Evidence map›Paper›PMID 35845077›Full record

ReviewFrontiers in cardiovascular medicine2022

Left Atrial Cardiomyopathy - A Challenging Diagnosis.

Fabienne Kreimer, Michael Gotzmann

Open access · goldAbstract readReview
In one paragraph

Review 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 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. A novel signal distribution-based approach to characterize atrial cardiomyopathy.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Article
  4. Article
  5. Electrocardiographic Markers of Atrial Cardiomyopathy: Strengths and Limits of P-Wave-Based Assessment.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  6. Association of P-Wave Parameters With Left Atrial Hemodynamics in Atrial Cardiomyopathy.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  7. Article
  8. Brazilian Atrial Fibrillation Guidelines - 2025.Arquivos brasileiros de cardiologia · 2025
    Article
  9. Article
  10. Article
  11. Non-invasive prediction of atrial cardiomyopathy characterized by multipolar high-density contact mapping.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025
    Article
  12. Time's imprint on the left atrium: aging and atrial myopathy.The journal of cardiovascular aging · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Atrial Cardiomyopathy: From Diagnosis to Treatment.Reviews in cardiovascular medicine · 2025
    Review
  17. Review
  18. Predictors of atrial fibrillation after embolic stroke of undetermined source in patients with implantable loop recorders.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  19. Atrial cardiomyopathy revisited-evolution of a concept: a clinical consensus statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asian Pacific Heart Rhythm Society (APHRS), and the Latin American Heart Rhythm Society (LAHRS).Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
  20. 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

2 authors at 1 institution in 1 country.

Fabienne KreimerUniversity Hospital St. Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Bochum, Germany.
Michael GotzmannUniversity Hospital St. Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Bochum, Germany.
St. Josef-Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left atrial cardiomyopathy (LACM) has been an ongoing focus of research for several years. There is evidence that LACM is responsible for atrial fibrillation and embolic strokes of undetermined sources. Therefore, the correct diagnosis of LACM is of clinical importance. Various techniques, including electrocardiography, echocardiography, cardiac magnetic resonance imaging, computed tomography, electroanatomic mapping, genetic testing, and biomarkers, can both identify and quantify structural, mechanical as well as electrical dysfunction in the atria. However, the question arises whether these techniques can reliably diagnose LACM. Because of its heterogeneity, clinical diagnosis is challenging. To date, there are no recommendations for standardized diagnosis of suspected LACM. However, standardization could help to classify LACM more precisely and derive therapeutic directions to improve individual patient management. In addition, uniform diagnostic criteria for LACM could be important for future studies. Combining several parameters and relating them seems beneficial to approach the diagnosis of LACM. This review provides an overview of the current evidence regarding the diagnosis of LACM, in which several potential parameters are discussed and, consequently, a proposal for a diagnostic algorithm is presented.

Indexed as

atrial cardiomyopathyatrial fibrillationdiagnosisdiagnostic algorithmembolic stroke of undetermined source

Identifiers

PMID35845077
PMCPMC9280085
OpenAlexW4283731576

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.