Observational studyClinical cardiology2014
Impact of atherosclerosis detection by carotid ultrasound on physician behavior and risk-factor management in asymptomatic hypertensive subjects.
Observational study in Clinical cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Impact of Image Interpretation of Carotid Ultrasound Findings on Lipid Management in Patients With Elevated ASCVD Risk.Brain and behavior · 2025Observational
- Article
- Provision of non-invasive coronary and carotid vascular imaging results on changes in diet and physical activity in asymptomatic adults: A scoping review.Frontiers in nutrition · 2022Article
- Article
- Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study.BMC cardiovascular disorders · 2016Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are limited data regarding the impact of atherosclerosis detection by carotid ultrasound (CUS) on physician prevention efforts and risk-factor management for cardiovascular disease. HYPOTHESIS: Atherosclerosis detection by CUS in asymptomatic hypertensive patients would lead to physician prevention efforts, including target low-density lipoprotein cholesterol (LDL-C) level and prescription. Also, it may improve risk-factor management.
methodsA total of 347 asymptomatic hypertensive subjects (age 61 ± 8 years, 189 men) were prospectively recruited from 22 hospitals. Prior to CUS, physicians were surveyed regarding target LDL-C level. After CUS, patients were classified into positive CUS (n = 182) and negative CUS (n = 165) groups based on CUS results. Physicians were resurveyed to assess whether the initial target LDL-C goals were changed. At 6 months, cardiovascular risk-factor modification status was reassessed.
resultsThe proportion of lowered target LDL-C levels was significantly larger in the positive CUS group than in the negative CUS group (52% vs 23%, P < 0.001). These results were observed even in subjects who had low and moderate risk according to National Cholesterol Education Program-Adult Treatment Panel III guidelines. Lipid-lowering agents were similarly added or switched to another class in both groups (7% in the positive CUS group vs 11% in the negative CUS group, P = 0.153). LDL-C was significantly decreased in the positive CUS group (Δ = -24 ± 38 mg/dL, P < 0.001), whereas it was not significantly decreased in the negative CUS group (Δ = -6 ± 31 mg/dL, P = 0.105).
conclusionsAtherosclerosis detection by CUS lowered physicians' target LDL-C level and improved cardiovascular risk management in terms of LDL-C reduction.
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.