Evidence map›Paper›PMID 37139058›Full record

ArticleFrontiers in neurology2023

Twenty-four-hour ambulatory blood pressure variability and association with ischemic stroke subtypes in the subacute stage.

Lijuan Wang, Xiaoshuang Xia, Xin Liu, Guilin Wu, Yanna Wang, Dongliang Yang, Peilin Liu, Zhuangzhuang Chen, Lin Wang, Xin Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Asian expert consensus on high-quality hypertension management.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

10 authors at 3 institutions in 1 country.

Lijuan WangDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Xiaoshuang XiaDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Xin LiuDepartment of Neurology, Beijing Zhongguancun Hospital, Beijing, China.
Guilin WuBeijing Municipal Medical Insurance Bureau, Beijing, China.
Yanna WangDepartment of Computer Teaching and Research Section, Cangzhou Medical College, Hebei, China.
Dongliang YangDepartment of Computer Teaching and Research Section, Cangzhou Medical College, Hebei, China.
Peilin LiuDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Zhuangzhuang ChenDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Lin WangDepartment of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, China.
Xin LiDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Second Hospital of Tianjin Medical University · CNBeijing HuiLongGuan Hospital · CNBeijing Municipal Health Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Blood pressure (BP) variability (BPV) increases the risk of cerebral disease in both hemorrhagic and ischemic strokes. However, whether BPV is associated with different types of ischemic stroke remains unclear. In this study, we explored the relationship between BPV and ischemic stroke subtypes. Methods: We enrolled consecutive patients aged 47-95 years with ischemic stroke in the subacute stage. We categorized them into four groups based on their artery atherosclerosis severity, brain magnetic resonance imaging markers, and disease history: large-artery atherosclerosis, branch atheromatous disease, small-vessel disease, and cardioembolic stroke. Twenty-four-hour ambulatory blood pressure monitoring was performed, and the mean systolic blood pressure/diastolic blood pressure, standard deviation, and coefficient of variation were calculated. A multiple logistic regression model and random forest were used to test the relationship between BP and BPV in the different types of ischemic stroke. Results: A total of 286 patients, including 150 men (73.0 ± 12.3 years) and 136 women (77.8 ± 9.6 years) were included in the study. Of these, 86 (30.1%) patients had large-artery atherosclerosis, 76 (26.6%) had branch atheromatous disease, 82 (28.7%) had small-vessel disease, and 42 (14.7%) had cardioembolic stroke. There were statistically significant differences in BPV between subtypes of ischemic stroke in 24-h ambulatory blood pressure monitoring. The random forest model showed that BP and BPV were important features associated with ischemic stroke. Multinomial logistic regression analysis demonstrated that systolic blood pressure levels; systolic blood pressure variability at 24 h, daytime and nighttime; and nighttime diastolic blood pressure were independent risk factors for large-artery atherosclerosis after adjustment for confounders. When compared to branch atheromatous disease and small-vessel disease, nighttime diastolic blood pressure and standard deviation of diastolic blood pressure were significantly associated with patients in the cardioembolic stroke group. However, a similar statistical difference was not seen in patients with large-artery atherosclerosis. Conclusion: The results of this study indicate a discrepancy in blood pressure variability among different ischemic stroke subtypes during the subacute stage. Higher systolic blood pressure and systolic blood pressure variability during the 24 h, daytime, and nighttime, and nighttime diastolic blood pressure were independent predictors for large-artery atherosclerosis stroke. Increased nighttime diastolic BPV was an independent risk factor for cardioembolic stroke.

Indexed as

ambulatory blood pressure variabilitybranch atheromatous diseasecardioembolic strokeischemic strokelarge-artery atherosclerosissmall-vessel disease

Identifiers

PMID37139058
PMCPMC10149864
OpenAlexW4366206396

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Registered trials

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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.