Evidence map›Paper›PMID 36383152›Full record

ArticleCardiovascular journal of Africa

Application of computed tomographic angiography and echocardiography in predicting left atrial appendage thrombosis in patients with non-valvular atrial fibrillation.

Xiaodan Wu, Fan Sun, Shoucheng Ma, Zhichen Wang, Shenghai Xu

Open access · hybridAbstract read
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Xiaodan WuDepartment of Ultrasound, Shenzhen University General Hospital, Shenzhen, China. Email: wuxdsugh@shu-edu.cn.
Fan SunDepartment of Ultrasound, Affiliated Hospital of Beihua University, Jilin, China.
Shoucheng MaDepartment of Radiology, Jilin City TCM-WM Hospital, Jilin, China.
Zhichen WangDepartment of Cardiovascular Surgery, Jilin Central General Hospital, Jilin, China.
Shenghai XuDepartment of Ultrasound, Jilin Longtan District Tiedong Hospital, Jilin, China.
Jilin City Central Hospital · CNBeihua University · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe aimed to explore the application of computed tomographic angiography (CTA) and echocardiography in predicting left atrial appendage (LAA) thrombosis in patients with non-valvular atrial fibrillation.

methodsThe clinical data of 164 atrial fibrillation patients receiving cardiac CTA and real-time three-dimensional transoesophageal echocardiography (RT-3D-TEE) were retrospectively analysed. The patients were divided into group A (anticoagulant treatment group,

resultsThere were significant differences in age, disease course, hypertension, diabetes mellitus, coronary heart disease, heart failure, stroke/transient ischaemic attack/thromboembolism, vascular disease, B-type natriuretic peptide and serum uric acid levels, CHA

conclusionsBoth CTA and RT-3D-TEE had high predictive values for LAA thrombosis in atrial fibrillation patients.

Indexed as

Atrial AppendageAtrial FibrillationDiabetes MellitusHypertensionIschemic Attack, TransientStrokeThromboembolismThrombosisAgedAngiographyAnticoagulantsEchocardiography, TransesophagealFemaleHumansRetrospective StudiesRisk FactorsAnticoagulantsUric Acidcomputed tomographic angiographyechocardiographyleft atrial appendagenon‐valvular atrial fibrillationthrombosis

Identifiers

PMID36383152
PMCPMC10870313
OpenAlexW4309165785

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.