Evidence map›Paper›PMID 29973178›Full record

SynthesisBMC pregnancy and childbirth2018

Excessive gestational weight gain in accordance with the IOM criteria and the risk of hypertensive disorders of pregnancy: a meta-analysis.

Min Ren, Hanying Li, Wei Cai, Xiulong Niu, Wenjie Ji, Zhuoli Zhang, Jianmin Niu, Xin Zhou, Yuming Li

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 75 citations in OpenAlex.

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  4. Placental Gene Expression in Women with Excessive Gestational Weight Gain.International journal of molecular sciences · 2026
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  20. Feasibility and user acceptability of BreezingSmart health (Amsterdam, Netherlands) · 2023
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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

9 authors at 4 institutions in 2 countries.

Min RenGraduate School of Medicine, Tianjin Medical University, Tianjin, 300070, China.
Hanying LiGraduate School of Medicine, Tianjin Medical University, Tianjin, 300070, China.
Wei CaiTianjin Key Laboratory of Cardiovascular Remodeling and Target Organ Injury, Pingjin Hospital Heart Center, 220 Cheng-Lin Road, Tianjin, 300162, China.
Xiulong NiuTianjin Key Laboratory of Cardiovascular Remodeling and Target Organ Injury, Pingjin Hospital Heart Center, 220 Cheng-Lin Road, Tianjin, 300162, China.
Wenjie JiTianjin Key Laboratory of Cardiovascular Remodeling and Target Organ Injury, Pingjin Hospital Heart Center, 220 Cheng-Lin Road, Tianjin, 300162, China.
Zhuoli ZhangDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jianmin NiuShenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Province, Shenzhen, 511400, Guangdong, China.
Xin ZhouTianjin Key Laboratory of Cardiovascular Remodeling and Target Organ Injury, Pingjin Hospital Heart Center, 220 Cheng-Lin Road, Tianjin, 300162, China. xzhou@live.com.
Yuming LiTianjin Key Laboratory of Cardiovascular Remodeling and Target Organ Injury, Pingjin Hospital Heart Center, 220 Cheng-Lin Road, Tianjin, 300162, China. cardiolab@live.com.
Pingjin Hospital · CNNorthwestern University · USShenzhen Maternity and Child Healthcare Hospital · CNTianjin Chest Hospital · CN

Funding

MRI-Guided Irreversible Electroporation Ablation for Liver TumorsR01CA196967 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ZHANG, ZHUOLI · 2015 to 2018
$1.4M
National Key R&D Plan 2017YFC1307600National Natural Science Foundation of China 81570335NCI NIH HHS R01 CA196967Shenzhen Science and Technology Innovation Committee Special Funding for Future Industry JCYJ20170412140326739Tianjin Municipal Science and Technology Commission 15ZXJZSY00010
6 · The paper itself

Abstract

backgroundExcessive gestational weight gain (GWG) is a potential risk factor for hypertensive disorders of pregnancy (HDP).

methodsWe systematically reviewed three electronic databases for relevant articles published in English: PubMed, EMBASE and Web of Science. The Newcastle-Ottawa Scale was used to assess study quality. Random-effects meta-analyses were performed to supply a pooled estimation of the OR comparing the risk of HDP among healthy pregnant women with and without excessive GWG.

resultsThe pooled estimation for the association between excessive GWG and the risk of HDPs yielded an odds ratio (OR) of 1.79 (95% CI: 1.61-1.99). A subgroup analysis showed that women who had excessive GWG were more likely to have an HDP (OR 1.82; 95% CI 1.53-2.17), preeclampsia (OR 1.92; 95% CI 1.36-2.72), or gestational hypertension (OR 1.67; 95% CI 1.43-1.95). The pooled estimation for the association between excessive GWG and the risk of HDPs among pregestational normal weight women yielded an OR of 1.57 (95% CI 1.26-1.96). A subgroup analysis showed that women who had excessive GWG were more likely to have HDP (OR 1.45; 95% CI 1.09-1.92) or gestational hypertension (OR 1.51; 95% CI 1.22-1.86). The summary ORs of pre-gestational underweight women and pre-gestational overweight and obese women were 2.17 (95% CI 1.56-3.02) and 1.32 (95% CI 1.08-1.63), respectively.

conclusionsThe findings of this study suggest that excessive GWG in accordance with the IOM recommendations influences the rate of HDP.

Indexed as

Gestational Weight GainCorrelation of DataFemaleHumansHypertensionHypertension, Pregnancy-InducedPregnancyPregnancy Complications, CardiovascularRisk FactorsGestational weight gainHypertensive disorders of pregnancyIOM recommendationsMeta-analysis

Identifiers

PMID29973178
PMCPMC6030787
OpenAlexW2811474866

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.