ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026
The role of computed tomography in thrombus characterization: Insights from a stroke cohort of known and unknown etiology.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis study aimed to investigate: (1) the correlation between stroke cause and thrombus computed tomography (CT) characteristics in acute ischemic stroke (AIS) patients and large vessel occlusion (LVO); (2) whether thrombus features in cryptogenic stroke (CS) can help differentiate cardioembolic from non-cardioembolic causes. PATIENTS AND
methodsIn consecutive AIS patients with LVO recruited retrospectively (2022-2025), associations between stroke etiology and thrombus CT characteristics (location, density and length) were estimated. The association of cause with thrombus location was estimated with multivariable logistic regression and presented as odds ratio (OR). The association of cause with Hounsfield Unit (HU) and the thrombus length was estimated with multivariable linear regression and was presented as coefficients (ß). A latent class analysis was performed in CSs to identify clinically meaningful sub-phenotypes based on demographic and thrombus characteristics.
resultsAmong 580 patients (mean age, 75.8 ± 12.4 years; 274 women), 26.2% had large artery atherosclerosis, 58.8% cardioembolism (79.2% of these with atrial fibrillation), 5.7% other determined causes, and 9.3% CS. Non-cardioembolic strokes were associated with a more proximal thrombus location (OR 2.00 [95% CI 1.15-3.44]), higher HU (ß 2.63 [95% CI 0.20-5.06]) and longer thrombus (ß 1.23 [95% CI 0.66-1.79]) compared to cardioembolic strokes. Thrombus characteristics for CS were similar to those of cardioembolic strokes. Within the group of CS patients, two sub-phenotypes emerged: one showing higher thrombus density and length, and another mirroring cardioembolic characteristics.
conclusionWithin the cohort of patients with CS, thrombus characteristics allowed to identify patients with a stroke likely of cardioembolic origin.
Indexed as
Identifiers
41533005What 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.