Evidence map›Paper›PMID 39022036›Full record

ArticleHeliyon2024

Impact of blood pressure variability and cerebral small vessel disease: A systematic review and meta-analysis.

Bingqing Zhao, Weihua Jia, Ye Yuan, Ying Chen, Yali Gao, Baoling Yang, Wei Zhao, Jingyi Wu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Blood Pressure Variability (BPV): What Clinicians Need to Know a 2025 Expert Consensus Report Endorsed by the Egyptian Society of Cardiology.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
    Article
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

8 authors.

Bingqing ZhaoDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Weihua JiaDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Ye YuanDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Ying ChenDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Yali GaoDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Baoling YangDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Wei ZhaoDepartment of Neurology, Beijing Shijingshan Hospital Capital Medical University Shjingshan Teaching Hospital, China.
Jingyi WuUniversity of Glasgow, United kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Abnormal blood pressure pattern is an independent risk factor for vascular events. Blood pressure variability can predict cardiovascular and cerebrovascular disease outcomes and is closely associated with the risk of cognitive impairment. However, the relationship between blood pressure variability and cerebral small vessel disease neuroimaging markers remains unclear. This study aimed to evaluate the relationship between blood pressure variability and cerebral small vessel disease neuroimaging markers. Data sources: We searched multiple databases, including Embase, Web of Science, PubMed, Cochrane Library, UpToDate, and World of Science, from their inception until November 27, 2023.Main Outcomes and Measures: A meta-analysis of 19 observational studies involving 14519 participants was performed. Findings: ①Systolic blood pressure variability was correlated with the cerebral small vessel disease total burden, white matter hyperintensities and lacunar infarction; ② Diastolic blood pressure variability was correlated with the cerebral small vessel disease total burden, white matter hyperintensities and cerebral microbleeds; ③ Non-dipping patterns were correlated with white matter hyperintensities and lacunar infarction. ④ Reverse-dipping patterns were significantly correlated with white matter hyperintensities and cerebral microbleeds. Conclusions: and Relevance: Blood pressure variability correlates with neuroimaging markers of cerebral small vessel disease and its burden. Hence, early monitoring and intervention of blood pressure variability may be essential for the early diagnosis, prevention and treatment of cerebral small vessel disease.

Indexed as

Blood pressure variabilityCerebral small vessel disease imaging markersCerebral small vessel disease total burdenMeta-analysisSystematic review

Identifiers

PMID39022036
PMCPMC11252957

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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.