Evidence map›Paper›PMID 24535206›Full record

ReviewNature reviews. Endocrinology2014

Susceptibility to type 2 diabetes mellitus--from genes to prevention.

Marie-France Hivert, Jason L Vassy, James B Meigs

Abstract readReview
In one paragraph

Review in Nature reviews. Endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  5. Article
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  9. Article
  10. Research Advances in Fusion Protein-Based Drugs for Diabetes Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
  11. Article
  12. Slc2a6 regulates myoblast differentiation by targeting LDHB.Cell communication and signaling : CCS · 2022
    Article
  13. Article
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  15. Article
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  17. Association betweenPeerJ · 2021
    Article
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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

3 authors at 3 institutions in 1 country.

Marie-France HivertDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, 50 Staniford Street, 9th floor, Boston, MA 02114, USA.
Jason L VassySection of General Internal Medicine, VA Boston Healthcare System, Harvard Medical School, 50 Staniford Street, 9th floor, Boston, MA 02114, USA.
James B MeigsGeneral Medicine Division, Massachusetts General Hospital, Harvard Medical School, 50 Staniford Street, 9th floor, Boston, MA 02114, USA.
Harvard Pilgrim Health Care · USMassachusetts General Hospital · USVA Boston Healthcare System · US

Funding

Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
NHGRI NIH HHS U01 HG006500NIDDK NIH HHS K24 DK080140NIDDK NIH HHS L30 DK089597NIDDK NIH HHS R01 DK078616NIDDK NIH HHS U01 DK078616
6 · The paper itself

Abstract

Knowledge of the genetics of type 2 diabetes mellitus (T2DM) has evolved tremendously over the past few years. Following advances in technology and analytical approaches, collaborative case-control genome-wide association studies have revealed up to 65 loci credibly associated with T2DM. Prospective population studies have demonstrated that aggregated genetic risk scores, so-called because they sum the genetic risk attributed to each locus, can predict incident T2DM among individuals of various age ranges and diverse ethnic backgrounds. With each set of T2DM loci discovered, increasing the number of loci in these scores has improved their predictive ability, although a prediction plateau may already have been reached. The current literature shows that intensive lifestyle interventions are effective for preventing T2DM at any level of genetic risk and might be particularly efficacious among individuals with high genetic susceptibility. By contrast, counselling to inform patients about their personal T2DM genetic risk profiles does not seem to improve motivation or attitudes that lead to positive lifestyle behaviour changes. Future studies should investigate the role of genetics for both T2DM prediction and prevention in young populations in the hope of reducing disease burden for future generations.

Indexed as

AdultAge FactorsDiabetes, GestationalDiabetes Mellitus, Type 2EthnicityFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPredictive Value of TestsPregnancyRisk Assessment

Identifiers

PMID24535206
PMCPMC4058643
OpenAlexW1536266250

What OpenQuestion holds

Textmetadata
LicenceTDM
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.