Evidence map›Paper›PMID 41972058›Full record

ArticleQuantitative imaging in medicine and surgery2026

Differential associations of intracranial large artery phenotypes (calcification

Jintao Li, Jia Wen, Kailin Cheng, Yazhao Liu, Shuen Li, Xiaoli Fu, Zhu Shi

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jintao Li *Department of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Jia Wen *Department of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Kailin ChengDepartment of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Yazhao LiuDepartment of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Shuen LiDepartment of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Xiaoli FuDepartment of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Zhu ShiDepartment of Neurology and Stroke Center, The 10th Affiliated Hospital, Dongguan People's Hospital, Southern Medical University, Dongguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: White matter hyperintensity (WMH) is a common cerebrovascular complication of hypertension, associated with intracranial arterial diseases, including stenosis and calcification. However, the distinctive pathophysiological mechanism remains unclear. To address this critical knowledge gap, the present study was designed to investigate the impact of major intracranial arterial phenotypes, including stenosis and calcification, on WMH and the differences in WMH across distinctive topological regions. Methods: Consecutive stroke patients from an unicentric cohort were retrospectively enrolled. Major intracranial vessels evaluated included the intracranial segment of the C4-7 segments of internal carotid artery (ICA), M1 of the middle cerebral artery (MCA), V4 of the vertebral artery (VA) and the basilar artery (BA). Intracranial artery calcification (IAC) was determined on non-contrast computed tomography (NCCT) and classified into intimal-IAC and medial-IAC, and the number of involved arteries was recorded; intracranial artery stenosis burden (ICASB) was evaluated using computed tomography angiography (CTA); WMH severity was assessed using the Fazekas score, and categorized as none/mild, moderate and severe. Logistic regression models were constructed to evaluate the relationship between IAC, intracranial arterial stenosis (ICAS) with WMH. Results: Among the 503 enrolled patients (40.6% female; median age 71 years), a higher ICASB was independently associated with greater overall WMH severity [adjusted odds ratio (OR) 1.47 per unit increase, 95% confidence interval (CI): 1.31-1.66; P<0.001]. In stratified analyses by WMH topography, a greater number of arteries affected by medial-IAC was independently associated with severe periventricular-WMH (P-WMH) (aOR 1.42, 95% CI: 1.21-3.83; P=0.012), while a greater number of arteries with intimal-IAC showed a significant association with severe deep-WMH (D-WMH) (aOR 1.11, 95% CI: 1.09-2.76; P=0.014). Conclusions: Intracranial arterial stenosis and calcification jointly contribute to WMH; each exhibited subtle heterogeneity in pathogenesis of P-WMH and D-WMH, with medial-IAC being more closely associated with P-WMH.

Indexed as

atherosclerosishypertensionintracranial artery calcification (IAC)Intracranial atherosclerotic stenosiswhite matter hyperintensity (WMH)

Identifiers

PMID41972058
PMCPMC13066904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.