Evidence map›Paper›PMID 37255821›Full record

ReviewJournal of diabetes and metabolic disorders2023

Future treatment of Diabetes - Tyrosine Kinase inhibitors.

Aakash Kumar S, Snehal S Patel, Shreya Patel, Palak Parikh

Open access · greenAbstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2023. 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
0.3field-weighted citation impact, top 47% 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, 3 citations in OpenAlex.

  1. Review
  2. 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 1 institution in 1 country.

Aakash Kumar SDepartment of Pharmacology, Institute of Pharmacy, Nirma University, Sarkhej - Gandhinagar Hwy, Gota, Ahmedabad, Gujarat 382481 India.
Snehal S PatelDepartment of Pharmacology, Institute of Pharmacy, Nirma University, Sarkhej - Gandhinagar Hwy, Gota, Ahmedabad, Gujarat 382481 India.
Shreya PatelDepartment of Pharmacology, Institute of Pharmacy, Nirma University, Sarkhej - Gandhinagar Hwy, Gota, Ahmedabad, Gujarat 382481 India.
Palak ParikhDepartment of Pharmacology, Institute of Pharmacy, Nirma University, Sarkhej - Gandhinagar Hwy, Gota, Ahmedabad, Gujarat 382481 India.
Nirma University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) is a group of metabolic disorders that have an increased risk of macro and micro-vascular complications due to lipid dysfunction. The present drug treatments for the management of DM either have numerous side effects or do not have long-lasting therapeutic effects. So it is essential to find a newer class of drug for DM treatment. Method: Broad information has been researched regarding Tyrosine kinase Inhibitors (TKIs) and their mechanism of action. They are proven for the management of various kinds of cancers. TKIs produce anti-hyperglycemic effects by acting on multiple targets such as c-Abl, Platelet-Derived Growth Factor Receptor (PDGFR), Vascular Endothelial Growth Factor Receptor (VEGFR), Epidermal Growth Factor Receptor (EGFR), and c-Kit. Result: This family of drugs blocks numerous tyrosine kinases by acting as a partial agonist of PPAR-γ receptors and results in an anti-diabetic effect by improving insulin sensitivity and glucose disposal rate. Conclusion: Therefore, it is said that TKI drugs will be great potential for the treatment of Diabetes. This review summarizes the possible targets of TKIs and TKIs being a potential drug class in the management of Diabetes mellitus.

Indexed as

Anti-diabeticDiabetes MellitusInsulin sensitivityPPAR- γ receptorsTyrosine Kinase Inhibitors

Identifiers

PMID37255821
PMCPMC10225458
OpenAlexW4311082858

What Socratic 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 Socratic graph.