Evidence map›Paper›PMID 37373754›Full record

ArticleJournal of clinical medicine2023

Potentially Inappropriate Medications Use among Older Adults with Dyslipidaemia.

Monira Alwhaibi, Hadeel Alkofide

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Monira AlwhaibiMedication Safety Research Chair, College of Pharmacy, King Saud University, Riyadh 11149, Saudi Arabia.ORCID 0000-0003-3707-0582
Hadeel AlkofideDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11149, Saudi Arabia.
King Saud University · SA

Funding

The author extends her appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research (IFKSURC-1-1704). (IFKSURC-1-1704)
6 · The paper itself

Abstract

backgroundSince older patients with dyslipidemia frequently receive many prescriptions, medication errors are typical and expected in this population. This risk has increased by using potentially inappropriate medications. The 2019 Beers criteria were used in this study to investigate potentially inappropriate medication use among older individuals with dyslipidemia.

methodsA cross-sectional retrospective analysis used data from electronic medical records from an ambulatory-care environment. Patients with dyslipidemia who were older adults (>65 years old) were included. To describe and find potential determinants of potentially inappropriate medication usage, descriptive statistics and logistic regression were employed.

resultsThis study included 2209 older adults (age ≥ 65) with dyslipidemia. The mean age was 72.1 ± 6.0 years, and the majority of the study sample had hypertension (83.7%) and diabetes (61.7%), and around 80.0% were using polypharmacy. The prevalence of potentially inappropriate medications to be avoided among older adults with dyslipidemia was 48.6%. A high risk of potentially inappropriate medication usage was found in older patients with dyslipidemia who had polypharmacy and comorbid diabetes, ischemic heart disease, and anxiety.

conclusionsThis study showed that the number of medications prescribed and the presence of concurrent chronic health conditions are important indicators of the risk of potentially inappropriate medications in ambulatory older patients with dyslipidemia.

Indexed as

ageingBeers criteriaelderlyinappropriate prescribing

Identifiers

PMID37373754
PMCPMC10299134
OpenAlexW4380993042

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.