Evidence map›Paper›PMID 33067281›Full record

ArticleBMJ open2020

Cohort protocol: Guangzhou High-Risk Infant Cohort study.

Pian Hu, Azhu Han, Yan Hu, Yuqi Wen, Jingjing Liang, Wanqi Xiao, Suifang Lin, Yanyan Song, Xuying Tan, Xiaopeng Zhao and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. 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
0.3field-weighted citation impact, top 35% 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, 2 citations in OpenAlex.

  1. Review
  2. 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

15 authors at 2 institutions in 2 countries.

Pian Hu *Department of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-0525-8911
Azhu Han *Department of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yan HuDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yuqi WenDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Jingjing LiangDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Wanqi XiaoDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Suifang LinDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yanyan SongDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China yansong84@126.com.
Xuying TanDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiaopeng ZhaoNeonatal Unit, The Neonatal Medical Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Haipeng DongDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Qianyun LiuDepartment of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huayan ZhangNeonatal Unit, The Neonatal Medical Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Li TaoNeonatal Unit, The Neonatal Medical Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yuan YuanNeonatal Unit, The Neonatal Medical Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNChildren's Hospital of Philadelphia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite the increase in the survival rate of high-risk infants (HRIs) worldwide, the prevalence of motor and neurodevelopmental sequelae in such newborns has not shown concomitant improvement. Meanwhile, there are few cohorts that explore factors related to the development of HRIs in China. Therefore, the Guangzhou High-Risk Infant Cohort (GHRIC) has been designed to examine the complex relationships among a myriad of factors influencing growth and development in such children. METHODS AND ANALYSIS: The GHRIC study is a prospective cohort study that by the year 2023 will enrol an estimated total of 3000 HRIs from Guangzhou Women and Children's Medical Center (GWCMC) in Guangzhou, China. This study is designed to assess the growth and cognitive characteristics of HRIs and the risk factors affecting their development and prognoses. Data on risk factors, neurodevelopmental and cognitive-function evaluations, laboratory results, and specimens will be collected and analysed. Information on perinatal and clinical interventions for these infants will also be recorded during regular follow-up visits until age 6. ETHICS AND DISSEMINATION: The protocol for this study has been approved by the Research Ethics Committee of GWCMC, which accepted responsibility for supervising all of the aspects of the study (No. 2017102712). Study outcomes will be disseminated through conference presentations, peer-reviewed publications, the Internet and social media. TRIAL REGISTRATION NUMBER: ChiCTR-EOC-17013236.

Indexed as

Research DesignChildChinaCohort StudiesFemaleHumansInfantInfant, NewbornPregnancyProspective StudiesRisk Factorsepidemiologyneonatologyprotocols & guidelines

Identifiers

PMID33067281
PMCPMC7569926
OpenAlexW3093406441

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.