Evidence map›Paper›PMID 35733199›Full record

ArticleReproductive biology and endocrinology : RB&E2022

Dose-response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study.

Yiquan Xiong, Jing Wang, Yana Qi, Chunrong Liu, Mingxi Li, Guanhua Yao, Wei Sun, Yongyao Qian, Lishan Ye, Hui Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

14 authors at 3 institutions in 1 country.

Yiquan XiongChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jing WangChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yana QiChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Chunrong LiuChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Mingxi LiChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Guanhua YaoXiamen Health Commission, Xiamen, 361000, China.
Wei SunXiamen Health Commission, Xiamen, 361000, China.
Yongyao QianXiamen Health Commission, Xiamen, 361000, China.
Lishan YeXiamen Health and Medical Big Data Center, Xiamen, 361008, China.
Hui LiuXiamen Health and Medical Big Data Center, Xiamen, 361008, China.
Qiushi XuXiamen Health and Medical Big Data Center, Xiamen, 361008, China.
Kang ZouChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jing TanChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China. tanjing84@outlook.com.
Xin SunChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China. sunxin@wchscu.cn.
Sichuan University · CNXiamen Blood Center · CNSichuan Research Center of New Materials · CN

Funding

1·3·5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYYC08003China Medical Board CMB19-324National Key Research and Development Program of China 2021YFC2701503National Natural Science Foundation of China 71974138National Natural Science Foundation of China 72004148National Natural Science Foundation of China 72174132
6 · The paper itself

Abstract

backgroundThe impact of maternal pre-pregnancy bodyweight on gestational diabetes mellitus (GDM) following assisted reproductive technology (ART) treatment has been insufficiently investigated. The aim of this study was to investigate the association between maternal pre-pregnancy bodyweight and GDM following ART.

methodsFrom January 2014 to March 2019, this population-based retrospective cohort study included pregnancies achieved by ART treatment in a pregnancy registration database in China. Multivariate regression analysis and restricted cubic splines were used to explore the association between bodyweight and GDM.

resultsA total of 6,598 pregnancies were included. The incidence of GDM was 26.0% (1715/6598). A total of 868 (13.2%) pregnant women were underweight, 665 (10.8%) were overweight, and 145 (2.20%) were obesity. We found a linear dose-response relation between maternal body mass index and GDM by restricted cubic splines, where one unit body mass index increase was associated with the 15% elevated risk of GDM (adjusted odds ratio [OR] 1.15, 95% CI 1.08-1.22). Compared to the normal weight group, maternal underweight was associated with lower risk of GDM (adjusted OR 0.68, 95% CI 0.57-0.82), while increased risk was found for overweight (adjusted OR 1.54 95% CI 1.29-1.84) and obesity (adjusted OR 1.74, 95% CI 1.23-2.47).

conclusionsOur study found a linear dose-effect relationship between pre-pregnancy bodyweight and GDM following ART treatment. The findings in this study support the clinical recommendation of advising women with overweight or obesity to lose weight prior to ART treatment.

Indexed as

Diabetes, GestationalBody Mass IndexCohort StudiesFemaleHumansObesityOverweightPregnancyReproductive Techniques, AssistedRetrospective StudiesRisk FactorsThinnessAssisted reproductive technologyBMIDose–response analysisGestational diabetes mellitusPopulation-based study

Identifiers

PMID35733199
PMCPMC9215080
OpenAlexW4283369778

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.