The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Value of the P-wave signal-averaged ECG for predicting atrial fibrillation after cardiac surgery.
Open accessAbstract
BACKGROUND: Atrial fibrillation (AF) is a commonly encountered arrhythmia in clinical practice, and it occurs frequently after cardiac surgery. The P-wave signal-averaged (SA) ECG noninvasively detects atrial conduction delay. Prior studies have described greater P-wave prolongation in patients with a history of AF, but prospective studies have not been performed. METHODS AND RESULTS: Consecutive patients undergoing cardiac surgery were enrolled. The P-wave SAECG was recorded before surgery from three orthogonal leads using a sinus P-wave template and a cross-correlation function. The averaged P wave was filtered with a least-squares-fit filter and combined into a vector magnitude, and total P-wave duration was measured. Patients were observed after cardiac surgery for the development of AF. One hundred thirty patients were enrolled, and 33 (25%) developed AF 2.6 +/- 2.0 days after surgery. Patients with AF more often had left ventricular hypertrophy on ECG (P < .05) and had a lower ejection fraction (P < .05). The P-wave duration on the SAECG was significantly longer in the AF patients than in those without AF: 152 +/- 18 versus 139 +/- 17 milliseconds (P < .001). An SAECG P-wave duration > 140 milliseconds predicted AF with sensitivity of 77%, specificity of 55%, positive predictive accuracy of 37%, and negative predictive accuracy of 87%. The likelihood of experiencing AF was increased 3.9-fold if the SAECG P-wave duration was prolonged. P-wave SAECG results were independent of other clinical variables by multivariate analysis. CONCLUSIONS: The P-wave duration recorded with the SAECG is a potent, accurate, and independent predictor of AF after cardiac surgery.
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.
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
On the multiple wavelet hypothesis o f atrial fibrillation.
Moe, G. K. (1962) · Medical Entomology and Zoology · Cited by 714
Experimental evaluation of Moe's multiple wavelet hypothesis of atrial fibrillation
Ma, A. (1985) · Medical Entomology and Zoology · Cited by 582
Fukunami, M., Yamada, T., Ohmori, M., Kumagai, K., Umemoto, K., Sakai, A., Kondoh, N., Minamino, T., & Hoki, N. (1991) · Circulation · doi:10.1161/01.cir.83.1.162 · Cited by 353
Gomes, J. A., Winters, S. L., Martinson, M., Machac, J., Stewart, D., & Targonski, A. (1989) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(89)90515-9 · Cited by 254
Atrial fibrillation following coronary artery bypass surgery
Lauer, M. S., Eagle, K. A., Buckley, M. J., & DeSanctis, R. W. (1989) · Progress in Cardiovascular Diseases · doi:10.1016/0033-0620(89)90031-5 · Cited by 244
The signal-averaged P wave duration: A rapid and noninvasive marker of risk of atrial fibrillation
Guidera, S. A., & Steinberg, J. S. (1993) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(93)90381-a · Cited by 233
Self-citationTaylor, G. J., Malik, S. A., Colliver, J. A., Dove, J. T., Weston Moses, H., Mikell, F. L., Batchelder, J. E., Schneider, J. A., & Wellons, H. A. (1987) · The American Journal of Cardiology · doi:10.1016/0002-9149(87)91045-9 · Cited by 188
Boyden, P. A., & Hoffman, B. F. (1981) · Circulation Research · doi:10.1161/01.res.49.6.1319 · Cited by 142
Risk factors for atrial fibrillation after coronary artery bypass grafting
Crosby, L. H., Pifalo, W. B., Woll, K. R., & Burkholder, J. A. (1990) · The American Journal of Cardiology · doi:10.1016/0002-9149(90)90550-k · Cited by 121
Cardiac arrhythmias during and after heart surgery: Diagnosis and management
Angelini, P., Feldman, M. I., Lufschanowski, R., & Leachman, R. D. (1974) · Progress in Cardiovascular Diseases · doi:10.1016/0033-0620(74)90007-3 · Cited by 95
Cited by
Fuster, V., Rydén, L. E., Cannom, D. S., Crijns, H. J., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Le Heuzey, J.-Y., Kay, G. N., Lowe, J. E., et al. (2006) · Circulation · doi:10.1161/circulationaha.106.177292 · Cited by 2,805
Pathophysiological mechanisms of atrial fibrillation: a translational appraisal
Schotten, U., Verheule, S., Kirchhof, P., & Goette, A. (2011) · Physiological Reviews · doi:10.1152/physrev.00031.2009 · Cited by 1,273
Fuster, V., Rydén, L. E., Cannom, D. S., Crijns, H. J., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Kay, G. N., Le Huezey, J.-Y., Lowe, J. E., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318214876d · Cited by 859
Simple electrocardiographic markers for the prediction of paroxysmal idiopathic atrial fibrillation
Dilaveris, P. E., Gialafos, E. J., Sideris, S. K., Theopistou, A. M., Andrikopoulos, G. K., Kyriakidis, M., Gialafos, J. E., & Toutouzas, P. K. (1998) · American Heart Journal · doi:10.1016/s0002-8703(98)70030-4 · Cited by 697
Writing Committee Members, Fuster, V., Ryden, L. E., Cannom, D. S., Crijns, H. J., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Le Heuzey, J.-Y., Kay, G. N., et al. (2006) · Europace · doi:10.1093/europace/eul097 · Cited by 667
Metadata
- Authors
- Steinberg, J. S., Zelenkofske, S., Wong, S. C., Gelernt, M., Sciacca, R., & Menchavez, E.
- Venue
- Circulation
- Published
- 1993-12
- Volume
- 88
- Issue
- 6
- Pages
- 2618-2622
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2110516088
- Cited by
- 309
- References
- 12
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Value of the P-wave signal-averaged ECG for predicting atrial fibrillation after cardiac surgery. https://app.cochat.ai/papers/10.1161/01.cir.88.6.2618
- The paper
- Steinberg, J. S., Zelenkofske, S., Wong, S. C., Gelernt, M., Sciacca, R., & Menchavez, E. (1993). Value of the P-wave signal-averaged ECG for predicting atrial fibrillation after cardiac surgery. Circulation. https://doi.org/10.1161/01.cir.88.6.2618
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
