Evidence map›Paper›PMID 34260124›Full record

ArticleJournal of cardiovascular electrophysiology2021

Is there rule to the chaos: Defining stable patterns in atrial fibrillation.

Tina Baykaner, Muhammad Fazal, Sagar Patel, Junaid Zaman

Open access · greenAbstract readEditorialComment
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Tina BaykanerDepartment of Cardiovascular Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0002-0476-2972
Muhammad FazalDepartment of Cardiovascular Medicine, Stanford University, Stanford, California, USA.
Sagar PatelDepartment of Cardiovascular Medicine, University of Southern California, Los Angeles, California, USA.
Junaid ZamanDepartment of Cardiovascular Medicine, University of Southern California, Los Angeles, California, USA.
Stanford University · USUniversity of Southern California · US

Funding

Deep Neural Networks To Treat Atrial FibrillationK23HL145017 · NHLBI · STANFORD UNIVERSITY · PI BAYKANER, TINA · 2019 to 2023
$968k
NHLBI NIH HHS K23 HL145017NIH HHS HL145017
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Atrial FibrillationCatheter AblationPulmonary VeinsHumansatrial fibrillationatrial fibrillation mappingcatheter ablation

Identifiers

PMID34260124
PMCPMC8440462
OpenAlexW3181976251

What OpenQuestion holds

Textmetadata
LicenceTDM
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.