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Sökning: id:"swepub:oai:gup.ub.gu.se/294862" > Comparative perform...

Comparative performance and external validation of the multivariable PREDICTProstatetool for non-metastatic prostate cancer: a study in 69,206 men from Prostate Cancer data Base Sweden (PCBaSe)

Thurtle, D. (författare)
Univ Cambridge, Acad Urol Grp, Norman Bleehan Off, Addenbrookes Hosp, Hills Rd, Cambridge CB2 0QQ, England.
Bratt, Ola, 1963 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för urologi,Institute of Clinical Sciences, Department of Urology,Univ Gothenburg, Sahlgrenska Acad, Inst Clin Sci, Dept Urol, Gothenburg, Sweden.;Sahlgrens Univ Hosp, Reg Vastra Gotaland, Gothenburg, Sweden.
Stattin, Pär (författare)
Uppsala universitet,Urologkirurgi
visa fler...
Pharoah, P. (författare)
Univ Cambridge, Dept Canc Epidemiol, Cambridge, England.
Gnanapragasam, V. (författare)
Univ Cambridge, Acad Urol Grp, Cambridge, England.
visa färre...
Univ Cambridge, Acad Urol Grp, Norman Bleehan Off, Addenbrookes Hosp, Hills Rd, Cambridge CB2 0QQ, England Institutionen för kliniska vetenskaper, Avdelningen för urologi (creator_code:org_t)
2020-06-16
2020
Engelska.
Ingår i: Bmc Medicine. - : Springer Science and Business Media LLC. - 1741-7015. ; 18:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background PREDICTProstateis an endorsed prognostic model that provides individualised long-term prostate cancer-specific and overall survival estimates. The model, derived from UK data, estimates potential treatment benefit on overall survival. In this study, we externally validated the model in a large independent dataset and compared performance to existing models and within treatment groups. Methods Men with non-metastatic prostate cancer and prostate-specific antigen (PSA) < 100 ng/ml diagnosed between 2000 and 2010 in the nationwide population-based Prostate Cancer data Base Sweden (PCBaSe) were included. Data on age, PSA, clinical stage, grade group, biopsy involvement, primary treatment and comorbidity were retrieved. Sixty-nine thousand two hundred six men were included with 13.9 years of median follow-up. Fifteen-year survival estimates were calculated using PREDICTProstatefor prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM). Discrimination was assessed using Harrell's concordance (c)-index in R. Calibration was evaluated using cumulative available follow-up in Stata (TX, USA). Results Overall discrimination of PREDICTProstatewas good with c-indices of 0.85 (95% CI 0.85-0.86) for PCSM and 0.79 (95% CI 0.79-0.80) for ACM. Overall calibration of the model was excellent with 25,925 deaths predicted and 25,849 deaths observed. Within the conservative management and radical treatment groups, c-indices for 15-year PCSM were 0.81 and 0.78, respectively. Calibration also remained good within treatment groups. The discrimination of PREDICT Prostate significantly outperformed the EAU, NCCN and CAPRA scores for both PCSM and ACM within this cohort overall. A key limitation is the use of retrospective cohort data. Conclusions This large external validation demonstrates that PREDICTProstateis a robust and generalisable model to aid clinical decision-making.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Urology and Nephrology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Prostate cancer
Prognosis
Prostate cancer-specific mortality
PCSM
Survival
Overall mortality
Competing risks
Decision aid
risk-assessment
register
score
mortality
General & Internal Medicine
Prostate cancer

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