Evidence map›Paper›PMID 29103096›Full record

ReviewCurrent diabetes reports2017

A Decade of Genetic and Metabolomic Contributions to Type 2 Diabetes Risk Prediction.

Jordi Merino, Miriam S Udler, Aaron Leong, James B Meigs

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Observational
  10. Review
  11. Review
  12. Article
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.

Jordi MerinoDiabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA.
Miriam S UdlerDiabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA. mudler@mgh.harvard.edu.
Aaron LeongDiabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA.
James B MeigsPrograms in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA.

Funding

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
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record SystemsK23DK114551 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2017 to 2021
$1000k
NIDDK NIH HHS K23 DK114551NIDDK NIH HHS K24 DK080140NIDDK NIH HHS L30 DK106874NIDDK NIH HHS U01 DK078616
6 · The paper itself

Abstract

purpose of reviewThe purpose of this review was to summarize and reflect on advances over the past decade in human genetic and metabolomic discovery with particular focus on their contributions to type 2 diabetes (T2D) risk prediction. RECENT

findingsIn the past 10 years, a combination of advances in genotyping efficiency, metabolomic profiling, bioinformatics approaches, and international collaboration have moved T2D genetics and metabolomics from a state of frustration to an abundance of new knowledge. Efforts to control and prevent T2D have failed to stop this global epidemic. New approaches are needed, and although neither genetic nor metabolomic profiling yet have a clear clinical role, the rapid pace of accumulating knowledge offers the possibility for "multi-omic" prediction to improve health.

Indexed as

MetabolomicsRisk AssessmentDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenomicsHumansTranslational Research, BiomedicalGenomicsMetabolomicsRisk predictionT2D comorbiditiesType 2 diabetes

Identifiers

PMID29103096
PMCPMC5817914

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.