Evidence map›Paper›PMID 33682767›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2021

Establishment of a personalized fetal growth curve model.

Xinyu Bao, Yan Wang, Song Zhang, Lin Yang, Guoli Liu, Yimin Yang, Xuwen Li, Dongmei Hao, Aiqing Chen, Xiaohong Liu and 1 more

Abstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2021. 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
–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

2 citing papers in PubMed.

  1. Establishing Chinese Fetal Growth Standards: Why and How.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022
    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

11 authors.

Xinyu BaoFaculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Yan WangPeking University People's Hospital, Beijing 100044, China.
Song ZhangFaculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Lin YangFaculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Guoli LiuPeking University People's Hospital, Beijing 100044, China.
Yimin YangFaculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Xuwen LiFaculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Dongmei HaoFaculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
Aiqing ChenBeijing Yes Medical Devices Co. Ltd., Beijing 100152, China.
Xiaohong LiuBeijing Yes Medical Devices Co. Ltd., Beijing 100152, China.
Jing ShaoBeijing Yes Medical Devices Co. Ltd., Beijing 100152, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFetal weight is one of the important indicators for judging whether fetal growth and development are normal. Fetal weight exceeding the normal range may lead to poor delivery outcomes.

objectiveWe aimed to establish a personalized fetal growth curve in order to effectively monitor fetal growth during pregnancy. Fetal weight can be monitored while fetal growth and development are assessed.

methodsThis study retrospectively analyzed the birth weight and ultrasound database of 3,093 newborns delivered at normal term. The personalized fetal growth curve model was generated based on the birth weight formula established by Gardosi combined with the proportional weight equation.

results(1) The average birth weight of the single fetus at normal term was 3,457g. (2) According to the regression results of the proportion of fetal weight in full-term pregnancy and gestational week, the proportional weight equation is Weight% = 500.9 - 51.60GA + 1.727GA2- 0.01718GA3 (GA is gestational week), R2 is 98%, P< 0.001.

conclusionsIn this study, the normal birth weight of newborns and normal range of fetal weight can be estimated by using the personalized fetal growth curve model.

Indexed as

Infant, Small for Gestational AgeUltrasonography, PrenatalFemaleFetal DevelopmentFetal WeightHumansInfant, NewbornPregnancyRetrospective Studiesbirth weightfetal growth curveFetal weightnormal rangeproportional weight equation

Identifiers

PMID33682767
PMCPMC8150511

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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.