Evidence map›Paper›PMID 38983168›Full record

ArticleJournal of thoracic disease2024

The predictive value of CHA2DS2-VASc score on the prognosis of patients with atrial fibrillation based on a prospective cohort study.

Haiyan Jiang, Wenxiao Yan, Peixin Han, Jie Zhang, Hua Miao, Guiwen Liang, Xinye Luo, Lunan Shen, Yousheng Liu, Lei Qi and 3 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 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. Article
  2. Development and validation of a prediction model for ischemic stroke recurrence risk in patients with ischemic stroke and atrial fibrillation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  3. Article
  4. CHAFrontiers in cardiovascular medicine · 2026
    Article
  5. 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

13 authors.

Haiyan Jiang *Department of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Wenxiao Yan *Department of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Peixin Han *Department of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Jie ZhangDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Hua MiaoDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Guiwen LiangDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Xinye LuoDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Lunan ShenOffice of Inspection Work, Nantong Municipal Committee, the Communist Party of China, Nantong, China.
Yousheng LiuDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Lei QiDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Hui GongDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Yansong DongDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Juying LuDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia encountered in clinical practice, and it is associated with an increased risk of mortality, stroke, and peripheral embolism. The risk of stroke in AF is heterogeneous and dependent on underlying clinical conditions included in current risk stratification schemes. Recently, the CHA2DS2-VASc score has been incorporated into guidelines to encompass common stroke risk factors observed in routine clinical practice. The aim of this study was to study the predictive value of CHA2DS2-VASc score on the prognosis of patients with AF to determine the correlation of major complications including cerebral infarction and intracranial hemorrhage in patients with AF with oral anticoagulant and antiplatelet aggregation drugs and to identify the risk factors for all-cause mortality. Methods: A prospective study was conducted on 181 patients with AF who underwent physical examinations at Hai'an Qutang Central Hospital from January 2020 to December 2020. The patient's general condition, chronic disease history, CHA2DS2-VASc [congestive heart failure, hypertension, age ≥75 years (doubled), diabetes, stroke (doubled), vascular disease, age 65 to 74 years, and sex category (female)] score, left ventricular ejection fraction (LVEF), lipid metabolism, and oral anticoagulant and antiplatelet aggregation medication during physical examination were recorded. By using telephone meetings to complete the follow-up, we tracked the patient's cerebral infarction, intracranial hemorrhage, and survival status within 2 years of follow-up, statistically analyzed the relationship between AF complications and medication, and grouped patients with AF based on the CHA2DS2-VASc score to evaluate its predictive ability for mortality outcomes in these patients. Results: The patients were divided into four groups according to the medication situation, and the incidence of cerebral infarction in the combination group was significantly lower than that in the non-medication group (0.0% Conclusions: The CHA2DS2-VASc score demonstrated high predictive value for all-cause mortality in patients with AF.

Indexed as

Atrial fibrillation (AF)CHA2DS2-VASc scorecomplications

Identifiers

PMID38983168
PMCPMC11228718

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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.