Evidence map›Paper›PMID 36653824›Full record

SynthesisBMC medicine2023

Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study.

Ahmed Elhakeem, Justiina Ronkainen, Toby Mansell, Katherine Lange, Tuija M Mikkola, Binisha H Mishra, Rama J Wahab, Tim Cadman, Tiffany Yang, David Burgner and 11 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
16.3field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Observational
  8. Article
  9. 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

21 authors at 12 institutions in 7 countries.

Ahmed ElhakeemMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK. a.elhakeem@bristol.ac.uk.
Justiina RonkainenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Toby MansellMurdoch Children's Research Institute, Parkville, VIC, Australia.
Katherine LangeMurdoch Children's Research Institute, Parkville, VIC, Australia.
Tuija M MikkolaFolkhälsan Research Center, Helsinki, Finland.
Binisha H MishraDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Rama J WahabDepartment of Paediatrics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands.
Tim CadmanMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Tiffany YangBradford Institute for Health Research, Bradford Teaching Hospitals National Health Service Foundation Trust, Bradford, UK.
David BurgnerMurdoch Children's Research Institute, Parkville, VIC, Australia.
Johan G ErikssonFolkhälsan Research Center, Helsinki, Finland.
Marjo-Riitta JärvelinResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Romy GaillardDepartment of Paediatrics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands.
Vincent W V JaddoeDepartment of Paediatrics, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, Netherlands.
Terho LehtimäkiDepartment of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Richard SafferyMurdoch Children's Research Institute, Parkville, VIC, Australia.
Melissa WakeMurdoch Children's Research Institute, Parkville, VIC, Australia.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals National Health Service Foundation Trust, Bradford, UK.
Sylvain SebertResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Deborah A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Erasmus University Rotterdam · NLMurdoch Children's Research Institute · AUUniversity of Oulu · FIFimlab (Finland) · FINational Health Service · GBThe University of Melbourne · AUFolkhälsans Forskningscentrum · FIMRC Epidemiology Unit · GBSingapore Institute for Clinical Sciences · SGTurku University Hospital · FIUniversity of Bristol · GBUniversity of Copenhagen · DK

Funding

British Heart Foundation AA/18/1/34219British Heart Foundation CH/F/20/90003British Heart Foundation CS/16/4/32482Horizon 2020 Framework Programme 101021566Horizon 2020 Framework Programme 733206Horizon 2020 Framework Programme 874739Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_PC_21038Medical Research Council MC_UU_00011/6Medical Research Council MR/N024397/1
6 · The paper itself

Abstract

backgroundCommon pregnancy and perinatal complications are associated with offspring cardiometabolic risk factors. These complications may influence multiple metabolic traits in the offspring and these associations might differ with offspring age.

methodsWe used data from eight population-based cohort studies to examine and compare associations of pre-eclampsia (PE), gestational hypertension (GH), gestational diabetes (GD), preterm birth (PTB), small (SGA) and large (LGA) for gestational age (vs. appropriate size for gestational age (AGA)) with up to 167 plasma/serum-based nuclear magnetic resonance-derived metabolic traits encompassing lipids, lipoproteins, fatty acids, amino acids, ketones, glycerides/phospholipids, glycolysis, fluid balance, and inflammation. Confounder-adjusted regression models were used to examine associations (adjusted for maternal education, parity age at pregnancy, ethnicity, pre/early pregnancy body mass index and smoking, and offspring sex and age at metabolic trait assessment), and results were combined using meta-analysis by five age categories representing different periods of the offspring life course: neonates (cord blood), infancy (mean ages: 1.1-1.6 years), childhood (4.2-7.5 years); adolescence (12.0-16.0 years), and adulthood (22.0-67.8 years).

resultsOffspring numbers for each age category/analysis varied from 8925 adults (441 PTB) to 1181 infants (135 GD); 48.4% to 60.0% were females. Pregnancy complications (PE, GH, GD) were each associated with up to three metabolic traits in neonates (P≤0.001) with some evidence of persistence to older ages. PTB and SGA were associated with 32 and 12 metabolic traits in neonates respectively, which included an adjusted standardised mean difference of -0.89 standard deviation (SD) units for albumin with PTB (95% CI: -1.10 to -0.69, P=1.3×10

conclusionsThese reassuring findings suggest little evidence of wide-spread and long-term impact of common pregnancy and perinatal complications on offspring metabolic traits, with most associations only observed for newborns rather than older ages, and for perinatal rather than pregnancy complications.

Indexed as

Diabetes, GestationalHypertension, Pregnancy-InducedPre-EclampsiaPregnancy ComplicationsPremature BirthAdolescentAdultChildCohort StudiesFatty AcidsFemaleHumansInfantInfant, NewbornLipoproteinsMaleFatty AcidsLipoproteinsCohortLife courseMetabolomics

Identifiers

PMID36653824
PMCPMC9850719
OpenAlexW4317390671

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.