Evidence map›Paper›PMID 32823777›Full record

ReviewMedicina (Kaunas, Lithuania)2020

Bayés' Syndrome-A Comprehensive Short Review.

Emma Murariu, Attila Frigy

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2020. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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.

Emma MurariuDepartment of Internal Medicine, Clinical County Hospital Mureș, Gh. Marinescu str. 1, 540103 Târgu Mureș, Romania.
Attila FrigyDepartment of Internal Medicine IV, G.E. Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Gh. Marinescu str. 38, 540142 Târgu Mureș, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction and early detection of atrial fibrillation (AF) remain a permanent challenge in everyday practice. Timely identification of an increased risk for AF episodes (which are frequently asymptomatic) is essential in the primary and secondary prevention of cardioembolic events. One of the noninvasive modalities of AF prediction is represented by the electrocardiographic P-wave analysis. This includes the study and diagnosis of interatrial conduction block (Bachmann's bundle block). Bayés' Syndrome (named after its first descriptor) denotes the association between interatrial conduction defect and supraventricular arrhythmias (mainly AF) predisposing to cardioembolic events. Our short review presents an update of the most important data concerning this syndrome: brief history, main ECG features, pathophysiological background and clinical implications.

Indexed as

ElectrocardiographyHeart Conduction SystemHumansInteratrial BlockStrokeatrial fibrillationelectrocardiographyinteratrial conduction blockP-wave

Identifiers

PMID32823777
PMCPMC7466178

What OpenQuestion holds

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Registered trials

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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.