Evidence map›Paper›PMID 41523618›Full record

ArticleScientifica2025

Prevalence and Determinants of Polypharmacy: A Cross-Sectional Study Among Elderly Patients With Cardiovascular Diseases in Outpatient Clinics.

Negin Faramarzi Nasab, Shahab Rezaeian, Saeed Ezadi, Alireza Khatony

Abstract read
In one paragraph

Article in Scientifica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Negin Faramarzi NasabStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.
Shahab RezaeianInfectious Diseases Research Centre, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0002-5094-5315
Saeed EzadiSocial Development and Health Promotion Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.
Alireza KhatonyInfectious Diseases Research Centre, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0003-3552-5539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polypharmacy, commonly defined as the concurrent use of five or more medications, is a pressing public health concern among older adults with cardiovascular disease, given its strong association with adverse drug-drug interactions, medication errors, and increased hospitalization rates. Despite its clinical significance, evidence from low- and middle-income countries, including Iran, remains limited. This study sought to determine the prevalence of polypharmacy and identify its key determinants among elderly cardiovascular patients in Kermanshah, Iran. In this cross-sectional survey of 426 participants, eligible participants were recruited using convenience sampling, and demographic, clinical, and medication-related data were collected using structured questionnaires. Statistical analyses, including chi-square tests and multivariate logistic regression, were employed to examine associations. The findings revealed that 60.1% of participants were taking five to nine medications daily. Polypharmacy was significantly associated with lower educational attainment and income, prolonged treatment duration, hospitalization history, multimorbidity, insufficient pharmacist counseling, and limited knowledge of medications and their potential adverse effects. Multivariate analysis identified the number of chronic conditions (AOR: 5.05,

Indexed as

cardiovascular diseaseselderlypolypharmacyprevalence

Identifiers

PMID41523618
PMCPMC12782334

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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.