Evidence map›Paper›PMID 28352633›Full record

ReviewWorld journal of clinical cases2017

Bayés syndrome and acute cardioembolic ischemic stroke.

Adrià Arboix, Lucía Martí, Sebastien Dorison, María José Sánchez

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. An Unusual Etiology of Bayés' Syndrome: Fabry Disease.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Future Perspectives to Improve CHAClinical interventions in aging · 2023
    Review
  10. Article
  11. Review
  12. Artificial intelligence and atrial fibrillation.Journal of cardiovascular electrophysiology · 2022
    Review
  13. Article
  14. Article
  15. Second-degree interatrial block: Brief review and concept.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2018
    Review
  16. Atrial cardiopathy: a mechanism of cryptogenic stroke.Expert review of cardiovascular therapy · 2017
    Review
  17. Bayes Syndrome and Imaging Techniques.Current cardiology reviews · 2017
    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

4 authors at 2 institutions in 3 countries.

Adrià ArboixAdrià Arboix, Division of Cerebrovascular, Universitat de Barcelona, 08029 Barcelona, Spain.
Lucía MartíAdrià Arboix, Division of Cerebrovascular, Universitat de Barcelona, 08029 Barcelona, Spain.
Sebastien DorisonAdrià Arboix, Division of Cerebrovascular, Universitat de Barcelona, 08029 Barcelona, Spain.
María José SánchezAdrià Arboix, Division of Cerebrovascular, Universitat de Barcelona, 08029 Barcelona, Spain.
Universitat de Barcelona · ESHospital Universitari Sagrat Cor · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bayés syndrome is an under-recognized clinical condition characterized by advanced interatrial block. Bayés syndrome is a subclinical disease that manifests electrocardiographically as a prolonged

Indexed as

Bayés syndromeCardioembolic strokeCardiovascular risk factorsElectrophysiological processesHeart conduction system

Identifiers

PMID28352633
PMCPMC5352964
OpenAlexW2596895689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.