Evidence mapPaperPMID 39256522Full record

ArticleEuropean journal of clinical nutrition2025

Seeking the optimal gestational weight gain according to the pre-pregnancy body mass index: a cross-sectional study from Shanghai, China.

Jing Gao, Min Li, Shang Gao, Fei Qin, Weiwei Cheng

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2025. 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

5 authors.

Jing Gao *International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China.ORCID 0000-0003-4265-8276
Min Li *International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China.
Shang GaoInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China.
Fei QinSchool of Public Health, Fudan University, Shanghai, 20030, China. qinfei_93@163.com.
Weiwei ChengInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China. wwcheng29@shsmu.edu.cn.ORCID 0009-0007-2007-7629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMaternal nutritional status is closely related to fetal intrauterine development and an abnormal birth weight increases various disease risks across life stages. To better guide pregnancy weight gain, we aimed to explore the optimal weight gain for pregnant women with different body mass indexes (BMIs).

methodsThis retrospective cohort study included 68,981 women with singleton live birth between January 2017 and October 2021 in maternity centres in Shanghai, China. The fluctuations of the incidence of small and large for gestational age (small for gestational age (SGA) and LGA, respectively) were recorded at different maternal pre-pregnancy BMI (p-BMI) and different gestational weight gain (GWG) groups to find the lowest point of abnormal fetal weight incidence. The optimal GWG was then determined using a linear regression equation.

resultThe lowest risk of LGA/SGA was associated with a maternal p-BMI of 19.46 kg/m

conclusionBy merely using the pre-pregnancy BMI, this study has established the optimal GWG equation, with the goal of achieving the appropriate fetal gestational age. It is a practical measure to ensure desirable pregnancy outcomes and meet the health economics requirements.

Indexed as

Body Mass IndexGestational Weight GainAdultBirth WeightChinaCohort StudiesCross-Sectional StudiesFemaleHumansInfant, NewbornInfant, Small for Gestational AgeObesityOverweightPregnancyPregnancy ComplicationsRetrospective Studies

Identifiers

PMID39256522

What Socratic holds

Textmetadata
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 Socratic graph.