Evidence map›Paper›PMID 23343462›Full record

ReviewItalian journal of pediatrics2013

The origins of health and disease: the influence of maternal diseases and lifestyle during gestation.

Lucetta Capra, Giovanna Tezza, Federica Mazzei, Attilio L Boner

Open access · goldAbstract readReview
In one paragraph

Review in Italian journal of pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
17.2field-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

46 citing papers in PubMed, 98 citations in OpenAlex.

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  17. The effects ofJournal of developmental origins of health and disease · 2021
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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

4 authors at 2 institutions in 1 country.

Lucetta CapraDepartment of Reproduction and Growth, Section of Pediatrics, Azienda Ospedaliera Universitaria Sant'Anna Ferrara, Ferrara, Italy. l.capra@ospfe.it
Giovanna Tezza
Federica Mazzei
Attilio L Boner
University of Verona · ITArcispedale Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the Barker hypothesis, the period of pregnancy and the intrauterine environment are crucial to the tendency to develop diseases like hypertension, diabetes, coronary heart disease, metabolic disorders, pulmonary, renal and mental illnesses. The external environment affects the development of a particular phenotype suitable for an environment with characteristics that closely resemble intrauterine conditions. If the extra-uterine environment differs greatly from the intra-uterine one, the fetus is more prone to develop disease. Subsequent studies have shown that maternal diseases like depression and anxiety, epilepsy, asthma, anemia and metabolic disorders, like diabetes, are able to determine alterations in growth and fetal development. Similarly, the maternal lifestyle, particularly diet, exercise and smoking during pregnancy, have an important role in determining the risk to develop diseases that manifest themselves both during childhood and particularly in adulthood. Finally, there are abundant potential sources of pollutants, both indoor and outdoor, in the environment in which the child lives, which can contribute to an increased probability to the development of several diseases and that in some cases could be easily avoided.

Indexed as

Birth WeightFetal DevelopmentLife StyleMothersPrenatal Exposure Delayed EffectsCardiovascular DiseasesChronic DiseaseDiabetes Mellitus, Type 2Environmental PollutantsFemaleHumansHypertensionInfant, NewbornMetabolic DiseasesPregnancyRisk FactorsEnvironmental Pollutants

Identifiers

PMID23343462
PMCPMC3599191
OpenAlexW2125944062

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.