The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Magnetocardiography Predicts Coronary Artery Disease in Patients with Acute Chest Pain
Open accessAbstract
Background: The value of magnetocardiography (MCG) for the detection of cardiac electrical disturbances associated with myocardial ischemia was studied. Methods: Sensitivity and predictivity of admission MCG for the presence of coronary artery disease (CAD) were prospectively evaluated in 264 consecutive patients presenting with acute chest pain and without ST‐segment elevation. MCG findings were compared with 12‐lead ECG, echocardiography (ECHO), and troponin‐I in a head‐to‐head design. Coronary angiography was used for CAD diagnosis. Results: The visual assessment of magnetocardiograms by the experienced reader (R1) was superior to that by the unexperienced reader (R2) and superior to the automated computer analysis. Specificity and positive predictive value of MCG by R1 were comparable with those of ECG and troponin‐I (>90%), while ECHO specificity and ECHO positive predictive value were lower (76.2% and 87.9%, respectively). Sensitivity and negative predictive value of MCG were twice as high as those in the ECG, troponin‐I, and ECHO tests. Conclusion: For the prediction of CAD in patients presenting with acute chest pain and without ST‐segment elevation, an admission MCG test was superior to an admission ECG, ECHO, and troponin‐I. The results of the study, however, are applicable only to a highly selected population comprising patients in whom immediate coronary angiography can be performed based on their clinical course in the hospital.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“As another, the ability to detect repolarization abnormalities (potential heart infarction) at rest, even in patients with non-specific 12-lead ECG and normal troponine enzyme test [28].”
From Biomagnetism using SQUIDs: status and perspectives (2006) · cites this paper as [28]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Antman, E. M., Bassand, J., Klein, W. W., Ohman, M. E., Sendón, J. L. L., Rydén, L., Simoons, M. L., & Tendera, M. (2000) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(00)00804-4 · Cited by 4,824
Scanlon, P. J., Faxon, D. P., Audet, A. J., Carabello, B. A., DEHMER, G. J., Eagle, K. A., Legako, R. D., Leon, D. F., Murray, J. A., Nissen, S. E., et al. (1999) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00126-6 · Cited by 1,121
Selection and interpretation of diagnostic tests and procedures. Principles and applications.
Griner, P. F., Mayewski, R. J., Mushlin, A. I., & Greenland, P. (1981) · PubMed · Cited by 765
Selection and interpretation of diagnostic tests and procedures
Griner, P. F., Mayewski, R. J., Mushlin, A. I., & Greenland, P. (1981) · Annals of Internal Medicine · Cited by 595
Angioscopic Evaluation of Coronary-Artery Thrombi in Acute Coronary Syndromes
Mizuno, K., Satomura, K., Miyamoto, A., Arakawa, K., Shibuya, T., Arai, T., Kurita, A., Nakamura, H., & Ambrose, J. A. (1992) · New England Journal of Medicine · doi:10.1056/nejm199201303260502 · Cited by 590
Use of the Electrocardiogram in Acute Myocardial Infarction
ZIMETBAUM, P. J., & Josephson, M. E. (2003) · New England Journal of Medicine · doi:10.1056/nejmra022700 · Cited by 435
Bertrand, M. E. (2000) · European Heart Journal · doi:10.1053/euhj.2000.2301 · Cited by 412
Gibler, W. B., Lewis, L. M., Erb, R. E., Makens, P. K., Kaplan, B. C., Vaughn, R. H., Biagini, A. V., Blanton, J., & Campbell, W. B. (1990) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(05)82598-3 · Cited by 212
