Evidence map›Paper›PMID 29569253›Full record

ReviewClinical cardiology2018

Detection and management of atrial fibrillation after cryptogenic stroke or embolic stroke of undetermined source.

Tommaso Sanna, Paul D Ziegler, Filippo Crea

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Bayés' Syndrome-A Comprehensive Short Review.Medicina (Kaunas, Lithuania) · 2020
    Review
  5. Article
  6. Atrial Fibrillation and Cryptogenic Thromboembolic Events.Arquivos brasileiros de cardiologia · 2018
    Article
  7. 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

3 authors at 2 institutions in 3 countries.

Tommaso SannaInstitute of Cardiology, Catholic University of the Sacred Heart, Rome, Italy.ORCID http://orcid.org/0000-0002-5760-6885
Paul D ZieglerDiagnostics Research, Medtronic Inc., Mounds View, Minnesota.
Filippo CreaInstitute of Cardiology, Catholic University of the Sacred Heart, Rome, Italy.
Università Cattolica del Sacro Cuore · ITMedtronic (Ireland) · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptogenic stroke (CS) and embolic stroke of unknown source (ESUS) represent a major challenge to healthcare systems worldwide. Atrial fibrillation (AF) is commonly found after CS or ESUS. Independent of the mechanism of the index CS or ESUS, detection of AF in these patients offers the opportunity to reduce the risk of stroke recurrence by prescribing an anticoagulant instead of aspirin. The detection of AF may be pursued with different monitoring strategies. Comparison of monitoring strategies should take into account that AF detection rates reported in published studies, and then pooled in meta-analyses, are not only a function of the monitoring strategy itself, but also depend on patient-related, device-related, and study design-related factors. Once AF is found, the decision to anticoagulate a patient should be made on the basis of AF burden and the baseline risk of the patient. Empirical anticoagulation in patients with ESUS and no evidence of AF is an intriguing but still-unproven strategy and therefore should not be adopted outside of randomized clinical trials.

Indexed as

Brain IschemiaDiagnostic Techniques, NeurologicalDisease ManagementIntracranial EmbolismAtrial FibrillationHumansRisk FactorsThrombolytic TherapyAtrial FibrillationStroke

Identifiers

PMID29569253
PMCPMC6490022
OpenAlexW2794213663

What OpenQuestion holds

Textmetadata
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.