Evidence map›Paper›PMID 40788819›Full record

ArticleClinical and translational science2025

Knowledge and Views of Patients With Cardiovascular Disease Toward Pharmacogenomics in The United Arab Emirates.

Maram O Abbas, Azhar T Rahma, Iffat Elbarazi, Bassam R Ali, George P Patrinos, Farah Nagy, Alya Osman, Reem K Alneyadi, Anwar S Alshamsi, Mohamed Alraqabani and 2 more

Abstract read
In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

12 authors.

Maram O AbbasInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0002-1438-3028
Azhar T RahmaInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0002-8347-453X
Iffat ElbaraziInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0001-7151-2175
Bassam R AliDepartment of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0003-1306-6618
George P PatrinosDepartment of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0002-0519-7776
Farah NagyDepartment of Pharmacy Practice, Dubai Pharmacy College, Dubai, UAE.ORCID 0009-0000-7230-0844
Alya OsmanDepartment of Pharmacy Practice, Dubai Pharmacy College, Dubai, UAE.ORCID 0009-0009-4402-8893
Reem K AlneyadiInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0009-0008-9217-9728
Anwar S AlshamsiInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0009-0000-7483-6706
Mohamed AlraqabaniRashid Hospital, Dubai Health Authority, Dubai, UAE.ORCID 0000-0002-4561-2567
Zeina Al-MahayriCollege of Health Sciences, Abu Dhabi University, Abu Dhabi, UAE.ORCID 0000-0002-4673-6692
Fatma Al-MaskariInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.ORCID 0000-0001-6598-4942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics (PGx) can potentially tailor medication prescriptions to the genetic profiles of individuals, enhancing treatment outcomes and minimizing adverse drug reactions. This study assessed cardiovascular disease (CVD) patients' knowledge and views toward PGx testing in the United Arab Emirates (UAE). A cross-sectional study was conducted among CVD patients attending multiple clinics using a validated, culturally adapted, and piloted bilingual questionnaire. Participants were invited via phone calls or in-person contact at clinics. Data analysis was conducted using SPSS V.29, incorporating descriptive statistics and multivariable logistic regression. A total of 425 responses were analyzed; 67.5% were over 50 years old, and 67.5% held a bachelor's degree. Chronic diseases, excluding CVD, affected 65.2%, with 58.1% reporting medication side effects and 36.5% was hospitalized due to these effects. Knowledge varied, with 55.3% demonstrating good knowledge; 75.3% recognized DNA as gene-based, while 47.5% understood PGx for predicting medication responses. Participants were grouped into three PGx perception clusters: Cluster 1 (33.17%) concerned about risks but valued PGx, Cluster 2 (40.23%) worried about privacy/costs, and Cluster 3 (26.58%) confident in PGx benefits. Safety was the top priority for 60.2% of respondents, 34.8% would not pay for PGx tets, and 35.3% preferred preemptive testing. Regression linked higher PGx knowledge to females, non-healthcare workers, those with genetic diseases, and those hospitalized for side effects (p < 0.05). The study highlights a need for educational initiatives in the UAE to improve PGx literacy among CVD patients. The findings suggest that targeted awareness campaigns, policy interventions addressing privacy, and financial support could promote PGx wider adoption.

Indexed as

Cardiovascular DiseasesHealth Knowledge, Attitudes, PracticePharmacogeneticsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPharmacogenomic TestingSurveys and QuestionnairesUnited Arab Emiratescardiovascular diseasespatient knowledge and attitudespharmacogenomicsUnited Arab Emirates

Identifiers

PMID40788819
PMCPMC12338313

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.