Evidence map›Paper›PMID 36927542›Full record

ArticleBMC medical genomics2023

A retrospective analysis of MS/MS screening for IEM in high-risk areas.

Xiao He, Juan Kuang, Jiahong Lai, Jingxiong Huang, Yijin Wang, Guofeng Lan, Yingjun Xie, Xuekai Shi

Open access · goldFull text read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
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  4. 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

8 authors at 2 institutions in 1 country.

Xiao He *Department of Pediatrics, The Second Nanning People's Hospital, Nanning, 530031, Guangxi, China.
Juan Kuang *Department of Pediatrics, The Second Nanning People's Hospital, Nanning, 530031, Guangxi, China.
Jiahong LaiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, Guangdong, China.
Jingxiong HuangDepartment of Pediatrics, The Second Nanning People's Hospital, Nanning, 530031, Guangxi, China.
Yijin WangDepartment of Pediatrics, The Second Nanning People's Hospital, Nanning, 530031, Guangxi, China.
Guofeng LanDepartment of Pediatrics, The Second Nanning People's Hospital, Nanning, 530031, Guangxi, China.
Yingjun XieDepartment of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, Guangdong, China. xieyjun@mail2.sysu.edu.cn.
Xuekai ShiDepartment of Pediatrics, The Second Nanning People's Hospital, Nanning, 530031, Guangxi, China. ssxxkk0324@126.com.
The Second Nanning People's Hospital · CNThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inborn errors of metabolism (IEM) can lead to severe motor and neurological developmental disorders and even disability and death in children due to untimely treatment. In this study, we used tandem mass spectrometry (MS/MS) for primary screening and recall of those with positive primary screening for rescreening. Further diagnosis was based on biochemical tests, imaging and clinical presentation as well as accurate genetic testing using multi-gene panel with high-throughput sequencing of 130 IEM-related genes. The screening population was 16,207 newborns born between July 1, 2019, and December 31, 2021. Based on the results, 8 newborns were diagnosed with IEM, constituting a detection rate of 1:2,026. Phenylketonuria was the most common form of IEM. In addition, seven genes associated with IEM were detected in these eight patients. All eight patients received standardized treatment starting in the neonatal period, and the follow-up results showed good growth and development. Therefore, our study suggests that MS/MS rescreening for IEM pathogenic variants in high-risk areas, combined with a sequencing validation strategy, can be highly effective in the early detection of affected children. This strategy, combined with early intervention, can be effective in preventing neonatal morbidity and improving population quality.

Indexed as

Metabolism, Inborn ErrorsPhenylketonuriasChildHumansInfant, NewbornNeonatal ScreeningRetrospective StudiesTandem Mass SpectrometryGenetic testingInborn errors of metabolismNewborn screeningSequencingTandem mass spectrometry

Identifiers

PMID36927542
PMCPMC10021976
OpenAlexW4327683216

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LicenceCC BY
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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.