Evidence map›Paper›PMID 35757332›Full record

ArticleFrontiers in cardiovascular medicine2022

Determination of Pleiotropic Effect of Warfarin in

Huma Shafique, Naeem Mahmood Ashraf, Amir Rashid, Asifa Majeed, Tayyaba Afsar, Ann K Daly, Ali Almajwal, Nawaf W Alruwaili, Azmat Ullah Khan, Suhail Razak

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Multi-omics integration predicts 17 disease incidences in the UK Biobank.medRxiv : the preprint server for health sciences · 2025
    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

10 authors at 5 institutions in 3 countries.

Huma ShafiqueDepartment of Biochemistry, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.
Naeem Mahmood AshrafDepartment of Biochemistry and Biotechnology, University of Gujrat, Gujrat, Pakistan.
Amir RashidDepartment of Biochemistry, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.
Asifa MajeedDepartment of Biochemistry, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.
Tayyaba AfsarDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Ann K DalyInstitute of Cellular Medicine, Newcastle University Medical School, Newcastle University, Newcastle upon Tyne, United Kingdom.
Ali AlmajwalDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Nawaf W AlruwailiDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Azmat Ullah KhanDepartment of Biochemistry and Biotechnology, University of Gujrat, Gujrat, Pakistan.
Suhail RazakDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
King Saud University · SANational University of Medical Sciences · PKUniversity of Gujrat · PKArmy Medical College · PKNewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Warfarin has been widely used as an oral anticoagulant agent. In past, efforts have been done to study the contribution of genetic variation on warfarin dose requirements. The possible therapeutic dose determination of warfarin is very challenging, i.e., extremely low dose leading to unusable antithrombotic therapy or high dose causes particularly bleeding complications. Our study aimed to investigate these observations in more detail, we determined the correlation of interleukin-6 (IL-6), cyclooxygenase-2 (COX-2), and tumor necrosis factor-α (TNF-α) among VKORC1 and CYP2C9 genetic variants in patients with heart valve replacement who were treated with a range of warfarin doses and compared with levels in healthy controls. A total of 107 human subjects were recruited with low < 5 mg, medium 5-10 mg/day, and high > 10 mg/day warfarin doses. The genetic study of VKORC1-1639G/A, C1173T, 3730G > A, CYP2C9*2, and CYP2C9*3 was performed using TaqMan genotyping and DNA sequencing. The gene expression of IL-6, TNF-α, and COX-2 mRNA was analyzed. IL-6, TNF-α, and COX-2 protein expressions were determined by ELISA and Western blot analysis to evaluate the pro- and anti-inflammatory effects of warfarin. A statistically significant difference was found among the haplotypes of VKORC1 rs9934438 (C1173T), rs9923231 (-1639G > A), rs7294 (3730G > A) and CYP2C9 *2 p. Arg144 Cys (rs28371674), CYP2C9 *3 p. Ile359Leu (rs1057910) genotypes with warfarin dose requirements (

Indexed as

COX-2CYP2C9IL-6pleiotropyTaqManTNF-αVKORC1

Identifiers

PMID35757332
PMCPMC9226342
OpenAlexW4282009503

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.