Evidence map›Paper›PMID 29801583›Full record

ReviewAdvances in pharmacology (San Diego, Calif.)2018

Pharmacogenetics of Antidiabetic Drugs.

Shylaja Srinivasan, Sook Wah Yee, Kathleen M Giacomini

Open access · greenAbstract readReview
In one paragraph

Review in Advances in pharmacology (San Diego, Calif.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Systems Biology to Address Unmet Medical Needs in Neurological Disorders.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Review
  6. Article
  7. 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 1 country.

Shylaja SrinivasanDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States; Division of Pediatric Endocrinology and Diabetes, University of California, San Francisco, San Francisco, CA, United States.
Sook Wah YeeDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States.
Kathleen M GiacominiDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States. Electronic address: kathy.giacomini@ucsf.edu.
University of California, San Francisco · US

Funding

Training Program in Pediatric EndocrinologyT32DK007161 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian J Feldman, STEPHEN E GITELMAN · 1986 to 2026
$6.2M
A comprehensive approach to understanding the determinants of metformin pharmacokinetics and pharmacodynamics in youth with type 2 diabetesK23DK120932 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SRINIVASAN, SHYLAJA · 2020 to 2024
$1.1M
NIDDK NIH HHS K23 DK120932NIDDK NIH HHS T32 DK007161
6 · The paper itself

Abstract

Pharmacogenetic studies of antidiabetic drugs have so far focused largely on response to metformin, which is the first-line therapy for treatment of type 2 diabetes (T2D). The first studies of metformin pharmacogenetics were focused on candidate genes that were implicated in metformin pharmacokinetics and transport. Since 2011, genome-wide association studies have been conducted in large cohorts of individuals with T2D identifying genes that are associated with glycemic response to metformin. There have been fewer pharmacogenetic studies of other antidiabetic drugs, and those have been largely limited to candidate gene studies with small sample sizes. Understanding the pharmacogenetics of antidiabetes medications is important for the integration of genetic screening into therapeutic decision making, and to achieve the goal of "precision medicine" for patients with T2D. In this chapter, we provide a review of the pharmacogenetics investigations of metformin and other antidiabetes medications. In addition, we highlight the importance of collaborative efforts with large sample size and representation from multiple ethnic groups in pharmacogenetics studies.

Indexed as

PharmacogeneticsDiabetes Mellitus, Type 2Genetic LociGenome-Wide Association StudyHumansHypoglycemic AgentsPrecision MedicineHypoglycemic AgentsAcarboseCandidate gene studiesGenome-wide association studiesGenotypingGliflozinsGlucoseHbA1cMeglitinidesMetforminPharmacogeneticsSGLT2 inhibitorsSulfonylureasThiazolidinediones

Identifiers

PMID29801583
PMCPMC10999281
OpenAlexW2803872346

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.