The DOI matches its Crossref record.
The Clinical Usefulness of Prostate Specific Antigen: Update 1994
Abstract
In conclusion, PSA is the first prostate specific serum marker of clinical usefulness in urology. It represents a valuable clinical tool that has improved our ability to detect early prostate cancer and to monitor response to therapy. While large PSA screening studies have demonstrated an appreciable increase in the detection of organ confined, potentially curable prostate cancers, no study to date has yet demonstrated that the increased detection rate will decrease the prostate cancer-specific mortality rate. Yet more importantly, no study to date has demonstrated that early diagnosis using PSA will not decrease the prostate cancer specific mortality rate and until such data exist, PSA should be used to aid in early diagnosis and treatment planning for men with prostate cancer. PSA, when combined with other variables such as Gleason score and clinical stage, improves the prediction of pathological stage for prostate cancer. The introduction of PSA velocity and age specific reference ranges should further enhance the clinical usefulness of PSA. New advances in PSA research hold great promise for further improvements in PSA, and truly make it the most important and useful tumor marker for adenocarcinoma of the prostate.
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
Cited by
Imaging Prostate Cancer: A Multidisciplinary Perspective
Hricak, H., Choyke, P. L., Eberhardt, S. C., Leibel, S. A., & Scardino, P. T. (2007) · Radiology · doi:10.1148/radiol.2431030580 · Cited by 601
Novel diagnostic biomarkers for prostate cancer
Madu, C. O., & Lu, Y. (2010) · Journal of Cancer · doi:10.7150/jca.1.150 · Cited by 261
NONPROSTATIC SOURCES OF PROSTATE-SPECIFIC ANTIGEN
Diamandis, E. P., & Yu, H. (1997) · Urologic Clinics of North America · doi:10.1016/s0094-0143(05)70373-6 · Cited by 172
Metadata
- Authors
- Partin, A. W., & Oesterling, J. E.
- Venue
- Journal of Urology
- Published
- 1994-11
- Volume
- 152
- Issue
- 5 Part 1
- Pages
- 1358-1368
- ISSN
- 0022-5347 (ISSN-L)
- 1527-3792
- OpenAlex
- W127182478
- Cited by
- 390
- References
- 0
- FWCI
- 42.50
- 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: The Clinical Usefulness of Prostate Specific Antigen: Update 1994. https://app.cochat.ai/papers/10.1016/s0022-5347(17)32422-9
- The paper
- Partin, A. W., & Oesterling, J. E. (1994). The Clinical Usefulness of Prostate Specific Antigen: Update 1994. Journal of Urology. https://doi.org/10.1016/s0022-5347(17)32422-9
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.