ArticleClinical cardiology2023
Knowledge of HbA1c and LDL-C treatment goals, subjective level of disease-related information and information needs in patients with atherosclerotic cardiovascular disease.
Article in Clinical cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Biochemical urine analysis of atorvastatin and rosuvastatin by LC-MS: a pilot study of an objective method to assess non-adherence.BMC cardiovascular disorders · 2026Article
- Associations of patient knowledge with drug-modifiable cardiovascular risk factor control in coronary artery disease patients with and without diabetes mellitus: results from the cross-sectional KNOW-ABC study.BMC cardiovascular disorders · 2025Article
- Extracellular vesicles in atherosclerosis cardiovascular disease: emerging roles and mechanisms.Frontiers in cardiovascular medicine · 2025Review
- Knowledge of HbA1c and LDL-C treatment goals, subjective level of disease-related information and information needs in patients with atherosclerotic cardiovascular disease.Clinical cardiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
background/hypothesisRisk factor control of diabetes mellitus (DM) and especially dyslipidemia remains unsatisfactory in patients with atherosclerotic cardiovascular disease (ASCVD). We aimed to analyze the knowledge of low-density lipoprotein cholesterol (LDL-C) and glycated hemoglobin (HbA1c) treatment goals, subjective level of information, and information needs in very high-risk patients with ASCVD.
methodsASCVD patients (n = 210; 75 ± 9 years; 71.4% male; 89.5% coronary disease) with DM (96.7% type 2) completed a questionnaire assessing knowledge of HbA1c and LDL-C treatment goals and subjective level of information and information needs on disease-related topics of DM and ASCVD. Serum LDL-C and HbA1c were measured.
resultsHbA1c goal (<7.0% in 60.6%) was attained more frequently than LDL-C goal (<70 mg/dl in 39.9%; p < .01). Significantly more participants named the correct goal for HbA1c compared to LDL-C (52.9% vs. 2.4%; p < .01). Subjective levels of information were higher and information needs were lower for DM than for ASCVD (p < .01 for all topics). No associations of knowledge of treatment goals and level of information with the attainment of treatment goals for HbA1c and LDL-C were found. However, in multivariate regression, higher levels of education were associated with knowledge of treatment goals (HbA1c: odds ratio [OR] 1.32, 95% confidence interval [CI] 1.01-1.72, p = .04; LDL-C: OR 2.32, 95% CI 1.07-5.03; p = .03).
conclusionIn very high-risk patients with ASCVD, a deficit of knowledge of treatment goals to control dyslipidemia exists when compared to DM, patients felt significantly better informed for topics of DM than for ASCVD and display higher information needs for topics of ASCVD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.