Evidence map›Paper›PMID 41201422›Full record

ReviewJACC. Asia2026

High Voltage, High Stakes: Assessing Cardiovascular Effects of Electromagnetic Fields From Electric Vehicles.

Ivana Purnama Dewi, Andreas Mercyan Anggitama, Teuku Yusrizal, Kristin Purnama Dewi

Abstract readReview
In one paragraph

Review in JACC. Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ivana Purnama DewiFaculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia; Department of Cardiology and Vascular Medicine, Bethesda Hospital, Yogyakarta, Indonesia. Electronic address: dr_ivanapd@staff.ukdw.ac.id.
Andreas Mercyan AnggitamaFaculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia.
Teuku YusrizalDepartment of Cardiology and Vascular Medicine, Dr Fauziah General Hospital, Bireuen, Indonesia.
Kristin Purnama DewiFaculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia; Department of Pulmonology and Respiratory Medicine, Bethesda Hospital, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electric vehicles (EVs) are increasingly adopted worldwide as a sustainable alternative to internal combustion engine vehicles. Alongside their environmental advantages, concerns have emerged regarding the potential health impacts of electromagnetic field (EMF) exposure generated by EV components and charging processes. This review aims to summarize current evidence on cardiovascular effects associated with EMF exposure from EVs. Relevant studies from PubMed, ScienceDirect, and SCOPUS were evaluated for EMF exposure levels, cardiovascular outcomes, and potential interference with medical devices. Most studies confirm that EMF exposure from EVs remains within international safety standards. Some findings suggest possible biological effects, including oxidative stress and subtle electrocardiogram alterations, though no significant electromagnetic interference has been observed in patients with cardiac implants. Overall, no immediate cardiovascular risks have been identified. Nonetheless, the long-term effects of EV-related EMF exposure remain uncertain, highlighting the need for further longitudinal studies to assess chronic exposure and its potential consequences to support the development of comprehensive safety guidelines.

Indexed as

cardiovascularelectric vehicleselectromagnetic field

Identifiers

PMID41201422
PMCPMC13491075

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.