Evidence mapPaperPMID 31523380Full record

ReviewWorld journal of diabetes2019

Development of therapeutic options on type 2 diabetes in years: Glucagon-like peptide-1 receptor agonist's role intreatment; from the past to future.

Hakan Dogruel, Mustafa Kemal Balci

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Role of mitochondrial DNA in diabetes Mellitus Type I and Type II.Saudi journal of biological sciences · 2022
    Review
  7. Article
  8. Review
  9. Review
  10. The Role of Mitochondrial Mutations and Chronic Inflammation in Diabetes.International journal of molecular sciences · 2021
    Review
  11. Review
  12. Article
  13. Article
  14. Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 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 2 institutions in 1 country.

Hakan DogruelDepartment of Internal Medicine, Antalya Ataturk State Hospital, Antalya 07040, Turkey.
Mustafa Kemal BalciAkdeniz University Faculty of Medicine, Department of Internal Medicine, Division of Endocrinology and Metabolism, Antalya 07070, Turkey. mkbalci@msn.com.
Akdeniz University · TRAntalya Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a chronic metabolic disease characterized by hypergly-cemia. Type 2 diabetes (T2DM) accounting for 90% of cases globally. The worldwide prevalence of DM is rising dramatically over the last decades, from 30 million cases in 1985 to 382 million cases in 2013. It's estimated that 451 million people had diabetes in 2017. As the pathophysiology was understood over the years, treatment options for diabetes increased. Incretin-based therapy is one of them. Glucagon-like peptide-1 receptor agonist (GLP-1 RA) not only significantly lower glucose level with minimal risk of hypoglycemia but also, they have an important advantage in themanagement of cardiovascular risk and obesity. Thus, we will review here GLP-1 RAsrole in the treatment of diabetes.

Indexed as

Dipeptidyl peptidase-4 inhibitorGlucagon-like peptide-1 receptor agonistIncretin-basedtherapyIncretin mimetics

Identifiers

PMID31523380
PMCPMC6715574
OpenAlexW2969183338

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.