Evidence map›Paper›PMID 37537594›Full record

ArticleOrphanet journal of rare diseases2023

China nationwide landscape of 16 types inherited metabolic disorders: a retrospective analysis on 372,255 clinical cases.

Beibei Zhao, Peichun Chen, Xuhui She, Xiuru Chen, Zhou Ni, Duo Zhou, Zinan Yu, Chang Liu, Xinwen Huang

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2023. 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
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

9 authors at 4 institutions in 1 country.

Beibei Zhao *Department of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, 3333 Bisheng Road, Hangzhou City, 310052, Zhejiang Province, China.
Peichun Chen *Shenzhen Guangming Maternity and Child Healthcare Hospital, University of Chinese Academy of Science, No.39 of Huaxia Road, Guangming District, Shenzhen, 518107, Guangdong, China.
Xuhui She *Clinical Mass Spectrometry Center, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou International Bioisland, No.10 Luoxuan Third Road, Guangzhou City, 510005, Guangdong Province, China.
Xiuru ChenClinical Mass Spectrometry Center, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou International Bioisland, No.10 Luoxuan Third Road, Guangzhou City, 510005, Guangdong Province, China.
Zhou NiClinical Mass Spectrometry Center, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou International Bioisland, No.10 Luoxuan Third Road, Guangzhou City, 510005, Guangdong Province, China.
Duo ZhouDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, 3333 Bisheng Road, Hangzhou City, 310052, Zhejiang Province, China.
Zinan YuDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, 3333 Bisheng Road, Hangzhou City, 310052, Zhejiang Province, China.
Chang LiuClinical Mass Spectrometry Center, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou International Bioisland, No.10 Luoxuan Third Road, Guangzhou City, 510005, Guangdong Province, China.
Xinwen HuangDepartment of Genetics and Metabolism, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, 3333 Bisheng Road, Hangzhou City, 310052, Zhejiang Province, China. 6305022@zju.edu.cn.ORCID http://orcid.org/0000-0003-1124-7044
Kingmed Diagnostics · CNChildren's Hospital of Zhejiang University · CNKey Laboratory of Guangdong Province · CNShenzhen Maternity and Child Healthcare Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInherited metabolic disorders (IMDs) usually occurs at young age and hence it severely threatening the health and life of young people. While so far there lacks a comprehensive study which can reveals China's nationwide landscape of IMDs. This study aimed to evaluate IMDs incidence and regional distributions in China at a national and province level to guide clinicians and policy makers.

methodsThe retrospective study conducted from January 2012 to March 2021, we analyzed and characterized 372255 cases' clinical test information and diagnostic data from KingMed Diagnostics Laboratory. The samples were from 32 provincial regions of China, the urine organic acids were detected by gas chromatography-mass spectrometry (GC-MS), amino acids and acylcarnitines in dried blood spots were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS). We did a statistical analysis of the distribution of the 16 most common IMDs in amino acid disorders and organic acidemias, and then paid special attention to analyze the age and regional distributions of different IMDs. The statistical analyses and visualization analysis were performed with the programming language R (version 4.2.1).

resultsThere were 4911 positive cases diagnosed, which was 1.32% of the total sample during the ten-year study period. Most diseases tended to occur at ages younger than 18 year-old. The Ornithine Transcarbamylase Deficiency tended to progress on male infants who were less than 28 days old. While the peak of the positive case number of Citrin Deficiency disease (CD) was at 1-6 months. Different IMDs' had different distribution patterns in China's provinces. Methylmalonic Acidemias and Hyperphenylalaninemia had an imbalanced distribution pattern in China and its positive rate was significantly higher in North China than South China. Conversely, the positive rate of CD was significantly higher in South China than North China.

conclusionsResults of this work, such as the differences in distribution pattern of different diseases in terms of age, region, etc. provide important insights and references for clinicians, researchers and healthcare policy makers. The policy makers could optimize the better health screening programs for covering children and infants in specific ages and regions based on our findings.

Indexed as

Metabolic DiseasesTandem Mass SpectrometryAdolescentChildChinaChromatography, LiquidHumansInfantMaleRetrospective StudiesAmino acids and acylcarnitinesChinaIncidence and regional distributionsInherited metabolic disordersOrganic acids

Identifiers

PMID37537594
PMCPMC10398906
OpenAlexW4385552955

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.