{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T09:01:32Z","timestamp":1785315692844,"version":"3.55.0"},"reference-count":34,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T00:00:00Z","timestamp":1783641600000},"content-version":"vor","delay-in-days":9,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100018650","name":"Percy Falk Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018650","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJUI Compass"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The objective of this study is to examine whether a baseline calculation of PSAD is associated with prostate cancer\u2010specific mortality after 30\u2009years of follow\u2010up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>One\u2010thousand seven\u2010hundred and seventy\u2010nine men were screened for prostate cancer with a PSA test, digital rectal exam (DRE) and ultrasound of the prostate (TRUS). Outcomes, that is, prostate cancer\u2010specific mortality, were extracted from the Swedish National Cause of Death Registry. Hazard ratios for cancer\u2010specific deaths were estimated using Cox proportional hazard regression model. The area under the receiver operating curve (AUC) was determined using logistic regression for men with a baseline PSA in the interval between 3.0 and 10.0\u00a0ng\/ml.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      PSAD was available for 1748 men. Median PSAD was 0.095\u2009ng\/ml\/cm\n                      <jats:sup>3<\/jats:sup>\n                      (IQR 0.073\u20130.14). The age\u2010adjusted hazard ratio for lethal prostate cancer in the cohort of men with PSA between 3.0 and 10.0\u00a0ng\/ml was 10.1 (95% CI 2.4\u201342.2) if PSAD was \u22650.15 compared to &lt;0.15.\n                    <\/jats:p>\n                    <jats:p>A model including PSAD, palpation and ultrasound findings could distinguish lethal prostate cancer from non\u2010cases at 30\u2009years of follow\u2010up with an AUC of 0.75.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>For men with PSA between 3 and 10\u00a0ng\/ml, PSAD is a predictor of the long\u2010term risk for lethal prostate cancer. One limitation to this study is the lack of clinical data during follow\u2010up apart from cancer\u2010specific mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/bco2.70250","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T04:56:30Z","timestamp":1783745790000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The performance of prostate\u2010specific antigen density in long\u2010term prostate cancer\u2010mortality risk prediction"],"prefix":"10.1002","volume":"7","author":[{"given":"Sara","family":"Saliba","sequence":"first","affiliation":[{"name":"Department of Clinical Science, Technology and Intervention Karolinska Institute  Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anders","family":"Kjellman","sequence":"additional","affiliation":[{"name":"Department of Clinical Science, Technology and Intervention Karolinska 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