The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The case for early detection
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Cost-Effectiveness in Health and Medicine
(1996) · doi:10.1093/oso/9780195108248.001.0001 · Cited by 7,193
Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236
Phases of Biomarker Development for Early Detection of Cancer
Pepe, M. S., Etzioni, R., Feng, Z., Potter, J. D., Thompson, M. L., Thornquist, M., Winget, M., & Yasui, Y. (2001) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/93.14.1054 · Cited by 1,686
Self-citation
Cited by
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
Self-citationProtein biomarker discovery and validation: the long and uncertain path to clinical utility
Rifai, N., Gillette, M. A., & Carr, S. A. (2006) · Nature Biotechnology · doi:10.1038/nbt1235 · Cited by 1,867
The cancer cell secretome: A good source for discovering biomarkers?
Pavlou, M. P., & Diamandis, E. P. (2010) · Journal of Proteomics · doi:10.1016/j.jprot.2010.04.003 · Cited by 200
Ultrasensitive tumour-penetrating nanosensors of protease activity
Kwon, E. J., Dudani, J. S., & Bhatia, S. N. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0054 · Cited by 131
Biomarkers for early detection of breast cancer: What, when, and where?
LEVENSON, V (2007) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2007.01.017 · Cited by 131
Metadata
- Authors
- Etzioni, R., Urban, N., Ramsey, S., McIntosh, M., Schwartz, S., Reid, B., Radich, J., Anderson, G., & Hartwell, L.
- Venue
- Nature Reviews Cancer
- Published
- 2003-04
- Volume
- 3
- Issue
- 4
- Pages
- 243-252
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W1729812787
- Cited by
- 1,155
- References
- 5
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
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- CoChat. (2026). Citation check: The case for early detection. https://app.cochat.ai/papers/10.1038/nrc1041
- The paper
- Etzioni, R., Urban, N., Ramsey, S., McIntosh, M., Schwartz, S., Reid, B., Radich, J., Anderson, G., & Hartwell, L. (2003). The case for early detection. Nature Reviews Cancer. https://doi.org/10.1038/nrc1041
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.