first month. Arginine was the most frequently used treatment, with glycerol phenylbutyrate often used as a nitrogen scavenger in severe cases. Biochemical analysis showed subtype-specific differences, including notable declines in leucine and glycine on low-protein diets. Genetic analysis revealed a wide distribution of mutations, with few hotspots and 17 newly identified mutations. Clinically diagnosed patients had worse outcomes than those diagnosed via newborn screening.

conclusionThis study is the first to describe the clinical features and long-term outcomes of UCDs in a large sample of Chinese patients, highlighting the importance of newborn screening for early diagnosis and improved treatment outcomes.

Indexed as

Urea Cycle Disorders, InbornAdolescentAdultChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMutationNeonatal ScreeningOrnithine Carbamoyltransferase Deficiency DiseaseRetrospective StudiesGenetic mutationsHyperammonemiaLong-term outcomesNewborn screeningUrea cycle disorders

Identifiers

PMID40804416
PMCPMC12351844

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Registered trials

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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.