Evidence map›Paper›PMID 36581404›Full record

ArticleBMJ open2022

Association of maternal lipid levels with birth weight and cord blood insulin: a Bayesian network analysis.

Jingya Wang, Yashu Kuang, Songying Shen, Malcolm James Price, Jinhua Lu, Naveed Sattar, Jianrong He, Marta Pittavino, Huimin Xia, G Neil Thomas and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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
0.6field-weighted citation impact, top 31% 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, 3 citations in OpenAlex.

  1. Review
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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

13 authors at 4 institutions in 3 countries.

Jingya WangDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China qxiu0161@163.com k.nirantharan@bham.ac.uk J.Wang.6@bham.ac.uk.ORCID 0000-0003-1498-2693
Yashu KuangDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Songying ShenDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Malcolm James PriceInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Jinhua LuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-1604-2593
Jianrong HeDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Marta PittavinoUniversity of Geneva, Geneva, Switzerland.
Huimin XiaDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
G Neil ThomasInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Xiu QiuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China qxiu0161@163.com k.nirantharan@bham.ac.uk J.Wang.6@bham.ac.uk.
Kar Keung ChengInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK qxiu0161@163.com k.nirantharan@bham.ac.uk J.Wang.6@bham.ac.uk.ORCID 0000-0002-6816-1279
Guangzhou Medical University · CNUniversity of Birmingham · GBUniversity of Geneva · CHUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the independent association of maternal lipid levels with birth weight and cord blood insulin (CBI) level.

settingThe Born in Guangzhou Cohort Study, Guangzhou, China.

participantsWomen who delivered between January 2015 and June 2016 and with umbilical cord blood retained were eligible for this study. Those with prepregnancy health conditions, without an available fasting blood sample in the second trimester, or without demographic and glycaemic information were excluded. After random selection, data from 1522 mother-child pairs were used in this study. EXPOSURES AND OUTCOME MEASURES: Additive Bayesian network analysis was used to investigate the interdependency of lipid profiles with other metabolic risk factors (prepregnancy body mass index (BMI), fasting glucose and early gestational weight gain) in association with birth weight and CBI, along with multivariable linear regression models.

resultsIn multivariable linear regressions, maternal triglyceride was associated with increased birth weight (adjusted β=67.46, 95% CI 41.85 to 93.06 g per mmol/L) and CBI (adjusted β=0.89, 95% CI 0.06 to 1.72 μU/mL per mmol/L increase), while high-density lipoprotein cholesterol was associated with decreased birth weight (adjusted β=-45.29, 95% CI -85.49 to -5.09 g per mmol/L). After considering the interdependency of maternal metabolic risk factors in the Network analysis, none of the maternal lipid profiles was independently associated with birth weight and CBI. Instead, prepregnancy BMI was the global strongest factor for birth weight and CBI directly and indirectly.

conclusionsGestational dyslipidaemia appears to be secondary to metabolic dysfunction with no clear association with metabolic adverse outcomes in neonates. Maternal prepregnancy overweight/obesity appears the most influential upstream metabolic risk factor for both maternal and neonatal metabolic health; these data imply weight management may need to be addressed from the preconception period and during early pregnancy.

Indexed as

Diabetes, GestationalObesityBayes TheoremBirth WeightBlood GlucoseBody Mass IndexCohort StudiesFemaleFetal BloodHumansInfant, NewbornInsulinPregnancyTriglyceridesBlood GlucoseInsulinTriglyceridesEPIDEMIOLOGYGeneral endocrinologyLipid disordersMaternal medicine

Identifiers

PMID36581404
PMCPMC9806023
OpenAlexW4313331989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.