The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Age- and Sex-Related Differences in Clinical Manifestations in Patients With Congenital Long-QT Syndrome: Findings From the International LQTS Registry
Open accessAbstract
Background —Unexplained female predominance is observed in long-QT syndrome (LQTS), a congenital autosomal disorder with prolonged repolarization and syncope or sudden death due to ventricular tachyarrhythmias. Our objectives were to evaluate age- and sex-related differences in events among LQTS patients referred to the LQTS International Registry. Methods and Results —Age- and sex-related occurrence of events was analyzed in 479 probands (70% females) and 1041 affected family members (QT c >440 ms, 58% females). LQTS-gene mutations were identified in 162 patients: 69 LQT1 carriers ( KVLQT1 on 11p15.5), 62 LQT2 carriers ( HERG on 7q35-36), and 31 LQT3 carriers ( SCN5A on 3p21-24). Females predominated among 366 probands (71% females) and 230 symptomatic family members (62% females). Male probands were younger than females at first event (8±7 versus 14±10 years, P <0.0001) and had higher event rates by age 15 years than females (74% versus 51%, P <0.0001). Affected family members had similar findings. By Cox analysis adjusting for QT c duration, the hazard ratio for female probands of experiencing events by age 15 years was 0.48 ( P <0.001), and it was 1.87 ( P =0.09) by age 15 to 40 years. In female family members, the hazard ratio was 0.58 ( P <0.001) by age 15 years, and it was 3.25 ( P <0.001) by age 15 to 40 years. The event rate was higher in male than female LQT1 carriers (69% versus 32%, P =0.001). No age-sex difference in event rate was detected in LQT2 and LQT3 carriers. Conclusions —Among LQTS patients, the risk of cardiac events was higher in males until puberty and higher in females during adulthood. The same pattern was evident among LQT1 gene carriers. Unknown sex factors modulate QT duration and arrhythmic events, with preliminary evidence of gene-specific differences in age-sex modulation.
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
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,181
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Cardiac Electrophysiology: From Cell to Bedside
(1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-114-12-1069_5 · Cited by 2,385
A molecular basis for cardiac arrhythmia: HERG mutations cause long QT syndrome
Curran, M. E., Splawski, I., Timothy, K. W., Vincen, G. M., Green, E. D., & Keating, M. T. (1995) · Cell · doi:10.1016/0092-8674(95)90358-5 · Cited by 2,259
Self-citationPositional cloning of a novel potassium channel gene: KVLQT1 mutations cause cardiac arrhythmias
Wang, Q., Curran, M. E., Splawski, I., Burn, T. C., Millholland, J. M., VanRaay, T. J., Shen, J., Timothy, K. W., Vincent, G. M., de Jager, T., et al. (1996) · Nature Genetics · doi:10.1038/ng0196-17 · Cited by 1,759
Self-citationSCN5A mutations associated with an inherited cardiac arrhythmia, long QT syndrome
Wang, Q., Shen, J., Splawski, I., Atkinson, D., Li, Z., Robinson, J. L., Moss, A. J., Towbin, J. A., & Keating, M. T. (1995) · Cell · doi:10.1016/0092-8674(95)90359-3 · Cited by 1,686
Self-citationJervell, A., & Lange-Nielsen, F. (1957) · American Heart Journal · doi:10.1016/0002-8703(57)90079-0 · Cited by 1,596
Diagnostic criteria for the long QT syndrome. An update.
Schwartz, P. J., Moss, A. J., Vincent, G. M., & Crampton, R. S. (1993) · Circulation · doi:10.1161/01.cir.88.2.782 · Cited by 1,181
Self-citation
Cited by
Drug-induced prolongation of the QT interval
Roden, D. M. (2004) · New England Journal of Medicine · doi:10.1056/nejmra032426 · Cited by 1,965
2020 ESC guidelines on sports cardiology and exercise in patients with cardiovascular disease
Pelliccia, A., Sharma, S., Gati, S., Bäck, M., Börjesson, M., Caselli, S., Collet, J.-P., Corrado, D., Drezner, J. A., Halle, M., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehaa605 · Cited by 1,958
Priori, S. G., Wilde, A. A., Horie, M., Cho, Y., Behr, E. R., Berul, C., Blom, N., Brugada, J., Chiang, C.-E., Huikuri, H., et al. (2013) · Heart Rhythm · doi:10.1016/j.hrthm.2013.05.014 · Cited by 1,942
Self-citationSchwartz, P. J., Priori, S. G., Spazzolini, C., Moss, A. J., Vincent, G. M., Napolitano, C., Denjoy, I., Guicheney, P., Breithardt, G., Keating, M. T., et al. (2001) · Circulation · doi:10.1161/01.cir.103.1.89 · Cited by 1,779
Self-citationWhat Clinicians Should Know About the QT Interval
Al-Khatib, S. M., LaPointe, N. M. A., Kramer, J. M., & Califf, R. M. (2003) · JAMA · doi:10.1001/jama.289.16.2120 · Cited by 667
Metadata
- Authors
- Locati, E. H., Zareba, W., Moss, A. J., Schwartz, P. J., Vincent, G. M., Lehmann, M. H., Towbin, J. A., Priori, S. G., Napolitano, C., Robinson, J. L., Andrews, M., Timothy, K., & Hall, W. J.
- Venue
- Circulation
- Published
- 1998-06-09
- Volume
- 97
- Issue
- 22
- Pages
- 2237-2244
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2029433670
- Cited by
- 493
- References
- 43
- FWCI
- 10.39
- 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: Age- and Sex-Related Differences in Clinical Manifestations in Patients With Congenital Long-QT Syndrome: Findings From the International LQTS Registry. https://app.cochat.ai/papers/10.1161/01.cir.97.22.2237
- The paper
- Locati, E. H., Zareba, W., Moss, A. J., Schwartz, P. J., Vincent, G. M., Lehmann, M. H., Towbin, J. A., Priori, S. G., Napolitano, C., Robinson, J. L., Andrews, M., Timothy, K., & Hall, W. J. (1998). Age- and Sex-Related Differences in Clinical Manifestations in Patients With Congenital Long-QT Syndrome: Findings From the International LQTS Registry. Circulation. https://doi.org/10.1161/01.cir.97.22.2237
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.