Evidence map›Paper›PMID 28654919›Full record

ArticleCardiology2017

A Clinical Score for Predicting Atrial Fibrillation in Patients with Cryptogenic Stroke or Transient Ischemic Attack.

Calvin Kwong, Albee Y Ling, Michael H Crawford, Susan X Zhao, Nigam H Shah

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03962166 (Characterizing Patients With Post-operative Atrial Fibrillation in Relation to Cardiac Surgery by Signal Processed Surface Electrocardiogram), which is not on this map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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.

NCT03962166 active not recruitingnot on this mapstarted 2019, after this paper: background citation

Characterizing Patients With Post-operative Atrial Fibrillation in Relation to Cardiac Surgery by Signal Processed Surface Electrocardiogram (wavECG) and Transthoracic Echocardiography A LAACS-2 Sub-study

TypeobservationalSponsorHelena DOMINGUEZRan2019 to 2026Enrolled353ConditionsAtrial Fibrillation, Left Ventricular Diastolic Dysfunction
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Atrial fibrillation after ischemic stroke: What risk scores illuminate and what they miss.International journal of cardiology. Heart & vasculature · 2026
    Article
  6. Article
  7. Identifying patients at low risk for atrial fibrillation after cryptogenic stroke: the PAVA score.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 · 2026
    Observational
  8. Article
  9. Atrial fibrillation detection after embolic stroke of undetermined source: Development and validation of the CATCH-AF score.International journal of stroke : official journal of the International Stroke Society · 2026
    Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Heart Failure and Stroke: A Narrative Review.Journal of clinical medicine · 2025
    Review
  16. Article
  17. The mCJACC. Advances · 2025
    Article
  18. Article
  19. 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

5 authors at 3 institutions in 1 country.

Calvin KwongDepartment of Medicine, Santa Clara Valley Medical Center, San Jose, CA, USA.
Albee Y Ling
Michael H Crawford
Susan X Zhao
Nigam H Shah
Santa Clara Valley Medical Center · USStanford University · USUniversity of California, San Francisco · US

Funding

Mining health data for drug safety profilesR01GM101430 · NIGMS · STANFORD UNIVERSITY · PI SHAH, NIGAM H · 2013 to 2017
$2.9M
NIGMS NIH HHS R01 GM101430
6 · The paper itself

Abstract

objectivesDetection of atrial fibrillation (AF) in post-cryptogenic stroke (CS) or transient ischemic attack (TIA) patients carries important therapeutic implications.

methodsTo risk stratify CS/TIA patients for later development of AF, we conducted a retrospective cohort study using data from 1995 to 2015 in the Stanford Translational Research Integrated Database Environment (STRIDE).

resultsOf the 9,589 adult patients (age ≥40 years) with CS/TIA included, 482 (5%) patients developed AF post CS/TIA. Of those patients, 28.4, 26.3, and 45.3% were diagnosed with AF 1-12 months, 1-3 years, and >3 years after the index CS/TIA, respectively. Age (≥75 years), obesity, congestive heart failure, hypertension, coronary artery disease, peripheral vascular disease, and valve disease are significant risk factors, with the following respective odds ratios (95% CI): 1.73 (1.39-2.16), 1.53 (1.05-2.18), 3.34 (2.61-4.28), 2.01 (1.53-2.68), 1.72 (1.35-2.19), 1.37 (1.02-1.84), and 2.05 (1.55-2.69). A risk-scoring system, i.e., the HAVOC score, was constructed using these 7 clinical variables that successfully stratify patients into 3 risk groups, with good model discrimination (area under the curve = 0.77).

conclusionsFindings from this study support the strategy of looking longer and harder for AF in post-CS/TIA patients. The HAVOC score identifies different levels of AF risk and may be used to select patients for extended rhythm monitoring.

Indexed as

Severity of Illness IndexAgedAged, 80 and overAtrial FibrillationCaliforniaCoronary DiseaseDatabases, FactualFemaleHeart FailureHumansHypertensionIschemic Attack, TransientLogistic ModelsMaleMiddle AgedMultivariate AnalysisAtrial fibrillationCardiovascular risk and preventionCryptogenic strokeRhythm monitoring

Identifiers

PMID28654919
PMCPMC5683906
OpenAlexW2732473309

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.