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Sökning: L773:2168 1813 > (2015-2019) > Prediction of clini...

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FältnamnIndikatorerMetadata
00006637naa a2200769 4500
001oai:gup.ub.gu.se/239654
003SwePub
008240528s2016 | |||||||||||000 ||eng|
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009oai:DiVA.org:uu-300104
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009oai:prod.swepub.kib.ki.se:133879584
0247 a https://gup.ub.gu.se/publication/2396542 URI
0247 a https://doi.org/10.1080/21681805.2016.11832262 DOI
0247 a https://lup.lub.lu.se/record/eb016806-2ec2-4f0f-a71e-5bbd42b83b3d2 URI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3001042 URI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1242772 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1338795842 URI
040 a (SwePub)gud (SwePub)lud (SwePub)uud (SwePub)umud (SwePub)ki
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Bjartell, Andersu Lund University,Lunds universitet,Urologisk cancerforskning, Malmö,Forskargrupper vid Lunds universitet,Urological cancer, Malmö,Lund University Research Groups,Skåne University Hospital,Skane Univ Hosp, Dept Urol, SE-20502 Malmo, Sweden.;Lund Univ, Div Urol Canc, Dept Translat Med, S-22100 Lund, Sweden.4 aut0 (Swepub:lu)kir-abj
2451 0a Prediction of clinical progression after radical prostatectomy in a nationwide population-based cohort
264 c 2016-05-18
264 1b Medical Journals Sweden AB,c 2016
520 a Objective: The aim of this study was to create a model for predicting progression-free survival after radical prostatectomy for localized prostate cancer. Material and methods: The risk of biochemical recurrence (BCR) was modelled in a cohort of 3452 men aged 70 years or younger who were primarily treated with radical prostatectomy after being diagnosed between 2003 and 2006 with localized prostate cancer [clinical stage T1c-T2, Gleason score 5-10, N0/NX, M0/MX, prostate-specific antigen (PSA)<20 ng/ml]. The cohort was split into two: one cohort for model development (n = 3452) and one for validation (n = 1762). BCR was defined as two increasing PSA values of at least 0.2 ng/ml, initiation of secondary therapy, distant metastases or death from prostate cancer. Multivariable Cox proportional hazard regression was applied, predictive performance was assessed using the bootstrap resampling technique to calculate the c index, and calibration of the model was evaluated by comparing predicted and observed Kaplan-Meier 1 year BCR. Results: The overall 5 year progression-free survival was 83% after a median follow-up time of 6.8 years in the development cohort and 7.3 years in the validation cohort. The final model included T stage, PSA level, primary and secondary Gleason grade, and number of positive and negative biopsies. The c index for discrimination between high and low risk of recurrence was 0.68. The probability of progression-free survival ranged from 22% to 97% over the range of risk scores in the study population. Conclusions: This model is based on nationwide population-based data and can be used with a fair predictive accuracy to guide decisions on clinical follow-up after prostatectomy. An online calculator for convenient clinical use of the model is available at www.npcr.se/nomogram
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Urologi och njurmedicin0 (SwePub)302142 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Urology and Nephrology0 (SwePub)302142 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kirurgi0 (SwePub)302122 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Surgery0 (SwePub)302122 hsv//eng
653 a Biochemical recurrence
653 a nomogram
653 a predictive models
653 a prostate cancer
653 a radical prostatectomy
653 a university-of-california
653 a risk-assessment score
653 a biochemical recurrence
653 a preoperative nomogram
653 a external validation
653 a 10-year probability
653 a disease
653 a recurrence
653 a cancer recurrence
653 a san-francisco
653 a sweden
653 a Urology & Nephrology
653 a Biochemical recurrence
7001 a Bottai, M.u Karolinska Institutet,Karolinska Inst, Inst Environm Med, Unit Biostat, Stockholm, Sweden.4 aut
7001 a Persson, J.u Sahlgrenska University Hospital,Sahlgrens Univ Hosp, Dept Cardiothorac Surg, Gothenburg, Sweden.4 aut
7001 a Bratt, Olau Lund University,Lunds universitet,Urologisk cancerforskning, Malmö,Forskargrupper vid Lunds universitet,Urological cancer, Malmö,Lund University Research Groups,University of Cambridge,Lund Univ, Div Urol Canc, Dept Translat Med, S-22100 Lund, Sweden.;Cambridge Univ Hosp, Dept Urol, Cambridge, England.4 aut0 (Swepub:lu)urok-obr
7001 a Damber, Jan-Erik,d 1949u University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för urologi,Institute of Clinical Sciences, Department of Urology,Univ Gothenburg, Inst Clin Sci Sahlgrenska Acad, Dept Urol, Gothenburg, Sweden.4 aut0 (Swepub:gu)xdamja
7001 a Stattin, Päru Umeå universitet,Uppsala universitet,Umeå University,Urologkirurgi,Umea Univ, Dept Surg & Perioperat Sci Urol & Androl, Umea, Sweden.,Urologi och andrologi,Department of Surgical Sciences, Uppsala University, Uppsala, Sweden4 aut0 (Swepub:umu)past0003
7001 a Akre, O.u Karolinska Institutet4 aut
7102 a Urologisk cancerforskning, Malmöb Forskargrupper vid Lunds universitet4 org
7730 t Scandinavian Journal of Urologyd : Medical Journals Sweden ABg 50:4, s. 255-259q 50:4<255-259x 2168-1805x 2168-1813
8564 u http://dx.doi.org/10.1080/21681805.2016.1183226y FULLTEXT
8564 8u https://gup.ub.gu.se/publication/239654
8564 8u https://doi.org/10.1080/21681805.2016.1183226
8564 8u https://lup.lub.lu.se/record/eb016806-2ec2-4f0f-a71e-5bbd42b83b3d
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300104
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-124277
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:133879584

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