Evidence map›Paper›PMID 42494927›Full record

ArticleJuntendo medical journal2026

Hidden Beats: Detection of Subclinical Atrial Fibrillation Using Questionnaires in Young Adults and Its Cardiovascular Risk Profile.

Junaid Ayaz Khan, Sidra Anwar, Beenish Ali Baig, Osagie Joy Iguodala, Shinu Philip, Kinza Riaz, Haniyya Hussain Cp, Shaumile Hasan Khan, Qaiser Khan, Misha Mohammadi and 1 more

Abstract read
In one paragraph

Article in Juntendo medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Junaid Ayaz Khan
Sidra Anwar
Beenish Ali Baig
Osagie Joy Iguodala
Shinu Philip
Kinza Riaz
Haniyya Hussain Cp
Shaumile Hasan Khan
Qaiser Khan
Misha Mohammadi
Makurira Vunyorohwashe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objectives were to identify subclinical AF in young individuals and to examine its association with cardiovascular risk profile and quality of life (QoL) in a young adult cohort. Design: A cross-sectional survey was conducted with 403 adults aged 18-40 years in public and private hospitals. Methods: The INTERHEART Modifiable Risk Score (IHMRS), Atrial Fibrillation Effect on Quality-of-Life (AFEQT) questionnaire, and the Modified European Heart Rhythm Association (mEHRA) were used to collect data. The statistics were performed using descriptive statistics, Spearman's correlation, the Mann-Whitney U test, the Kruskal-Wallis test, and multiple linear regression in IBM SPSS 26. Results: Of the 403 respondents, the majority were male (85%) and aged 36-40 (30%). A stronger negative correlation with QoL (0.42, p < 0.001) and a weaker positive correlation with cardiovascular risk (0.13, p = 0.009) were observed between higher EHRA symptom severity and cardiovascular risk. There was also a negative correlation between QoL and IHMRS (r = -0.29, p  = < 0.001). Women presented with greater symptoms and low QoL (p < 0.001). The regression analysis showed that predictors of better IHMRS were age, male gender, higher EHRA scores, physical inactivity, and a family history of CVD. In contrast, better QoL was a protective factor (p < 0.01). Conclusions: Subclinical AF symptoms were highly correlated with increased cardiovascular risks and decreased QoL in young adults. Early detection of high-risk individuals, especially in settings with limited resources, could be achieved through simple questionnaire-based screening.

Indexed as

cardiovascular riskINTERHEART risk scorequality of lifesubclinical atrial fibrillation

Identifiers

PMID42494927
PMCPMC13392489

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.