ArticleTherapeutics and clinical risk management2022
Risk Factors for Asymptomatic and Symptomatic Intracranial Atherosclerosis Determined by Magnetic Resonance Vessel Wall Imaging in Chinese Population: A Case-Control Study.
Article in Therapeutics and clinical risk management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03417063 (Intracranial Artery Stenosis Magnetic Resonance Imaging), which is not on this map. Cited by 4 papers, 2 of them syntheses that pooled 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.
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.
Intracranial Artery Stenosis Magnetic Resonance Imaging: Aetiology and Progression (ICASMAP)
Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk factors for small vessel disease in adults with atherosclerosis: a systematic review and meta-analysis.BMC cardiovascular disorders · 2026Pooled it
- Imaging-validated correlates and implications of the pathophysiologic mechanisms of ageing-related cerebral large artery and small vessel diseases: a systematic review and meta-analysis.Behavioral and brain functions : BBF · 2025Pooled it
- MicroRNA-361-5p acts as a biomarker for carotid artery stenosis and promotes vascular smooth muscle cell proliferation and migration.BMC medical genomics · 2023Article
- Early diagnosis of intracranial atherosclerotic large vascular occlusion: A prediction model based on DIRECT-MT data.Frontiers in neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeThe association between risk factors and intracranial atherosclerosis disease (ICAD) determined by magnetic resonance (MR) vessel wall imaging in Chinese population has not been investigated. The aim of this study was to investigate the associations of conventional vascular risk factors with asymptomatic and symptomatic ICAD using MR vessel wall imaging in Chinese population.
methodsThe study population was recruited from two cohort studies of ICASMAP and CAMERA comprised 104 symptomatic ICAD subjects (57.1 ± 11.1 years; 35.6% females), 51 asymptomatic ICAD subjects (70.1 ± 8.4 years; 50.0% females) and 418 controls (58.0 ± 13.3 years; 61.0% females) defined as asymptomatic subjects without ICAD on MR vessel wall imaging. We compared the vascular risk factors between the three groups using a multivariate logistic regression analysis.
resultsCompared with controls, there was a significant positive association between age (OR: 1.07, 95% CI: 1.03-1.10, p < 0.001) and hypertension (OR: 3.03, 95% CI: 1.45-6.36, p = 0.003) and asymptomatic ICAD. There was a positive association of smoking (OR: 3.41, 95% CI: 1.57-7.42, p = 0.001), hypertension (OR: 7.43, 95% CI: 3.81-14.49, p < 0.001) and diabetes (OR: 3.54, 95% CI: 1.93-6.49, p < 0.001) and an inverse association of high-density lipoprotein (HDL) (p < 0.017) with symptomatic ICAD. Compared to asymptomatic ICAD, there was a significant inverse association of age (OR: 0.86, 95% CI: 0.81-0.92, p < 0.001) and HDL (p < 0.001) with symptomatic ICAD.
conclusionOld age and hypertension are associated with asymptomatic ICAD and smoking, hypertension, diabetes and lower HDL are associated with an increased risk of symptomatic ICAD in Chinese population. CLINICAL
trial registrationURL: http://www.clinicaltrials.gov. Unique identifier: NCT03417063.
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.