Evidence map›Paper›PMID 32923332›Full record

SynthesisGlobal heart2020

Meta-Analysis of the Incidence, Prevalence, and Correlates of Atrial Fibrillation in Rheumatic Heart Disease.

Jean Jacques Noubiap, Ulrich Flore Nyaga, Aude Laetitia Ndoadoumgue, Jan René Nkeck, Anderson Ngouo, Jean Joel Bigna

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Global heart, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Metabolic and Inflammatory Mechanisms Driving Atrial Fibrillation.Annual review of pharmacology and toxicology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Left Atrial Dimension and CHAJACC. Advances · 2024
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

6 authors at 3 institutions in 4 countries.

Jean Jacques NoubiapCentre for Heart Rhythm Disorders, South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide and Royal Adelaide Hospital, Adelaide, AU.
Ulrich Flore NyagaDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, Yaoundé, CM.
Aude Laetitia NdoadoumgueSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.
Jan René NkeckDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, Yaoundé, CM.
Anderson NgouoDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, Yaoundé, CM.
Jean Joel BignaDepartment of Epidemiology and Public Health, Centre Pasteur of Cameroon, Yaoundé, CM.
Centre Pasteur du Cameroun · CMSouth Australian Health and Medical Research Institute · AUUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To estimate the incidence, prevalence, and correlates of atrial fibrillation (AF) in a global population with rheumatic heart disease (RHD). Methods: Bibliographic databases were searched to identify all published studies providing data on AF in patients with RHD. Random-effects meta-analysis method was used to pool estimates. Results: Eighty-three studies were included, reporting data from 75,637 participants with RHD in 42 countries. The global prevalence of AF in RHD was 32.8% (range: 4.3%-79.9%). It was higher in severe valvular disease (30.8% vs 20.7%, p = 0.009), in severe mitral valve disease compared to severe aortic disease (30.4% vs 6.3%, p = 0.038). The global cumulative incidence of AF in patients with RHD was 4.8%, 11.4%, 13.2%, and 30.8% at 1, 2, 5, and 10 years of follow-up, respectively. From comparison between patients with and without AF, AF was associated with increased age (mean difference [MD]: 9.5 years; 95% CI: 7.8-1.3), advanced heart failure (odds ratio [OR]: 4.4; 95% CI 2.1-9.3), tricuspid valve involvement (OR: 4.0; 95% CI: 3.0-5.3), history of thromboembolism (OR: 6.2; 95% CI: 3.4-11.4), highly sensitive C-reactive protein (MD: 5.5 mg/dL; 95% CI: 1.2-9.8), systolic pulmonary arterial pressure (MD: 3.6 mmHg; 95% CI: 0.8-6.3), right atrium pressure (MD: 1.5 mmHg; 95% CI: 1.0-2.0), and left atrium diameter (MD: 8.1 mm; 95% CI: 5.5-10.7). Conclusions: About one-third of patients with RHD have AF, with an incidence which almost triples every five years after diagnosis. Factors associated with AF include age, advanced heart failure, thromboembolism, and few cardiac hemodynamics parameters.

Indexed as

RegistriesAtrial FibrillationGlobal HealthHumansPrevalenceRheumatic Heart Diseaseatrial fibrillationincidenceprevalencerheumatic heart diseaserisk factors

Identifiers

PMID32923332
PMCPMC7427678
OpenAlexW3024035230

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.