Evidence mapPaperPMID 36751181Full record

ReviewCureus2023

The Roles of Glucagon-Like Peptide 1 (GLP-1) Receptor Agonists and Sodium-Glucose Cotransporter 2 (SGLT-2) Inhibitors in Decreasing the Occurrence of Adverse Cardiorenal Events in Patients With Type 2 Diabetes.

Dalia Shami, John M Sousou, Einas Batarseh, Laith Alazrai

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 4 institutions in 2 countries.

Dalia ShamiGeneral Practice, AlMahabba Hospital, Madaba, JOR.
John M SousouInternal Medicine, Lake Erie College of Osteopathic Medicine, Jacksonville, USA.
Einas BatarsehInternal Medicine, University of Buffalo, Buffalo, USA.
Laith AlazraiInternal Medicine, Jordanian Royal Medical Services, Amman, JOR.
American University of Madaba · JOKing Hussein Medical Center · JOLake Erie College of Osteopathic Medicine · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a metabolic disorder characterized by increased serum glucose due to errors in insulin production or response. The prevalence of diabetes mellitus has continued to rise globally over the years, with roughly 7079 persons per 100,000 expected to be impacted by 2030. A vast number of patients with diabetes mellitus experience unfavorable side effects such as weight gain, hypoglycemia, and hepatorenal toxicity from the several diabetic medications available. These adverse effects may result in life-threatening consequences with a high likelihood of occurrence; therefore, ongoing efforts continue to develop medications with improved tolerability and better glycemic control. Glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter 2 inhibitors (SGLT-2i) are examples of new innovative targeted therapies to manage diabetes mellitus and potentially improve cardiorenal conditions. This review article details the specific mechanisms of action, potential side effects, and cardiorenal benefits of GLP-1RA and SGLT-2i therapies to fully understand their roles in combating type 2 diabetes mellitus (T2D).

Indexed as

cardio-renal cascadecardiovascular disease riskglp-1 receptor agonistshyperglycemia managementsodium-glucose cotransporter-2 (sglt-2) inhibitorstype-2 diabetes mellitus

Identifiers

PMID36751181
PMCPMC9901266
OpenAlexW4313679247

What Socratic 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 Socratic graph.