Evidence map›Paper›PMID 30788014›Full record

ReviewMethodist DeBakey cardiovascular journal

New Therapeutic Strategies for Type 2 Diabetes

Ahmad Yehya, Archana R Sadhu

Open access · diamondAbstract readReview
In one paragraph

Review in Methodist DeBakey cardiovascular journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. BMJ open diabetes research & care · 2020
    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 at 1 institution in 1 country.

Ahmad YehyaHOUSTON METHODIST HOSPITAL, HOUSTON, TEXAS.
Archana R SadhuHOUSTON METHODIST HOSPITAL, HOUSTON, TEXAS.
Methodist Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacological options for treatment of type 2 diabetes (T2D) have advanced rapidly during the last 10 years, allowing clinicians to target different pathophysiological defects in this disease. There are currently 12 different classes of drugs available to treat T2D. The most exciting development is the demonstration of cardiovascular (CV) benefits from two of these new classes, the glucagon-like peptide-1 receptor agonists (GLP-1 RA) and selective sodium glucose transporter 2 (SGLT2) inhibitors. These drugs have challenged conventional algorithms in the management of T2D by exceeding expectations in cardiovascular outcome trials and demonstrating an unexpected reduction in CV events. This review focuses on the physiologic actions and the CV outcomes associated with dipeptidyl peptidase-4 (DPP-4) inhibitor, GLP-1 RA, and SGLT2 inhibitor use. Understanding their potential may revolutionize our approach to the management of T2D.

Indexed as

BiomarkersBlood GlucoseCardiovascular DiseasesDiabetes Mellitus, Type 2Dipeptidyl Peptidase 4Dipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHumansHypoglycemic AgentsIncretinsRisk FactorsSodium-Glucose Transporter 2Sodium-Glucose Transporter 2 InhibitorsTreatment OutcomeBiomarkersBlood GlucoseDipeptidyl Peptidase 4Dipeptidyl-Peptidase IV InhibitorsDPP4 protein, humanGLP1R protein, humanGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsIncretinsSLC5A2 protein, humanSodium-Glucose Transporter 2Sodium-Glucose Transporter 2 Inhibitorscardiovascular diseaseDPP-4GLP-1 RAheart failureincretinsmyocardial infarctionSGLT2type 2 diabetes

Identifiers

PMID30788014
PMCPMC6369623
OpenAlexW2951158011

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.