The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An evaluation of hERG current assay performance: Translating preclinical safety studies to clinical QT prolongation
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Citations
Cites
Diagnostic tests 4: likelihood ratios
Deeks, J. J., & Altman, D. G. (2004) · BMJ · doi:10.1136/bmj.329.7458.168 · Cited by 1,600
Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
Zou, K. H., O’Malley, A. J., & Mauri, L. (2007) · Circulation · doi:10.1161/circulationaha.105.594929 · Cited by 1,473
Likelihood ratios with confidence: Sample size estimation for diagnostic test studies
Simel, D. L., Samsa, G. P., & Matchar, D. B. (1991) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(91)90128-v · Cited by 932 · cited 1×
“…contingency tables and calculated as the ratio of the probability of a positive test result givenQTc prolongationdivided by the probability of a positive test result given no QTc prolongation (sensitivity/ [1−specificity]); confidence intervals were calculated based on Simel et al. (1991).”
Cited by
Reducing safety-related drug attrition: the use of in vitro pharmacological profiling
Bowes, J., Brown, A. J., Hamon, J., Jarolimek, W., Sridhar, A., Waldron, G., & Whitebread, S. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3845 · Cited by 748
Limitations of Animal Studies for Predicting Toxicity in Clinical Trials
Van Norman, G. A. (2019) · JACC: Basic to Translational Science · doi:10.1016/j.jacbts.2019.10.008 · Cited by 732
Discovery of Asciminib (ABL001), an Allosteric Inhibitor of the Tyrosine Kinase Activity of BCR-ABL1
Schoepfer, J., Jahnke, W., Berellini, G., Buonamici, S., Cotesta, S., Cowan-Jacob, S. W., Dodd, S., Drueckes, P., Fabbro, D., Gabriel, T., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b01040 · Cited by 454
Evolution of strategies to improve preclinical cardiac safety testing
Gintant, G., Sager, P. T., & Stockbridge, N. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.34 · Cited by 407
Self-citationMICE Models: Superior to the HERG Model in Predicting Torsade de Pointes
Kramer, J., Obejero-Paz, C. A., Myatt, G., Kuryshev, Y. A., Bruening-Wright, A., Verducci, J. S., & Brown, A. M. (2013) · Scientific Reports · doi:10.1038/srep02100 · Cited by 347
Metadata
- Authors
- Gintant, G.
- Venue
- Pharmacology & Therapeutics
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 129
- Issue
- 2
- Pages
- 109-119
- ISSN
- 0163-7258 (ISSN-L)
- OpenAlex
- W1975438579
- Cited by
- 222
- References
- 3
- FWCI
- 9.81
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- This page
- CoChat. (2026). Citation check: An evaluation of hERG current assay performance: Translating preclinical safety studies to clinical QT prolongation. https://app.cochat.ai/papers/10.1016/j.pharmthera.2010.08.008
- The paper
- Gintant, G. (2011). An evaluation of hERG current assay performance: Translating preclinical safety studies to clinical QT prolongation. Pharmacology & Therapeutics. https://doi.org/10.1016/j.pharmthera.2010.08.008
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.
