Evidence map›Paper›PMID 16881892›Full record

ReviewMaternal & child nutrition2005

The developmental origins of adult disease.

Peter D Gluckman, Mark A Hanson, Catherine Pinal

Open access · greenAbstract readReview
In one paragraph

Review in Maternal & child nutrition, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 4 pooled it
20.3field-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

173 citing papers in PubMed, 4 syntheses or guidelines pooled it, 478 citations in OpenAlex.

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  18. Body Size and Risk of Death During the 1918 Influenza Pandemic in Alaska.American journal of human biology : the official journal of the Human Biology Council · 2025
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113 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Peter D GluckmanLiggins Institute, University of Auckland, 2-6 Park Avenue, Grafton, Private Bag 92019, Auckland, New Zealand. pd.gluckman@auckland.ac.nz
Mark A Hanson
Catherine Pinal
University of Auckland · NZUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological and clinical observations have led to the hypothesis that the risk of developing some chronic diseases in adulthood is influenced not only by genetic and adult lifestyle factors, but also by environmental factors acting in early life. These factors act through the processes of developmental plasticity and possibly epigenetic modification, and can be distinguished from developmental disruption. The concept of predictive adaptation has been developed to explain the relationship between early life events and the risk of later disease. At its base, the model suggests that a mismatch between fetal expectation of its postnatal environment and actual postnatal environment contribute to later adult disease risk. This mismatch is exacerbated, in part, by the phenomenon of "maternal constraint" on fetal growth, which implicitly provides an upper limit of postnatal nutritional environment that humans have adapted for and is now frequently exceeded. These experimental, clinical and conceptual considerations have important implications for prevention and intervention in the current epidemic of childhood obesity and adult metabolic and cardiovascular disorders.

Indexed as

Models, BiologicalBirth WeightCardiovascular DiseasesChildChild DevelopmentChild, PreschoolChronic DiseaseDiabetes MellitusFemaleFetal DevelopmentHumansInfantInfant, NewbornMaleObesityPregnancy

Identifiers

PMID16881892
PMCPMC6860944
OpenAlexW1968215122

What OpenQuestion holds

Textmetadata
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.