The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Assessing Prostate Cancer Risk: Results from the Prostate Cancer Prevention Trial
Abstract
BACKGROUND: Prostate-specific antigen (PSA) testing is the primary method used to diagnose prostate cancer in the United States. Methods to integrate other risk factors associated with prostate cancer into individualized risk prediction are needed. We used prostate biopsy data from men who participated in the Prostate Cancer Prevention Trial (PCPT) to develop a predictive model of prostate cancer. METHODS: We included 5519 men from the placebo group of the PCPT who underwent prostate biopsy, had at least one PSA measurement and a digital rectal examination (DRE) performed during the year before the biopsy, and had at least two PSA measurements performed during the 3 years before the prostate biopsy. Logistic regression was used to model the risk of prostate cancer and high-grade disease associated with age at biopsy, race, family history of prostate cancer, PSA level, PSA velocity, DRE result, and previous prostate biopsy. Risk equations were created from the estimated logistic regression models. All statistical tests were two-sided. RESULTS: A total of 1211 (21.9%) men were diagnosed with prostate cancer by prostate biopsy. Variables that predicted prostate cancer included higher PSA level, positive family history of prostate cancer, and abnormal DRE result, whereas a previous negative prostate biopsy was associated with reduced risk. Neither age at biopsy nor PSA velocity contributed independent prognostic information. Higher PSA level, abnormal DRE result, older age at biopsy, and African American race were predictive for high-grade disease (Gleason score > or =7) whereas a previous negative prostate biopsy reduced this risk. CONCLUSIONS: This predictive model allows an individualized assessment of prostate cancer risk and risk of high-grade disease for men who undergo a prostate biopsy.
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
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
The Influence of Finasteride on the Development of Prostate Cancer
Thompson, I. M., Goodman, P. J., Tangen, C. M., Lucia, M. S., Miller, G. J., Ford, L. G., Lieber, M. M., Cespedes, R. D., Atkins, J. N., Lippman, S. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030660 · Cited by 2,518
Self-citationThompson, I. M., Pauler, D. K., Goodman, P. J., Tangen, C. M., Lucia, M. S., Parnes, H. L., Minasian, L. M., Ford, L. G., Lippman, S. M., Crawford, E. D., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa031918 · Cited by 2,446
Self-citationSathianathen, N. (2021) · 50 Studies Every Urologist Should Know · doi:10.1093/med/9780190655341.003.0002 · Cited by 2,080
Pepe, M. S. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh101 · Cited by 1,276
Schervish, M. J. (1995) · Springer Series in Statistics · doi:10.1007/978-1-4612-4250-5 · Cited by 1,046
Thompson, I. M. (2005) · JAMA · doi:10.1001/jama.294.1.66 · Cited by 704
Self-citationHuman prostate cancer risk factors
Bostwick, D. G., Burke, H. B., Djakiew, D., Euling, S., Ho, S.-M., Landolph, J., Morrison, H., Sonawane, B., Shifflett, T., Waters, D. J., et al. (2004) · Cancer · doi:10.1002/cncr.20408 · Cited by 650
Cited by
Bhasin, S., Cunningham, G. R., Hayes, F. J., Matsumoto, A. M., Snyder, P. J., Swerdloff, R. S., & Montori, V. M. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-2354 · Cited by 1,954
Prostate cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Parker, C., Castro, E., Fizazi, K., Heidenreich, A., Ost, P., Procopio, G., Tombal, B., & Gillessen, S. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.06.011 · Cited by 977
American Cancer Society Guideline for the Early Detection of Prostate Cancer: Update 2010
Wolf, A. M. D., Wender, R. C., Etzioni, R. B., Thompson, I. M., D'Amico, A. V., Volk, R. J., Brooks, D. D., Dash, C., Guessous, I., Andrews, K., et al. (2010) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20066 · Cited by 965
Self-citationEffects of Testosterone Treatment in Older Men
Snyder, P. J., Bhasin, S., Cunningham, G. R., Matsumoto, A. M., Stephens-Shields, A. J., Cauley, J. A., Gill, T. M., Barrett-Connor, E., Swerdloff, R. S., Wang, C., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1506119 · Cited by 890
Investigation, treatment and monitoring of late-onset hypogonadism in males
Wang, C., Nieschlag, E., Swerdloff, R., Behre, H. M., Hellstrom, W. J., Gooren, L. J., Kaufman, J. M., Legros, J.-J., Lunenfeld, B., Morales, A., et al. (2008) · European Journal of Endocrinology · doi:10.1530/eje-08-0601 · Cited by 867
Self-citation
Metadata
- Authors
- Thompson, I. M., Ankerst, D. P., Chi, C., Goodman, P. J., Tangen, C. M., Lucia, M. S., Feng, Z., Parnes, H. L., & Coltman, C. A.
- Venue
- JNCI: Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-04-19
- Volume
- 98
- Issue
- 8
- Pages
- 529-534
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2165416035
- Cited by
- 938
- References
- 9
- FWCI
- 56.89
- Type
- journal article
- Language
- en
- Open access
- closed
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: Assessing Prostate Cancer Risk: Results from the Prostate Cancer Prevention Trial. https://app.cochat.ai/papers/10.1093/jnci/djj131
- The paper
- Thompson, I. M., Ankerst, D. P., Chi, C., Goodman, P. J., Tangen, C. M., Lucia, M. S., Feng, Z., Parnes, H. L., & Coltman, C. A. (2006). Assessing Prostate Cancer Risk: Results from the Prostate Cancer Prevention Trial. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djj131
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.
