Evidence map›Paper›PMID 40386799›Full record

ArticlePatient preference and adherence2025

Perceptions and Knowledge of Cholesterol and Lipid-Lowering Medications Among Treatment-Naive Individuals: A Cross-Sectional Study.

Mehmet Kök, Feyzi Bostan, Ayşe Yacan Kök

Abstract read
In one paragraph

Article in Patient preference and adherence, 2025. 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
–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

2 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

3 authors.

Mehmet KökDepartment of Internal Medicine, Antalya Training and Research Hospital of Ministry of Health, Antalya, Turkey.ORCID 0000-0002-5285-4513
Feyzi BostanDepartment of Internal Medicine, Antalya Training and Research Hospital of Ministry of Health, Antalya, Turkey.ORCID 0000-0002-7529-5128
Ayşe Yacan KökBucak Health School, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.ORCID 0000-0003-3634-2136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The literature often includes studies on cholesterol perception and lipid-lowering medication (LLM) use with patients who have used or discontinued LLM for primary or secondary prevention. With the exponential rise in patients needing LLM each year, understanding their knowledge and perceptions of cholesterol and these drugs is crucial. For this reasons, we aimed to determine the perception and knowledge of treatment-naive participants about cholesterol and LLM. Patients and Methods: This cross-sectional study was conducted in Turkey between August 2020 and August 2022. A self-designed online survey developed from literature sources was used to determine the level of knowledge and perception of cholesterol, LLM and influencing factors. Results: A total of 2062 respondents completed the survey, which was sent to the participants via an online link. The most common sources of information about cholesterol and lipid-lowering medications were medical staff (71%) media (58.4%) and scientific publications (33.3%). The most three common factors affecting the participants' perception of cholesterol and LLM were medical staff (49.6%), media (23.7%), and scientific publications (15.6%). Conclusion: Our study revealed that participants have some inaccurate and incomplete information about cholesterol and LLM. Medical staff and the media emerged as the primary sources of information and crucial influences on most participants' perceptions of cholesterol and LLM.

Indexed as

hypercholesterolemiaillness perceptionlipid-lowering medicationmedication adherencenon-compliancestatins

Identifiers

PMID40386799
PMCPMC12085121

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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.