Evidence map›Paper›PMID 29202729›Full record

ArticleBMC pregnancy and childbirth2017

Changes in prevalence and perinatal outcomes of congenital hydrocephalus among Chinese newborns: a retrospective analysis based on the hospital-based birth defects surveillance system.

Ling Yi, Chaomin Wan, Changfei Deng, Xiaohong Li, Kui Deng, Yi Mu, Jun Zhu, Qi Li, Yanping Wang, Li Dai

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pregnancy and childbirth, 2017. 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
0.8field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Ling YiNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Chaomin WanPediatric Department, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Changfei DengNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Xiaohong LiNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Kui DengNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Yi MuNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Jun ZhuNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Qi LiNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Yanping WangNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China.
Li DaiNational Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, 610041, China. daili@scu.edu.cn.
West China Second University Hospital of Sichuan University · CNSichuan University · CN

Funding

National Natural Science Foundation of China 81373069
6 · The paper itself

Abstract

backgroundLittle is known about the epidemiology of congenital hydrocephalus (CH) in China. This study aimed to depict recent changes in CH prevalence and perinatal outcomes of the affected newborns.

methodsData were obtained from the Chinese Birth Defects Monitoring Network (CBDMN), which collects demographic information on all newborns above 28 weeks of gestation, and clinical information on neonates with congenital anomalies. CH cases delivered during 2005-2012 were analyzed. Poisson regression was used to calculate prevalence ratios (PR) and 95% confidence intervals, and linear chi-square test was used to examine time trend of CH prevalence.

resultsFive thousand two hundred forty-five isolated and 1245 associated CH cases were identified among 10,574,061 newborns, yielding the prevalence of 4.96, 1.18 and 6.14 per 10,000 births for the isolated, associated and overall hydrocephalus, respectively. The annual prevalence of CH presented a decreasing trend (from 7.52 to 5.98 per 10,000 births, P < 0.001). Higher prevalence was found in both younger (<20 years, PR: 1.81, 95% CI: 1.56-2.10) and older (≥35 years, PR: 1.48, 95% CI: 1.36-1.61) maternal-age groups in comparison with the maternal-age group of 20 to 24 years. Higher prevalence was also found in infants born to mothers resided in rural areas, male infants, and multiple births. Of non-aborted infants with congenital hydrocephalus, 38.11% were born with low birth weight, 37.53% were preterm birth, and 20.69% died within 7 days after birth.

conclusionsOur findings present a relatively high prevalence and poor perinatal outcomes of CH in China, which can serve as a baseline for future study.

Indexed as

Population SurveillanceAdultChinaChi-Square DistributionFemaleHumansHydrocephalusInfant, NewbornMaleMaternal AgePoisson DistributionPregnancyPrevalenceRetrospective StudiesRural PopulationSex FactorsBirth defectsCongenital hydrocephalusNewbornsPerinatal outcomePrevalence

Identifiers

PMID29202729
PMCPMC5715536
OpenAlexW2772688658

What OpenQuestion holds

Textmetadata
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.