Diver, D. J., Bier, J. D., Ferreira, P. E., Sharaf, B. L., McCabe, C. H., Thompson, B., CHAITMAN, B. R., Williams, D. O., D, E. B. M., & The TIMI-IIIA Investigators (1994) · The American Journal of Cardiology · doi:10.1016/0002-9149(94)90739-0 · Cited by 206
Leitlinien: Akutes Koronarsyndrom (ACS)
Hamm, C. W. (2004) · Zeitschrift für Kardiologie · doi:10.1007/s00392-004-0109-x · Cited by 163
Research works printed but not linked: 3
- Sternickel K, 2002, Unshielded measurements of cardiac electric activity using magneto‐cardiography, Int J Bioelectromagnetism, 4, 189
- 1995, Physical status: The use and interpretation of anthropometry. Report of a WHO expert committee, WHO Tech Rep Ser, 854, 1
- Park J‐W, 2003, Heart Disease. Pathogenesis, Diagnosis and Treatment, 131
Cited by
Sorted by citations
Items 101–109 of 109
Magnetocardiography in Diagnosis of Stress-Induced Cardiomyopathy
Hunter, D. D., Sularz, A., Adi, M. Z., Al-Abcha, A. K., Matin, A., Bakharev, A., Vanmeter, D. E., Alkhouli, M. A., & Hevesi, S. A. (2025) · JACC Case Reports · doi:10.1016/j.jaccas.2025.104037
Madias, J. E. (2026) · JACC Case Reports · doi:10.1016/j.jaccas.2025.105992
Meta-analysis of magnetocardiography in diagnosing coronary artery disease and myocardial ischemia
Li, J., Yan, M., Xiang, M., & Ning, X. (2026) · Next research. · doi:10.1016/j.nexres.2026.101496
Application of artificial intelligence on magnetocardiology
Mockler, J., Yang, S., Schmid, L., Bannasch, S., Maier, A., & Park, J. W. (2025) · Clinical Hemorheology and Microcirculation · doi:10.1177/13860291251378923
Self-citationAn, Z., Wang, S., Zhang, M., Zhang, M., Feng, L., Yang, S., Zhou, Q. G., Hu, H., Tu, C., Zhang, H., et al. (2026) · Cardiovascular Therapeutics · doi:10.1155/cdr/5552371
Xue, X., Liang, J., Xu, D., Chen, Y., Zhang, X., & Xiang, M. (2026) · International Conference on Bioinformatics and Computational Biology (ICBCB) · doi:10.1109/icbcb69424.2026.11621675
Xue, X., Liang, J., Ma, K., Zhu, Y., Zhu, Y., Yang, J., Tian, K., Chen, Y., Xu, D., Liang, J., et al. (2026) · The Visual Computer · doi:10.1007/s00371-026-04656-y
Multiscale nonlinear feature integration for SERF-MCG-based ischemia-cohort discrimination
Li, K., Zhou, X., Jia, Y., Wang, R., Pang, J., Shang, R., Zhang, Y., Cui, Y., Xu, D., & Xiang, M. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.111411
He, Y., Zhang, X., Han, X., Zhang, Z., Zheng, S., Tian, K., & Xiang, M. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1960096
Metadata
- Authors
- Park, J., Hill, P. M., Chung, N., Hugenholtz, P. G., & Jung, F.
- Affiliations
- Johns Hopkins University (US)
- Yonsei University (KR)
- Saarland University (DE)
- Venue
- Annals of Noninvasive Electrocardiology
- Publisher
- Wiley
- Published
- 2005-07
- Volume
- 10
- Issue
- 3
- Pages
- 312-323
- ISSN
- 1082-720X (ISSN-L)
- 1542-474X
- PMC
- PMC6932599
- OpenAlex
- W2068244737
- Cited by
- 109
- References
- 20
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 7 · 2023: 4 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 3 · 2017: 4 · 2016: 3 · 2015: 2 · 2014: 3 · 2013: 4 · 2012: 3
- FWCI
- 7.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Noninvasive Electrocardiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Keywords
- magnetocardiography, coronary artery disease, acute chest pain, non-ST-segment elevation, myocardial ischemia, diagnostic accuracy, sensitivity and specificity, positive predictive value, 12-lead ECG, echocardiography, troponin I
- MeSH terms
- Acute Disease, Aged, Chest Pain, Coronary Disease, Echocardiography, Electrocardiography, Female, Humans, Magnetics, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Sensitivity and Specificity, Coronary Angiography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
