Evidence map›Paper›PMID 31587426›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2020

Magnetocardiography for identification of coronary ischemia in patients with chest pain and normal resting 12-lead electrocardiogram.

Raja Ramesh, Sengottuvel Senthilnathan, Santhosh Satheesh, Pragyna Parimita Swain, Rajesh Patel, Ajith Ananthakrishna Pillai, Gireesan Katholil, Raja J Selvaraj

Open access · hybridAbstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The magnetocardiogram.Biophysics reviews · 2024
    Review
  6. Magnetocardiography for the detection of myocardial ischemia.Frontiers in cardiovascular medicine · 2023
    Review
  7. Magnetocardiography for identification of coronary ischemia in patients with chest pain and normal resting 12-lead electrocardiogram.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
    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

8 authors at 2 institutions in 1 country.

Raja RameshDepartment of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Sengottuvel SenthilnathanMagnetoencephalography Laboratory, SQUIDs and Applications Section, Materials Science Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, India.ORCID 0000-0002-4444-7918
Santhosh SatheeshDepartment of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Pragyna Parimita SwainMagnetoencephalography Laboratory, SQUIDs and Applications Section, Materials Science Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, India.
Rajesh PatelMagnetoencephalography Laboratory, SQUIDs and Applications Section, Materials Science Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, India.
Ajith Ananthakrishna PillaiDepartment of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Gireesan KatholilMagnetoencephalography Laboratory, SQUIDs and Applications Section, Materials Science Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, India.
Raja J SelvarajDepartment of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.ORCID 0000-0001-7896-8861
Indira Gandhi Centre for Atomic Research · INJawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of coronary ischemia in patients presenting with chronic chest pain is difficult as resting ECG can be normal. Diagnosis of coronary ischemia requires evaluation during exercise or pharmacological stress. A noninvasive test to identify coronary ischemia at rest without the need for exercise is desirable. We studied the diagnostic accuracy of magnetocardiography (MCG) at rest to detect coronary ischemia in these patients.

methodsPatients with chronic chest pain and suspected coronary ischemia with a normal ECG were included. Patients underwent treadmill test (TMT) and were divided into TMT positive and TMT negative groups. MCG was recorded in a magnetically shielded room. Iso-field contour maps generated at the T-wave peak were compared between the groups. From the magnetic field map (MFM), the magnetic field angle at T-wave peak was calculated and was also compared across the two groups.

resultsThere were a total of 29 patients, 12 with positive TMT and 17 with negative TMT. An abnormal magnetic field angle was more common in the TMT positive group (72% vs. 6%). Abnormal contour maps in the form of nondipole patterns or abnormal orientation were seen in 81.8% (9/11) patients in TMT positive group and 6.8% (1/17) patients in the TMT negative group (p < .001).

conclusionAbnormal magnetic field angle and abnormal magnetic field maps in MCG recorded at rest are able to identify the presence of coronary ischemia in patients with chronic chest pain and a normal resting ECG.

Indexed as

Chest PainCoronary Artery DiseaseElectrocardiographyExercise TestFemaleHumansMagnetocardiographyMaleMiddle AgedMyocardial IschemiaProspective StudiesSensitivity and Specificitybasicclinicalelectrocardiographynon-invasive techniques

Identifiers

PMID31587426
PMCPMC7358824
OpenAlexW2978164003

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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.