Evidence map›Paper›PMID 25922764›Full record

ReviewNeurology research international2015

Atrial Fibrillation in the Young: A Neurologist's Nightmare.

Nikhil Aggarwal, Subothini Selvendran, Claire E Raphael, Vassilios Vassiliou

Open access · goldAbstract readReview
In one paragraph

Review in Neurology research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Article
  3. ChatGPT for Patients: A Comprehensive Study on Atrial Fibrillation Awareness.The Journal of innovations in cardiac rhythm management · 2024
    Article
  4. Article
  5. Review
  6. The Effect of Minimally Invasive Thoracoscopic Left Atrial Appendage Excision on Cardiac Dynamic and Endocrine Function.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2021
    Article
  7. Article
  8. Article
  9. Benefits of prescribing low-dose digoxin in atrial fibrillation.International journal of immunopathology and pharmacology
    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

4 authors at 1 institution in 1 country.

Nikhil AggarwalDepartment of Cardiology, Royal Brompton Hospital, Sydney Street, London SW3 6NP, UK ; Imperial College, London, UK.ORCID 0000-0003-1805-5918
Subothini SelvendranDepartment of Cardiology, Royal Brompton Hospital, Sydney Street, London SW3 6NP, UK ; Imperial College, London, UK.ORCID 0000-0002-4242-5512
Claire E RaphaelDepartment of Cardiology, Royal Brompton Hospital, Sydney Street, London SW3 6NP, UK ; Imperial College, London, UK.
Vassilios VassiliouDepartment of Cardiology, Royal Brompton Hospital, Sydney Street, London SW3 6NP, UK ; Imperial College, London, UK.ORCID 0000-0002-4005-7752
Royal Brompton Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia seen in clinical practice with prevalence in excess of 33 million worldwide. Although often asymptomatic and until recently considered a "benign" arrhythmia, it is now appreciated that thromboembolism resulting from AF results in significant morbidity and mortality predominantly due to stroke. Although an arrhythmia more commonly affecting the elderly, AF can also occur in the young. This review focuses on the impact of AF in the younger population and discusses the dilemmas of managing younger patients with AF.

Identifiers

PMID25922764
PMCPMC4398952
OpenAlexW2064539875

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.