Evidence map›Paper›PMID 33568955›Full record

ArticleRisk management and healthcare policy2021

A Nomogram to Predict Lifestyle Factors for Recurrence of Large-Vessel Ischemic Stroke.

Zhi-Xin Huang, Shumin Yuan, Dongshi Li, Hong Hao, Zhenguo Liu, Jianguo Lin

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. 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
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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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 at 3 institutions in 2 countries.

Zhi-Xin HuangDepartment of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China.ORCID 0000-0003-0705-1970
Shumin YuanDepartment of Biochemistry and Molecular Biology, Guilin Medical University, Guilin, Guangxi, China.
Dongshi LiDepartment of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China.
Hong HaoCenter for Precision Medicine and Division of Cardiovascular Medicine, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, USA.
Zhenguo LiuCenter for Precision Medicine and Division of Cardiovascular Medicine, Department of Medicine, University of Missouri School of Medicine, Columbia, MO, USA.
Jianguo LinDepartment of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China.
Guangdong Provincial People's Hospital · CNUniversity of Missouri · USGuilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is the leading cause of morbidity and mortality in China. Recurrent stroke (RS) could occur in a significant portion of patients with ischemic stroke with devastating consequence.

methodsTo investigate the association between lifestyle and the risk of RS in Chinese patients with acute large-vessel ischemic stroke (ALVIS). A total of 258 patients with ALVIS were recruited in the study (median age 63 years, 30.6% female), and followed for a median of 366 days. The primary outcomes were first RS. Cox Regression and Akaike information criterion were used to establish the best-fit nomograms.

resultsDuring follow-up, 38 of 258 (14.7%) participants had the primary endpoint event. After adjusting for confounding factors in multivariate Cox regression analysis, healthy lifestyles, including bland diet (hazard ratio [HR], 0.365; 95% CI, 0.138-0.965), daily fruit consumption (HR, 0.474; 95% CI, 0.238-0.945), good sleep (HR, 0.364; 95% CI, 0.180-0.739), housework: HR (0.461; 95% CI, 0.200-1.065), and HDL (HR, 0.329; 95% CI, 0.130-0.831) were associated with significantly decreased risk for RS after ALVIS, while smoking was associated with a substantial increase in RS risk (HR, 2.590; 95% CI, 1.340-5.005) and included into the nomogram. A weighted point (from 0 to 100) was given to each risk factor, and the total points could be used to predict the probability of RS for the patient.

conclusionThe nomogram shows that healthy lifestyles (bland diet, daily fruit consumption, good sleep, cigarette cessation, and housework) were important for reducing RS in patients with ALVIS.

Indexed as

ischemic strokelifestylenomogramrecurrent eventstroke

Identifiers

PMID33568955
PMCPMC7868708
OpenAlexW3129041054

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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.