Evidence map›Paper›PMID 31444193›Full record

ArticleBMJ open2019

Phenylketonuria incidence in China between 2013 and 2017 based on data from the Chinese newborn screening information system: a descriptive study.

Liangcheng Xiang, Jing Tao, Kui Deng, Xiaohong Li, Qi Li, Xuelian Yuan, Juan Liang, Erling Yu, Meixian Wang, Huiqing Wang and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Progress and Prospects of Newborn Screening in China.International journal of neonatal screening · 2026
    Review
  3. Article
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  6. [Genetic profiling and intervention strategies for phenylketonuria in Gansu, China: an analysis of 1 159 cases].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Liangcheng XiangNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Jing TaoNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Kui DengNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Xiaohong LiNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Qi LiNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Xuelian YuanNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Juan LiangNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Erling YuNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Meixian WangNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China.
Huiqing WangDepartment of Pediatrics, Sichuan University West China Second University Hospital, Chengdu, China.
Hanmin LiuDepartment of Pediatrics, Sichuan University West China Second University Hospital, Chengdu, China.
Jun ZhuNational Office for Maternal and Child Health Surveillance of China, Sichuan University West China Second University Hospital, Chengdu, China zhujun028@163.com.
Sichuan University · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examines the incidence and spatial clustering of phenylketonuria (PKU) in China between 2013 and 2017.

methodsData from the Chinese Newborn Screening Information System were analysed to assess PKU incidence with 95% CIs by province, region and disease severity. Spatial clustering of PKU cases was analysed using global and local spatial autocorrelation analysis in the geographic information system.

resultsThe database contained 4925 neonates with confirmed PKU during the study period, corresponding to an incidence of 6.28 (95% CI: 6.11 to 6.46) per 100 000 neonates screened. Incidence was highest in the provinces of Gansu, Ningxia and Qinghai, where it ranged from 19.00 to 28.63 per 100 000 neonates screened. Overall incidence was higher in the northern part of the country, where classical disease predominated, than in the southern part, where mild disease predominated. PKU cases clustered spatially (global Moran's I=0.3603,

conclusionsChina shows an intermediate PKU incidence among countries, and incidence differs substantially among Chinese provinces and between northern and southern regions. Our results suggest the need to focus efforts on screening, diagnosing and treating PKU in high-incidence provinces.

Indexed as

ChinaCluster AnalysisFemaleGeographic Information SystemsHumansIncidenceInfant, NewbornMaleNeonatal ScreeningPhenylketonuriasSpatial Analysiscluster analysisincidenceneonatal screeningphenylketonuria

Identifiers

PMID31444193
PMCPMC6707664
OpenAlexW2969401324

What OpenQuestion holds

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LicenceCC BY-NC
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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.