Evidence map›Paper›PMID 24156506›Full record

ReviewJournal of biomedical science2013

Association of genetic polymorphism of PPARγ-2, ACE, MTHFR, FABP-2 and FTO genes in risk prediction of type 2 diabetes mellitus.

Shania Abbas, Syed Tasleem Raza, Faisal Ahmed, Absar Ahmad, Saliha Rizvi, Farzana Mahdi

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of biomedical science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
2.8field-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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  8. Food technology and biotechnology · 2023
    Review
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  11. Review
  12. Article
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  15. (Epi) Genetics and the complexity of diabetes mellitus.Archives of endocrinology and metabolism · 2018
    Article
  16. Article
  17. Review
  18. Article
  19. Hypermethylation in the promoter of theDiabetology & metabolic syndrome · 2017
    Article
  20. 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

6 authors at 1 institution in 1 country.

Shania Abbas
Syed Tasleem RazaMolecular Biology Lab, Department of Biochemistry, Era's Lucknow Medical College and Hospital, Lucknow 226003, India. tasleem24@gmail.com.
Faisal Ahmed
Absar Ahmad
Saliha Rizvi
Farzana Mahdi
Era's Lucknow Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a non-autoimmune, complex, heterogeneous and polygenic metabolic disease condition characterized by persistent elevated blood glucose levels (hyperglycemia). India as said to be the diabetic capital of the world is likely to experience the largest increase in T2DM and a greater number of diabetic individuals in the world by the year 2030. Identification of specific genetic variations in a particular ethnic group has a critical role in understanding the risk of developing T2DM in a much efficient way in future. These genetic variations include numerous types of polymorphisms among which single nucleotide polymorphisms (SNPs) is the most frequent. SNPs are basically located within the regulatory elements of several gene sequences. There are scores of genes interacting with various environmental factors affecting various pathways and sometimes even the whole signalling network that cause diseases like T2DM. This review discusses the biomarkers for early risk prediction of T2DM. Such predictions could be used in order to understand the pathogenesis of T2DM and to better diagnostics, treatment, and eventually prevention.

Indexed as

Polymorphism, GeneticDiabetes Mellitus, Type 2Genetic MarkersGenetic Predisposition to DiseaseHumansIndiaPolymorphism, Single NucleotideRisk FactorsGenetic Markers

Identifiers

PMID24156506
PMCPMC4015124
OpenAlexW2150552700

What OpenQuestion 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 OpenQuestion graph.