Evidence map›Paper›PMID 38627060›Full record

ArticleBMJ paediatrics open2024

Comparison of singleton and twin birth weight reference percentile curves by gestational age and sex in extremely preterm infants: a population-based study.

Shuting Song, Zhicheng Zhu, Weiying Mao, Yan Zhu, Rong Zhang, Xinghe Bu, Heqin Li, Yanqing Han, Yuntao Cao, Yuan Gao and 7 more

Open access · diamondAbstract readTwin Study
In one paragraph

Article in BMJ paediatrics open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

17 authors at 10 institutions in 1 country.

Shuting SongDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-5681-5466
Zhicheng ZhuDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Weiying MaoDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-4477-2996
Yan ZhuDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Rong ZhangDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Xinghe BuDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Heqin LiDepartment of Neonatology, Baoji Maternity and Child Care Hospital, Shanxi, China.
Yanqing HanDepartment of Neonatology, Sichuan Provincial Maternal and Child Health Hospital, Sichuan, China.
Yuntao CaoDepartment of Neonatology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yuan GaoDepartment of Neonatalogy, Jinhua Woman's and Children's Hospital, zhejiang, China.
Yin-Ping QiuDepartment of Neonatology, General hospital of Ningxia medical University, Yinchuan, China.
Guangyou WeiDepartment of Neonatology, The People's Hospital of Bozhou, Anhui, China.
Pingping ZhangDepartment of Neonatology, Tianjin First Central Hospital, Tianjin, China.
Jijian XieDepartment of Neonatology, Affiliated Taihe Hospital of Hubei University of Medicine, Hubei, China.
Min WangDepartment of Neonatology, Yichang Central Hospital, Hubei, China.
Chao ChenDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Li ZhuDepartment of Neonatology, Children's Hospital of Fudan University, Shanghai, China zhuli_2023@126.com.
Children's Hospital of Fudan University · CNBozhou People's Hospital · CNChildren's Hospital of Zhejiang University · CNHubei University of Medicine · CNMaternal and Child Health Care Hospital of Bao'an · CNMaternal and Child Health Hospital of Sichuan Province · CNNingxia Medical University · CNTianjin First Center Hospital · CNYichang Central People's Hospital · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the increasing survival rate of smaller newborns and twins, previous growth curves may not accurately assess the growth of extremely preterm infants (EPIs). Our study aimed to establish birth weight percentile curves for singletons and twins in EPIs from China and the USA and compare the differences between them.

methodsIn China, EPIs were from 31 provinces, from 2010 to 2021. The collected information was sex, gestational age, birth weight, singletons and twins. We used the generalised additive models for location scale and shape method to construct the birth weight percentile curves by gestational age and sex for EPIs. The National Vital Statistics System database from 2016 to 2021 was also analysed. We compared the differences between the 50th birth weight percentile curves of the two databases.

resultsWe identified 8768 neonates in China (5536 singletons and 3232 twins) and 121 933 neonates in the USA (97 329 singletons and 24 604 twins). We established the 3rd, 10th, 25th, 50th, 75th, 90th and 97th birth weight reference curves for China and the USA. The results showed that males had higher birth weights than females. In China, for the same gestational age and sex, birth weights in singletons and twins were found to be similar, though singleton males born in China had slightly higher birth weights than male twins. In the USA, birth weights were also similar for females and males, with the same gestational age in singletons and twins.

conclusionWe established birth weight reference percentile curves by gestational age and sex for singletons and twins among EPIs in China and the USA.

Indexed as

Infant, Extremely PrematurePregnancy, TwinBirth WeightFemaleGestational AgeHumansInfant, NewbornMaleTwinsneonatology

Identifiers

PMID38627060
PMCPMC11029334
OpenAlexW4394859019

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.