Evidence map›Paper›PMID 39877666›Full record

ArticleJACC. Advances2025

The mC

Yanguang Li, Qiaoyuan Li, Lili Wang, Tao Zhang, Hai Gao, Daniele Pastori, Zhuo Liang, Gregory Y H Lip, Yunlong Wang

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Yanguang LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Qiaoyuan LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Lili WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Tao ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hai GaoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Daniele PastoriDepartment of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy.
Zhuo LiangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Gregory Y H LipLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, and Liverpool Chest and Heart Hospital, Liverpool, United Kingdom; Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. Electronic address: Gregory.Lip@liverpool.ac.uk.
Yunlong WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. Electronic address: Yunlong76818@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessing individuals' risk of developing incident atrial fibrillation (AF) is important for making preventive and screening strategies. Objectives: The performance of the mC Methods: Participants from the MESA (Multi-Ethnic Study of Atherosclerosis were enrolled in the present study, which involved population of different ethnicities (Caucasian, African-American, Chinese-American, and Hispanic) aged between 45 and 84 from 6 communities in the United States. The discriminative and calibration performance of the mC Results: A total of 4,524 subjects (mean age 60.2 ± 9.5 years; 53.0% female) were included; 565 (mean age 67.0 ± 7.9 years; 46.5% female) developed AF during 13.6 ± 2.5 years of follow-up, with an incidence of 0.93%/year. The mC Conclusions: The mC

Indexed as

atrial fibrillationmC2HESTmultiethnicrisk prediction

Identifiers

PMID39877666
PMCPMC11773033

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.