Evidence map›Paper›PMID 40406539›Full record

ArticleMaternal-fetal medicine (Wolters Kluwer Health, Inc.)2023

Chinese Fetal Growth: A Multicenter Cohort Study Based on Fetal Ultrasound Measurements.

Xiaoli Gong, Tianchen Wu, Xiaoli Wang, Lizhen Zhang, Yiping You, Hongwei Wei, Xifang Zuo, Ying Zhou, Xinli Xing, Zhaoyan Meng and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Maternal-fetal medicine (Wolters Kluwer Health, Inc.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

24 authors.

Xiaoli GongDepartment of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China.
Tianchen WuDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
Xiaoli WangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
Lizhen ZhangDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital of Qinhuangdao, Qinhuangdao, Shijiazhuang 066000, China.
Yiping YouDepartment of Obstetrics, Maternal and Child Health Hospital of Hunan, Changsha 410007, China.
Hongwei WeiDepartment of Obstetrics, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530000, China.
Xifang ZuoDepartment of Obstetrics, Tongzhou Maternal and Child Health Hospital of Beijing, Beijing 101100, China.
Ying ZhouDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China.
Xinli XingDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital of Dongchangfu District, Liaocheng, Jinan 252004, China.
Zhaoyan MengDepartment of Obstetrics, Gansu Maternal and Child Health Hospital, Lanzhou 730050, China.
Qi LyuDepartment of Obstetrics and Gynecology, Changchun Obstetrics-Gynecology Hospital, Changchun 130042, China.
Zhaodong LiuDepartment of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350122, China.
Jian ZhangDepartment of Function, Maternal and Child Health Hospital of Shijiazhuang, Shijiazhuang 050051, China.
Liyan HuDepartment of Obstetrics, Shanxi Maternal and Child Health Hospital, Taiyuan 030013, China.
Junnan LiDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Li LiDepartment of Obstetrics, Zhengzhou Central Hospital, Zhengzhou 450007, China.
Chulin ChenDepartment of Obstetrics, Maternal and Child Health Hospital of Changzhi, Changzhi, Taiyuan 046011, China.
Chunyan LiuDepartment of Obstetrics, Maternity and Infant Hospital of Shenyang, Shenyang 110014, China.
Guoqiang SunDepartment of Obstetrics, Hubei Maternal and Child Health Hospital, Wuhan 430070, China.
Aiju LiuDepartment of Obstetrics, Inner Mongolia Maternal and Child Health Hospital, Hohhot 010060, China.
Jingsi ChenDepartment of Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.
Yuan LyuDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang 117004, China.
Yuan WeiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China.
Yangyu ZhaoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, National Clinical Research Center for Obstetrics and Gynecology, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To build a reference fetal growth chart for the Chinese population based on fetal ultrasound measurements. Methods: This was a multicenter, population-based retrospective cohort study. Longitudinal ultrasound measurement data were collected from 24 hospitals in 18 provinces of China from 1 Results: A total of 9075 participants with 31,700 ultrasound measurement records were included in this study. Male fetuses demonstrated significantly larger EFW compared to female ones starting at 16 weeks of gestation and extending to delivery (global test Conclusion: This study provides EFW and ultrasound biometric reference measurements for Chinese fetuses and reveals differences from other fetal growth charts. The chart is worth promoting in more regions of China but should be tested prudently before use.

Indexed as

EpidemiologyFetal developmentGrowth charts

Identifiers

PMID40406539
PMCPMC12094416

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.