Evidence map›Paper›PMID 29239331›Full record

ArticleNeural regeneration research2017

Ankle-brachial index and brachial-ankle pulse wave velocity are risk factors for ischemic stroke in patients with Type 2 diabetes.

Ting Li, Xiu-Juan Wu, Xiao-Min Chen, Si-Bo Wang, Kang-Ding Liu, Ying-Qi Xing

Abstract read
In one paragraph

Article in Neural regeneration research, 2017. 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

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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.

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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

6 authors.

Ting LiNeuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Xiu-Juan WuNeuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Xiao-Min ChenNeuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Si-Bo WangNeuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Kang-Ding LiuNeuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Ying-Qi XingNeuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of ischemic stroke in patients with diabetes is increasing. While brachial-ankle pulse wave velocity (BaPWV) and ankle-brachial index (ABI) are known to be associated with ischemic cardiovascular and cerebrovascular diseases, whether these measures predict the risk of ischemic cerebrovascular disease in diabetic patients remains unclear. 117 patients with type 2 diabetes were enrolled in this study. According to the results of head magnetic resonance imaging, the patients were divided into a diabetes-only group (n = 55) and a diabetes and ischemic stroke group (n = 62). We then performed ABI and BaPWV examinations for all patients. Compared with the diabetes-only group, we found decreased ABI and increased BaPWV in the diabetes and ischemic stroke group. Multivariate logistic regression analyses revealed that BaPWV and ABI were risk factors for ischemic stroke in patients with type 2 diabetes. Our findings indicate that decreased ABI and increased BaPWV are objective indicators of increased risk of ischemic stroke in patients with type 2 diabetes.

Indexed as

ankle-brachial indexbrachial-ankle pulse wave velocitybrain injurycarotid ultrasound scanshigh-density lipoproteinischemic strokelow-density lipoproteinmagnetic resonance imagingnerve regenerationneural regenerationtranscranial Doppler ultrasonographytype 2 diabetes

Identifiers

PMID29239331
PMCPMC5745839

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.