Evidence map›Paper›PMID 35770214›Full record

ArticleFrontiers in cardiovascular medicine2022

Low-Voltage Area at the Anterior Wall of the Left Atrium Is Associated With Thromboembolism in Atrial Fibrillation Patients With a Low CHA

Xiangwei Ding, Mingfang Li, Hongwu Chen, Gang Yang, Fengxiang Zhang, Weizhu Ju, Kai Gu, Jianqing Li, Minglong Chen

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

Article in Frontiers in cardiovascular medicine, 2022. 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 30% 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. Review
  2. 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

9 authors at 3 institutions in 1 country.

Xiangwei DingSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Mingfang LiDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hongwu ChenDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Gang YangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Fengxiang ZhangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Weizhu JuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Kai GuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jianqing LiSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Minglong ChenDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CNTaizhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-valvular atrial fibrillation (NVAF) in patients at low risk of thromboembolism (TE) does not mean "no risk." We sought to assess the risk factors associated with TE in clinically low-risk AF patients with a non-gender CHA Methods: In this single-center cross-sectional study, NVAF patients with a CHA Results: In the TE group, LVA was more prevalent [15/25 (60%) vs. 105/359 (29.2%), Conclusions: LVA at the anterior wall of the LA is associated with TE history in NVAF patients with a low CHA

Indexed as

atrial fibrillationleft atrial low-voltage arealow-riskrisk factorsthromboembolism

Identifiers

PMID35770214
PMCPMC9234162
OpenAlexW4282560746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.