Evidence map›Paper›PMID 34373470›Full record

ArticleScientific reports2021

Construction of China national newborn growth standards based on a large low-risk sample.

Xin-Nan Zong, Hui Li, Ya-Qin Zhang, Hua-Hong Wu, Geng-Li Zhao, Working Committee of the China National Newborn Growth Standards Project

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Xin-Nan ZongDepartment of Growth and Development, Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China.
Hui LiDepartment of Growth and Development, Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China. huiligrowth@163.com.
Ya-Qin ZhangDepartment of Growth and Development, Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China.
Hua-Hong WuDepartment of Growth and Development, Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China.
Geng-Li ZhaoDepartment of Gynecology and Obstetrics, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
Working Committee of the China National Newborn Growth Standards Project

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most published newborn growth references are based on conventional monitoring data that usually included both low- and high-risk pregnancies. We sought to develop a set of neonatal growth standards constructed from only a large sample of low-risk pregnancies. A total of 24,375 naturally conceived singleton live births with gestational ages of 24-42 weeks were collected in 69 hospitals in thirteen Chinese cities between 2015 and 2018. Unhealthy infants or those with high-risk mother were excluded. Smoothed percentile curves of six anthropometric indicators were established using the Generalized Additive Model for Location, Scale and Shape. The 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentile references for birth weight, length, head circumference, weight/length, body mass index, and ponderal index were calculated for neonates with gestational ages of 24-42 weeks. This set of neonatal growth standards with six anthropometric indicators can provide more tools for growth and nutrition assessment and body proportionality in neonatal clinical practice. These standards might also help to show the differences between growth curves based on low-risk and mixed low- and high-risk pregnancies.

Indexed as

AdultAnthropometryBirth WeightBody HeightBody Mass IndexCephalometryChinaCitiesCross-Sectional StudiesFemaleFetal DevelopmentGestational AgeHumansInfant, NewbornMaleReference Values

Identifiers

PMID34373470
PMCPMC8352878

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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.