Evidence mapPaperPMID 34849419Full record

ArticleHeliyon2021

Risk of type 2 diabetes mellitus and cardiovascular complications in

Tutun Das Aka, Urmi Saha, Sayara Akter Shati, Md Abdul Aziz, Mobashera Begum, Md Saddam Hussain, Md Shalahuddin Millat, Mohammad Sarowar Uddin, Mohammad Safiqul Islam

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Association ofDiabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. International journal of endocrinology · 2022
    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

9 authors at 1 institution in 1 country.

Tutun Das AkaDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Urmi SahaDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Sayara Akter ShatiDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Md Abdul AzizDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Mobashera BegumDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Md Saddam HussainDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Md Shalahuddin MillatDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Mohammad Sarowar UddinDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Mohammad Safiqul IslamDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh.
Noakhali Science and Technology University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) are two deadly diseases caused by the complex interaction of multiple genetic loci, lifestyle and environmental factors. Genome-wide association studies described hundreds of susceptibility loci for T2DM and T2DM-related CVD, but it remains uncertain due to geographic and ethnic variations. The objective of this study was to evaluate the associations of

methodsGenotyping of all three polymorphisms was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method on 250 T2DM cases and 246 healthy controls. Both descriptive and inferential statistical methods were applied using MedCalc and IBM SPSS software programs for statistical analyses.

resultsA significantly increased association of KCNJ11 rs5219 (

conclusionsOur investigation indicates that

Indexed as

Cardiovascular diseaseHHEXKCNJ11PolymorphismSLC30A8Type 2 diabetes mellitus

Identifiers

PMID34849419
PMCPMC8608605
OpenAlexW3211612916

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.