Evidence map›Paper›PMID 33950066›Full record

ArticleCardiovascular journal of Africa

Analysis of risk factors for thrombosis of the left atrium/left atrial appendage in patients with non-valvular atrial fibrillation.

He Du, Ke Bi, Lisha Xu, Feng Chen, Wenfeng Xiong, Yin Wang

Open access · greenAbstract read
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Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Review
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 at 2 institutions in 1 country.

He DuDepartment of Internal Medicine, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Ke BiDepartment of Oncology, Tongji University School of Medicine, Shanghai, China.
Lisha XuDepartment of Ultrasound, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Feng ChenDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Wenfeng XiongShanghai Yueyang Integrated Traditional Chinese Medicine and Western Medicine Hospital, Shanghai, China. Email: xiongwf2010@163.com.
Yin WangDepartment of Ultrasound, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China. Email: 916276740@qq.com.
Tongji University · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLeft atrial appendage (LAA) morphology is a powerful predictor of thrombogenesis of the left atrium (LA) in patients with non-valvular atrial fibrillation (NVAF). However, it remains unknown whether LAA morphology is useful for stroke risk stratification in patients with NVAF.

methodsA total of 555 atrial fibrillation patients were divided into thrombus and non-thrombus groups according to transoesophageal echocardiography. We analysed the correlation between LAA morphology and the CHADS

resultsThe odds ratio of non-chicken wing LAA morphology was 11.48. Non-chicken wing LAA morphology was significantly correlated with LA/LAA thrombosis. We incorporated LAA morphology into the CHADS

conclusionsNon-chicken wing LAA morphology was a powerful predictor of LA/LAA thrombosis in NVAF patients. The AUC, sensitivity and specificity of the L

Indexed as

AdultAgedAged, 80 and overAtrial AppendageAtrial FibrillationEchocardiography, TransesophagealFemaleHeart AtriaHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsThrombosisYoung Adultatrial fibrillationleft atrial appendage morphologystrokethrombus

Identifiers

PMID33950066
PMCPMC8756031
OpenAlexW3157874062

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.