Evidence map›Paper›PMID 39001759›Full record

ArticleJACC. Clinical electrophysiology2024

Navigating the Ebb and Flow of Atrial Fibrillation.

Connie Ma, Sanjiv M Narayan, Tina Baykaner

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Clinical electrophysiology, 2024. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Connie MaDepartment of Medicine, Stanford University, Stanford, California, USA.
Sanjiv M NarayanDepartment of Medicine, Stanford University, Stanford, California, USA; Cardiovascular Institute, Stanford University, Stanford, California, USA.
Tina BaykanerDepartment of Medicine, Stanford University, Stanford, California, USA; Cardiovascular Institute, Stanford University, Stanford, California, USA. Electronic address: tina4@stanford.edu.

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Patient-Directed Computational Analysis of Atrial FibrillationR01HL122384 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOUTER-JAN RAPPEL · 2015 to 2026
$5.3M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
Deep Neural Networks To Treat Atrial FibrillationK23HL145017 · NHLBI · STANFORD UNIVERSITY · PI BAYKANER, TINA · 2019 to 2023
$968k
NHLBI NIH HHS K23 HL145017NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL122384NHLBI NIH HHS R01 HL149134
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Atrial FibrillationCatheter AblationHumansatrial fibrillationdriversmappingmechanisms

Identifiers

PMID39001759
PMCPMC11927096

What OpenQuestion holds

Textmetadata
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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.