Evidence map›Paper›PMID 30292759›Full record

ArticleChest2019

A Simple Clinical Risk Score (C

Yan-Guang Li, Daniele Pastori, Alessio Farcomeni, Pil-Sung Yang, Eunsun Jang, Boyoung Joung, Yu-Tang Wang, Yu-Tao Guo, Gregory Y H Lip

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04657900 (Predicting Patient-level New Onset Atrial Fibrillation From Population-based Nationwide Electronic Health Records), which is not on this map. Cited by 109 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 8 pooled it
13.1field-weighted citation impact, top 1% 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.

NCT04657900 completednot on this mapstarted 2020, after this paper: background citation

Predicting Patient-level New Onset Atrial Fibrillation From Population-based Nationwide Electronic Health Records: A Precision Medicine Investigation Using Artificial Intelligence

TypeobservationalSponsorUniversity of LeedsRan2020 to 2023Enrolled140,000ConditionsAtrial FibrillationArmsObservational
3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 8 syntheses or guidelines pooled it, 186 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Pooled it
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  6. Pooled it
  7. Pooled it
  8. Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis.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 · 2020
    Pooled it
  9. Trial
  10. Article
  11. 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
  12. Article
  13. Article
  14. Article
  15. Approach to the patient with severe hyperthyroidism-related complications.The Journal of clinical endocrinology and metabolism · 2026
    Review
  16. Review
  17. Article
  18. Comment on "Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm".Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  19. Review
  20. Article

49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Yan-Guang LiInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom; Department of Cardiology, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Daniele PastoriInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom; I Clinica Medica, Atherothrombosis Center, Department of Internal Medicine and Medical Specialties, Sapienza University, Rome, Italy.
Alessio FarcomeniDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Pil-Sung YangDepartment of Cardiology, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Eunsun JangDivision of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Boyoung JoungDivision of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Yu-Tang WangDepartment of Cardiology, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Yu-Tao GuoDepartment of Cardiology, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Gregory Y H LipInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom; Department of Cardiology, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China; Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea; Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Liverpool Centre for Cardiovascular Sciences, University of Liverpool, Liverpool, United Kingdom. Electronic address: Gregory.Lip@liverpool.ac.uk.
Chinese PLA General Hospital · CNYonsei University Health System · KRCHA University Bundang Medical Center · KRUniversity of Birmingham · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of atrial fibrillation (AF) is increasing, conferring a major health-care issue in Asia. No risk score for predicting incident AF has been specifically developed in Asian subjects. Our aim was to investigate risk factors for incident AF in Asian subjects and to combine them into a simple clinical risk score.

methodsRisk factors for incident AF were analyzed in 471,446 subjects from the Chinese Yunnan Insurance Database (internal derivation cohort) and then combined into a simple clinical risk score. External application of the new score was performed in 451,199 subjects from the Korean National Health Insurance Service (external cohort).

resultsIn the internal cohort, structural heart disease (SHD), heart failure (HF), age ≥ 75 years, coronary artery disease (CAD), hyperthyroidism, COPD, and hypertension were associated with incident AF. Given the low prevalence and the strong association of SHD with incident AF (hazard ratio, 26.07; 95% CI, 18.22-37.30; P < .001), these patients should be independently considered as high risk for AF and were excluded from the analysis. The remaining predictors were combined into the new simple C

conclusionsWe have developed and validated the C

Indexed as

Asian PeopleAtrial FibrillationRisk AssessmentAgedAge FactorsCardiovascular DiseasesChinaCohort StudiesComorbidityFemaleHumansHyperthyroidismIncidenceMalePrognosisProportional Hazards ModelsAsianatrial fibrillationcohort studyprediction modelrisk factorsrisk score

Identifiers

PMID30292759
PMCPMC6437029
OpenAlexW2895152564

What OpenQuestion holds

Textmetadata
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.