Evidence map›Paper›PMID 23307191›Full record

ReviewCurrent diabetes reports2013

Maternal/fetal determinants of insulin resistance in women during pregnancy and in offspring over life.

Marilyn Lacroix, Eralda Kina, Marie-France Hivert

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
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  13. The Molecular Gut-Brain Axis in Early Brain Development.International journal of molecular sciences · 2022
    Review
  14. Induction of human trophoblast stem-like cells from primed pluripotent stem cells.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Goji Berry (Animals : an open access journal from MDPI · 2021
    Article
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  20. 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

3 authors at 1 institution in 2 countries.

Marilyn LacroixDepartment of Medicine, Université de Sherbrooke, 3001, 12e ave Nord, Sherbrooke, QC, Canada.
Eralda Kina
Marie-France Hivert
Université de Sherbrooke · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is a component of the pathophysiology of both type 2 diabetes and gestational diabetes mellitus (GDM), but is also characteristic of normal glycemic physiology during pregnancy. In recent years, many studies have tried to understand determinants of insulin resistance in normal pregnancy and GDM, revealing that the placenta is capable of secreting many cytokines and hormones, classically considered as adipokines. More specifically, it appears that leptin and TNFα could be implicated in gestational insulin resistance and GDM pathophysiology. In addition, the maternal metabolic milieu was also identified as a key determinant of later insulin resistance in offspring, a phenomenon often described as 'fetal programming'. This article reviews the established risk factors and the more novel suspected biomarkers involved in maternal insulin resistance during pregnancy as well as the maternal and early life determinants of insulin resistance in offspring later in their life. We are also highlighting recent reports of the potential mechanisms involved in 'programming' of insulin resistance such as epigenetic modulation.

Indexed as

AdipokinesDiabetes, GestationalDiabetes Mellitus, Type 2FemaleHumansInsulin ResistancePregnancyAdipokines

Identifiers

PMID23307191
OpenAlexW2046523690

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.