Evidence map›Paper›PMID 16542626›Full record

ReviewCurrent diabetes reports2006

Genetics of type 2 diabetes.

Mark I McCarthy, Eleftheria Zeggini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

2 authors.

Mark I McCarthyOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital Campus, Old Road, Oxford OX3 7LJ, UK. mark.mccarthy@drl.ox.ac.uk
Eleftheria Zeggini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After several years of uncertain progress, the stage is now set for a transformation in understanding the genetic landscape of type 2 diabetes. Advances in genome informatics, genotyping technology, and statistical methodology, allied to availability of large-scale clinical material, are having a salutary effect on susceptibility gene discovery. The advent of genuinely genome-wide association scans and the prospects for combining genetics with high-throughput genomics are additional sources of optimism for the future.

Indexed as

Genetic LinkageDiabetes Mellitus, Type 2Genetic ResearchHumansKcnj11 ChannelPotassium Channels, Inwardly RectifyingPPAR gammaProteinsResearch DesignKcnj11 ChannelPotassium Channels, Inwardly RectifyingPPAR gammaProteins

Identifiers

PMID16542626

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.