Evidence map›Paper›PMID 31451867›Full record

ReviewDiabetologia2019

Paternal impact on the life course development of obesity and type 2 diabetes in the offspring.

Gemma C Sharp, Debbie A Lawlor

Abstract readReview
In one paragraph

Review in Diabetologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Risk Factors in the First 1000 Days of Life Associated With Childhood Obesity: A Systematic Review and Risk Factor Quality Assessment.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  16. Childhood obesity from the genes to the epigenome.Frontiers in endocrinology · 2024
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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

2 authors.

Gemma C SharpMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. gemma.sharp@bristol.ac.uk.
Debbie A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.

Funding

Metabolomic and Epigenomic Mechanisms in Developmental Overnutrition.R01DK103246 · NIDDK · UNIVERSITY OF BRISTOL · PI LAWLOR, DEBORAH ANNE · 2014 to 2018
$2.2M
Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_12013/2Medical Research Council MR/S009310/1Medical Research Council MR/S036520/1NIDDK NIH HHS R01 DK103246
6 · The paper itself

Abstract

The aetiologies of obesity and type 2 diabetes are incredibly complex, but the potential role of paternal influences remains relatively understudied. A better understanding of paternal influences on offspring risk of obesity and type 2 diabetes could have profound implications for public health, clinical practice and society. In this review, we outline potential biological and social mechanisms through which fathers might exert an impact on the health of their offspring. We also present a systematically compiled overview of the current evidence linking paternal factors to offspring development of obesity and type 2 diabetes throughout the life course. Although evidence is accumulating to support paternal associations with offspring outcomes, more high-quality research is needed to overcome specific methodological challenges and provide stronger causal evidence.

Indexed as

AnimalsDiabetes Mellitus, Type 2Epigenesis, GeneticHumansObesityPaternal InheritanceDevelopmental origins of health and diseaseEpigeneticsFathersLife course developmentObesityPaternal effectsReviewType 2 diabetes

Identifiers

PMID31451867
PMCPMC6731203

What OpenQuestion holds

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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.