Diagnostic and prognostic factors in patients with prostate cancer: a systematic review protocol

被引:3
|
作者
Beyer, Katharina [1 ]
Moris, Lisa [2 ]
Lardas, Michael [3 ]
Haire, Anna [1 ]
Barletta, Francesco [4 ]
Scuderi, Simone [4 ]
Vradi, Eleni [5 ]
Gandaglia, Giorgio [4 ]
Omar, Muhammad Imran [6 ]
MacLennan, Steven [6 ]
Zong, Jihong [7 ]
Farahmand, Bahman [8 ]
Maclennan, Sara J. [6 ]
Devecseri, Zsuzsanna [9 ]
Asiimwe, Alex [5 ]
Collette, Laurence [10 ]
Bjartell, Anders [11 ]
Ndow, James [12 ]
Briganti, Alberto [4 ,13 ,14 ]
Van Hemelrijck, Mieke [1 ]
机构
[1] Kings Coll London, Translat Oncol & Urol Res Tour, London, England
[2] Katholieke Univ Leuven, Dept Urol, Univ Hosp Leuven, Leuven, Flanders, Belgium
[3] Metropolitan Hosp Athens, Dept Urol, Athens, Attike, Greece
[4] IRCCS Osped San Raffaele, Div Oncol, Unit Urol, URI, Milan, Lombardia, Italy
[5] Bayer Pharma AG, Med Affairs & PV, Berlin, Germany
[6] Univ Aberdeen, Acad Urol Unit, Hlth Serv Res Unit, Aberdeen, Scotland
[7] Bayer US, Epidemiol, Whippany, NJ USA
[8] Bayer AG, Global Epidemiol, Stockholm, Sweden
[9] Sanofi SA, Paris, Ile De France, France
[10] EORTC, Brussels, Belgium
[11] Skane Univ Hosp, Malmo, Sweden
[12] European Assoc Urol, Guidelines Off, Arnhem, Netherlands
[13] Univ Vita Salute San Raffaele, Urol Res Inst, RCCS San Raffaele Sci Inst, Dept Urol, Milan, Italy
[14] Univ Vita Salute San Raffaele, Urol Res Inst, RCCS San Raffaele Sci Inst, Div Expt Oncol, Milan, Italy
来源
BMJ OPEN | 2021年 / 11卷 / 02期
基金
欧盟地平线“2020”;
关键词
prostate disease; oncology; urological tumours; BIAS; RISK; TOOL; APPLICABILITY; PROBAST;
D O I
10.1136/bmjopen-2020-040531
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction As part of the PIONEER (Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe) Consortium, we will explore which diagnostic and prognostic factors (DPFs) are currently being researched to previously defined clinical and patient-reported outcomes for prostate cancer (PCa). Methods and analysis This research project will follow the following four steps: (1) a broad systematic literature review of DPFs for all stages of PCa, covering evidence from 2014 onwards; (2) discussion of systematic review findings by a multidisciplinary expert panel; (3) risk of bias assessment and applicability with Prediction model Risk Of Bias Assessment Tool criteria, Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and the Quality In Prognosis Studies tool (QUIPS) and (4) additional quantitative assessments if required. Ethics and dissemination We aim to develop an online tool to present the DPFs identified in this research and make them available across all stakeholders. There are no ethical implications.
引用
收藏
页数:5
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