Evidence map›Paper›PMID 32572660›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2021

The impact of cigarette smoking in predicting stroke using CHADS

Ming-Liang Zuo, Chun-Mei Li, Yan Deng, Sanjib Bhattacharyya, Ping Shuai, Hung-Fat Tse, Chung-Wah Siu, Li-Xue Yin

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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 at 3 institutions in 2 countries.

Ming-Liang ZuoDepartment of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China.
Chun-Mei LiDepartment of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China.
Yan DengDepartment of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China.
Sanjib BhattacharyyaCollege of Pharmaceutical Sciences, Southwest University, Beibei, Chongqing, 400715, China.
Ping ShuaiDepartment of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China.
Hung-Fat TseCardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Room 1928, Block K, 102 Pokfulam Road, Hong Kong SAR, 999077, China.
Chung-Wah SiuCardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Room 1928, Block K, 102 Pokfulam Road, Hong Kong SAR, 999077, China. cwdsiu@hkucc.hku.hk.
Li-Xue YinDepartment of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China. yinlixue_cardiac@163.com.ORCID http://orcid.org/0000-0002-9007-1800
University of Electronic Science and Technology of China · CNQueen Mary Hospital · CNSouthwest University · CN

Funding

Department of Science and Technology of Sichuan Province 2017TD0015Department of Science and Technology of Sichuan Province (CN) (No. 2016TD0017
6 · The paper itself

Abstract

objectiveTo determine the impact of smoking status in the prediction of stroke using CHADS

methodsFive hundred twenty-eight consecutive patients with arrhythmic symptoms and without any documented arrhythmia from Queen Mary Hospital, Hong Kong, were followed up to determine the incidence of ischemic stroke, new-onset atrial fibrillation (AF), or all-cause mortality. Smoking status was classified into nonsmokers and smokers. The pairwise comparisons of C-statistics for outcomes were performed.

resultsDuring a median follow-up period of 6.2 years, 65 (12.3%) individuals developed ischemic stroke. Smokers experienced higher annual incidence of stroke, a new-onset AF, and all-cause death compare to nonsmokers, with corresponding hazard ratio (HR) of stroke, AF, and all-cause death being 2.51 (95% confidence intervals, CI 1.36als, CIse death bein 1.15a3.24), and 1.95 (95% CI 1.161.95 (95% CIath being 2.51 (95% confidence corr

conclusionCigarette smoking status has impact on stroke stratification using CHADS

Indexed as

Atrial FibrillationCigarette SmokingStrokeHumansMaleRisk AssessmentRisk FactorsCHA2DS2-VAScCHADS2Cigarette smokingIschemic strokeRisk prediction

Identifiers

PMID32572660
PMCPMC7819918
OpenAlexW3036956372

What OpenQuestion holds

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LicenceCC BY
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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.