Evidence map›Paper›PMID 24324494›Full record

ReviewInternational journal of endocrinology2013

Pharmacogenetics of oral antidiabetic drugs.

Matthijs L Becker, Ewan R Pearson, Ivan Tkáč

Open access · goldAbstract readReview
In one paragraph

Review in International journal of endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Genetic and Epigenomic Modifiers of Diabetic Neuropathy.International journal of molecular sciences · 2021
    Review
  6. Utility of Precision Medicine in the Management of Diabetes: Expert Opinion from an International Panel.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Review
  7. The application of clinical genetics · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Genetics of drug response in type 2 diabetes.Current diabetes reports · 2015
    Review
  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 3 institutions in 3 countries.

Matthijs L BeckerDepartment of Epidemiology, Erasmus MC, 3015 CE Rotterdam, The Netherlands ; Pharmacy Foundation of Haarlem Hospitals, 2035 RC Haarlem, The Netherlands.
Ewan R Pearson
Ivan Tkáč
Stichting Apotheek der Haarlemse Ziekenhuizen · NLUniversity of Dundee · GBUniverzitná Nemocnica Louisa Pasteura · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral antidiabetic drugs (OADs) are used for more than a half-century in the treatment of type 2 diabetes. Only in the last five years, intensive research has been conducted in the pharmacogenetics of these drugs based mainly on the retrospective register studies, but only a handful of associations detected in these studies were replicated. The gene variants in CYP2C9, ABCC8/KCNJ11, and TCF7L2 were associated with the effect of sulfonylureas. CYP2C9 encodes sulfonylurea metabolizing cytochrome P450 isoenzyme 2C9, ABCC8 and KCNJ11 genes encode proteins constituting ATP-sensitive K(+) channel which is a therapeutic target for sulfonylureas, and TCF7L2 is a gene with the strongest association with type 2 diabetes. SLC22A1, SLC47A1, and ATM gene variants were repeatedly associated with the response to metformin. SLC22A1 and SLC47A1 encode metformin transporters OCT1 and MATE1, respectively. The function of a gene variant near ATM gene identified by a genome-wide association study is not elucidated so far. The first variant associated with the response to gliptins is a polymorphism in the proximity of CTRB1/2 gene which encodes chymotrypsinogen. Establishment of diabetes pharmacogenetics consortia and reduction in costs of genomics might lead to some significant clinical breakthroughs in this field in a near future.

Identifiers

PMID24324494
PMCPMC3845331
OpenAlexW2163029902

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.