Evidence map›Paper›PMID 32273741›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Kazem Vatankhah Yazdi, Seyed Mehdi Kalantar, Massoud Houshmand, Masoud Rahmanian, Masoud Reza Manaviat, Mohammad Reza Jahani, Behnam Kamalidehghan, Amir Almasi-Hashiani

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Gene polymorphisms and occurrence of type 2 diabetes in a Gabonese population.International journal of biochemistry and molecular biology · 2026
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  8. Article
  9. Significant association between insulin-like growth factor 2 mRNA-binding protein 2, interleukin-6 polymorphisms, and type 2 diabetes mellitus.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
    Article
  10. Association of fat mass and obesity-associated (Journal of diabetes and metabolic disorders · 2022
    Review
  11. Article
  12. Journal of diabetes and metabolic disorders · 2022
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Association of Genetic Variants inFrontiers in endocrinology · 2021
    Article
  20. Association Between Single Nucleotide Polymorphisms inDiabetes, 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

8 authors at 5 institutions in 2 countries.

Kazem Vatankhah YazdiDepartment of Genetic, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
Seyed Mehdi KalantarDepartment of Genetic, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
Massoud HoushmandDepartment of Medical Genetics, National Institute for Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Masoud RahmanianYazd Diabetes Research Center, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
Masoud Reza ManaviatDepartment of Ophthalmology, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
Mohammad Reza JahaniTaban Health Care and Diabetes Clinic Lab, Tehran, Iran.ORCID 0000-0003-2406-6162
Behnam KamalidehghanDepartment of Medical Genetics, National Institute for Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Amir Almasi-HashianiDepartment of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran.ORCID 0000-0003-4434-561X
Shahid Sadoughi University of Medical Sciences and Health Services · IRArak University of Medical Sciences · IRDiabetes Care Center · USNational Institute of Genetic Engineering and Biotechnology · IRUniversity of Jiroft · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a serious public health issue with significantly increasing rates across the world. The genome-wide association studies (GWAS) have previously manifested involved genes that remarkably enhance the risk of T2DM. In this study, the association of common variants with T2DM risk has been identified among Iranian population from Tehran province of Iran.

methodsHere, the association of refSNPs with T2DM risk was examined on peripheral blood samples of 268 individuals including control group and patients with T2DM using the tetra amplification refractory mutation system (ARMS) methods and direct genomic DNA sequencing.

resultsOur study demonstrated that

conclusionThe prediction of refSNPs is remarkably needed for pharmacogenetics and pharmacogenomic approaches, in which the information would be useful for clinicians to optimize therapeutic strategies and adverse drug reactions in patients with T2DM.

Indexed as

ARMSGWASIranian populationsT2DMthe genome-wide association studiesthe tetra amplification refractory mutation systemtype 2 diabetes mellitus

Identifiers

PMID32273741
PMCPMC7102914
OpenAlexW3012724395

What OpenQuestion 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 OpenQuestion graph.