Evidence map›Paper›PMID 36313754›Full record

ArticleFrontiers in endocrinology2022

Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study.

Xiaoli Gong, Jiaxin Li, Yuanhui Jiang, Pengbo Yuan, Lian Chen, Yike Yang, You Li, Mengxing Sun, Yangyu Zhao, Huifeng Shi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Xiaoli GongDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Jiaxin LiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yuanhui JiangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Pengbo YuanDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Lian ChenDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yike YangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
You LiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Mengxing SunDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yangyu ZhaoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Huifeng ShiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yuan WeiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
National Clinical Research Center for Digestive Diseases · CNPeking University Third Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite the important clinical significance, limited data on the joint contribution of prepregnancy body mass index (BMI) and gestational weight gain (GWG) to preeclampsia, the second leading cause of maternal mortality worldwide. This study aimed to estimate the risk of preeclampsia by GWG among women with varied prepregnancy BMI. Methods: We conducted a retrospective cohort study using data of 117 738 singleton pregnant women aged 18-49 years from 150 maternity hospitals in China between 2015 and 2018. GWG was calculated as the measured weight at the time of preeclampsia assessment minus prepregnancy weight; GWG velocity was calculated as the GWG divided by the gestational age at weighing. The non-linear associations of GWG with preeclampsia were examined by restricted cubic spline regression analysis according to prepregnancy BMI. The association of the GWG categories with preeclampsia was further examined by performing robust Poisson regression stratified by the prepregnancy BMI categories. Results: Among participants, 2426 (2.06%) were diagnosed with preeclampsia. Compared to women with normal BMI, those who were overweight and obese had 1.92- fold (95%CI, 1.73-2.14) and 5.06- fold (95%CI, 4.43-5.78) increased risks for preeclampsia, respectively. The association of GWG velocity with preeclampsia was presented as a J-shaped curve with the varied inflexion point (where the rate of preeclampsia was 2%), which was 0.54, 0.38, and 0.25 kg/week in women with normal BMI, overweight, and obesity, respectively; a steep risk rise was observed along with GWG velocity beyond the inflexion points. The overall adjusted relative risk for preeclampsia was calculated among women with the different GWG categories of GWG. Conclusions: The findings highlight that high prepregnancy BMI and exceed GWG contributed to increased risk of preeclampsia with a superimposed effect and underscore the need to optimize the recommendations for GWG for women with different prepregnancy BMI.

Indexed as

Gestational Weight GainPre-EclampsiaBody Mass IndexFemaleHumansObesityOverweightPregnancyPregnancy OutcomeRetrospective StudiesWeight Gainbody mass indexcohort studygestational weight gainpreeclampsiapregnancy

Identifiers

PMID36313754
PMCPMC9616116
OpenAlexW4306156463

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.