Evidence map›Paper›PMID 38365316›Full record

ArticleStroke and vascular neurology2024

Prevalence, risk factors and prognostic value of atrial fibrillation detected after stroke after haemorrhagic versus ischaemic stroke.

Jiahuan Guo, Zixiao Li, Hongqiu Gu, Kaixuan Yang, Yanfang Liu, Jingjing Lu, Dandan Wang, Jiaokun Jia, Jia Zhang, Yongjun Wang and 1 more

Open access · goldAbstract readMulticenter StudyComparative Study
In one paragraph

Article in Stroke and vascular neurology, 2024. 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
1.6field-weighted citation impact, top 17% 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, 4 citations in OpenAlex.

  1. Article
  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

11 authors at 1 institution in 1 country.

Jiahuan GuoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-5744-5703
Zixiao LiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-4713-5418
Hongqiu GuChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-1608-1856
Kaixuan YangChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yanfang LiuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jingjing LuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Dandan WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6836-0705
Jiaokun JiaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jia ZhangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-6662-0646
Yongjun Wang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China zxq@vip.163.com yongjunwang@ncrcnd.org.cn.ORCID 0000-0002-9976-2341
Xingquan Zhao *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China zxq@vip.163.com yongjunwang@ncrcnd.org.cn.ORCID 0000-0001-8345-5147
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPrior evidence suggests that atrial fibrillation detected after stroke (AFDAS) is distinct from known atrial fibrillation (KAF), with particular clinical characteristics and impacts on outcomes in ischaemic stroke. However, the results remained inconsistent in ischaemic stroke, and the role of AFDAS in haemorrhagic stroke remains unclear. Therefore, we aimed to estimate the prevalence, risk factors and prognostic value of AFDAS in haemorrhagic stroke in comparison with ischaemic stroke.

methodsThis was a multicentre cohort study. Patients who had an ischaemic and haemorrhagic stroke hospitalised in the Chinese Stroke Center Alliance hospitals were enrolled and classified as AFDAS, KAF or sinus rhythm (SR) based on heart rhythm. Univariate and multivariate logistic regression analyses were used to assess the prevalence, characteristics, risk factors and outcomes of AFDAS, KAF and SR in different stroke subtypes.

resultsA total of 913 163 patients, including 818 799 with ischaemic stroke, 83 450 with intracerebral haemorrhage (ICH) and 10 914 with subarachnoid haemorrhage (SAH), were enrolled. AFDAS was the most common in ischaemic stroke. There were differences in the risk factor profile between stroke subtypes; older age is a common independent risk factor shared by ischaemic stroke (OR 1.06, 95% CI 1.06 to 1.06), ICH (OR 1.08, 95% CI 1.07 to 1.09) and SAH (OR 1.07, 95% CI 1.05 to 1.10). Similar to KAF, AFDAS was associated with an increased risk of in-hospital mortality compared with SR in both ischaemic stroke (OR 2.23, 95% CI 1.94 to 2.56) and ICH (OR 2.84, 95% CI 1.84 to 4.38). DISCUSSION: There are differences in the prevalence, characteristics and risk factors for AFDAS and KAF in different stroke subtypes. AFDAS was associated with an increased risk of mortality compared with SR in both ischaemic stroke and ICH. Rhythm monitoring and risk factor modification after both ischaemic and haemorrhagic stroke are essential in clinical practice. More emphasis and appropriate treatment should be given to AFDAS.

Indexed as

Atrial FibrillationHemorrhagic StrokeIschemic StrokeSubarachnoid HemorrhageAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedPredictive Value of TestsPrevalencePrognosisRisk AssessmentRisk FactorsAtrial FibrillationStroke

Identifiers

PMID38365316
PMCPMC11791629
OpenAlexW4391878582

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.