Evidence map›Paper›PMID 42534237›Full record

ReviewCureus2026

Diagnostic Approaches to Cardiac Arrhythmias: Integrating Electrocardiography and Advanced Monitoring.

Saidalavi Thengilan, Rakesh Venuturumilli, Naresh Sen, Ojas B Solanki, Kumar Sambhav, Naveed Mohsin

Abstract readReview
In one paragraph

Review in Cureus, 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

6 authors.

Saidalavi ThengilanDepartment of Cardiology, Government Medical College, Kozhikode, Kozhikode, IND.
Rakesh VenuturumilliDepartment of Critical Care and Extracorporeal Membrane Oxygenation, Fortis Gleneagles Hospital, Hyderabad, IND.
Naresh SenDepartment of Cardiology, Rama Medical College Hospital and Research Centre, Kanpur, IND.
Ojas B SolankiDepartment of Forensic Medicine and Toxicology, Dr. N. D. Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, IND.
Kumar SambhavDepartment of Anatomy, All India Institute of Medical Sciences, Bilaspur, Bilaspur, IND.
Naveed MohsinDepartment of General Medicine, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac arrhythmias represent a broad spectrum of electrical disturbances and are associated with significant morbidity and mortality, necessitating accurate and timely diagnosis for effective management. Despite the central role of electrocardiography (ECG), limitations in capturing intermittent events and variability in interpretation create diagnostic gaps, particularly in patients with infrequent or asymptomatic presentations. This narrative review aims to synthesize current diagnostic approaches by integrating conventional ECG with advanced monitoring modalities, including ambulatory systems, implantable cardiac monitors, device-derived diagnostic data from pacemakers and implantable cardioverter-defibrillators, electrophysiological studies, imaging, and digital health technologies. Key findings indicate that while standard ECG remains indispensable for initial assessment, extended external monitoring and implantable cardiac monitors significantly improve detection rates, especially in sporadic arrhythmias. Additionally, diagnostic data from pacemakers and implantable cardioverter-defibrillators provide additional rhythm surveillance in patients with therapeutic cardiovascular implantable electronic devices. Multimodal integration, incorporating imaging and artificial intelligence-driven analytics, enhances diagnostic precision and supports personalized risk stratification. These developments have important clinical implications by enabling earlier detection, improving patient-specific management, and facilitating remote monitoring strategies. The findings highlight the need for structured, patient-centered diagnostic pathways that align modality selection with symptom frequency and clinical risk profiles. Continued technological innovation and data integration are expected to refine diagnostic accuracy and efficiency. Effective arrhythmia diagnosis relies on combining traditional and advanced tools within an integrated framework to optimize clinical outcomes.

Indexed as

ambulatory monitoringarrhythmia diagnosiselectrocardiographyimplantable loop recorderwearable cardiac devices

Identifiers

PMID42534237
PMCPMC13419874

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Registered trials

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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.