Evidence map›Paper›PMID 32567808›Full record

SynthesisMaternal & child nutrition2020

Maternal overnutrition impairs offspring's insulin sensitivity: A systematic review and meta-analysis.

Szimonetta Eitmann, Dávid Németh, Péter Hegyi, Zsolt Szakács, András Garami, Márta Balaskó, Margit Solymár, Bálint Erőss, Enikő Kovács, Erika Pétervári

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Maternal & child nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
0.7field-weighted citation impact, top 24% 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, 4 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Hypertension: A Continuing Public Healthcare Issue.International journal of molecular sciences · 2024
    Review
  7. Article
  8. High-fat diet during pregnancy promotes fetal skeletal muscle fatty acid oxidation and insulin resistance in an ovine model.American journal of physiology. Regulatory, integrative and comparative physiology · 2023
    Article
  9. Review
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

10 authors at 1 institution in 1 country.

Szimonetta EitmannInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0002-3420-9940
Dávid NémethInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0002-3258-6195
Péter HegyiInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-0399-7259
Zsolt SzakácsInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0002-7035-941X
András GaramiDepartment of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-2493-0571
Márta BalaskóInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-4377-9758
Margit SolymárInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0001-6667-6263
Bálint ErőssInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-3658-8427
Enikő KovácsInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0003-4725-9047
Erika PéterváriInstitute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.ORCID 0000-0002-3673-8491
University of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review and meta-analysis aimed to investigate the association between maternal overnutrition and offspring's insulin sensitivity-following the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. Studies published in English before April 22, 2019, were identified through searches of four medical databases. After selection, 15 studies aiming to explore the association between prepregnancy body mass index (ppBMI) or gestational weight gain (GWG) of non-diabetic mothers and their offspring's insulin sensitivity (fasting insulin or glucose level and Homeostatic Measurement Assessment for Insulin Resistance [HOMA-IR]) were included in the meta-analysis. Associations of ppBMI and GWG with offspring's insulin sensitivity were analysed by pooling regression coefficients or standardized differences in means with 95% confidence intervals (CIs). Maternal ppBMI showed significant positive correlations with the level of both fasting insulin and HOMA-IR in offspring (standardized regression coefficient for fasting insulin: 0.107, CI [0.053, 0.160], p < 0.001 and that for HOMA-IR: 0.063, CI [0.006, 0.121], p = 0.031). However, the result of the analysis on coefficients adjusted for offspring's actual anthropometry (BMI and adiposity) was not significant. Independent from ppBMI, GWG tended to show a positive correlation with insulin level, but not after adjustment for offspring's anthropometry. Offspring of mothers with excessive GWG showed significantly higher HOMA-IR than those of mothers with optimal GWG (p = 0.004). Our results demonstrate that both higher ppBMI and GWG increase the risk of offspring's insulin resistance, but the effect of ppBMI on insulin sensitivity in offspring may develop as consequence of their adiposity.

Indexed as

Gestational Weight GainInsulin ResistanceBody Mass IndexFemaleHumansMothersObesitygestational weight gaininsulin resistanceinsulin sensitivityprepregnancy BMI

Identifiers

PMID32567808
PMCPMC7503101
OpenAlexW3036569147

What Socratic 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 Socratic graph.