Evidence map›Paper›PMID 31606332›Full record

ArticleEuropean urology2020

Predicting Prostate Cancer Death with Different Pretreatment Risk Stratification Tools: A Head-to-head Comparison in a Nationwide Cohort Study.

Renata Zelic, Hans Garmo, Daniela Zugna, Pär Stattin, Lorenzo Richiardi, Olof Akre, Andreas Pettersson

Erratum issuedOpen access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in European urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 136 citations in OpenAlex.

  1. Pooled it
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  14. Prostate cancer in people with HIV.Current opinion in infectious diseases · 2025
    Review
  15. Germline DNA Damage Repair Variants and Prognosis of Patients with High-Risk or Metastatic Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  16. Comparison betweenAsian journal of urology · 2025
    Article
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  20. Review

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Renata ZelicClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden. Electronic address: renata.zelic@ki.se.
Hans GarmoDivision of Cancer Studies, Translational Oncology & Urology Research (TOUR), King's College London, London, UK; Akademiska Sjukhuset, Regional Cancer Centre, Uppsala, Sweden.
Daniela ZugnaCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Pär StattinDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Lorenzo RichiardiCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Olof AkreDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Urology, Karolinska University Hospital, Stockholm, Sweden.
Andreas PetterssonClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEPiedmont Reference Center for Epidemiology and Cancer Prevention · ITKarolinska University Hospital · SEUppsala University · SEUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous pretreatment risk classification tools are available for prostate cancer. Which tool is best in predicting prostate cancer death is unclear.

objectiveTo systematically compare the prognostic performance of the most commonly used pretreatment risk stratification tools for prostate cancer. DESIGN, SETTING, AND

participantsA nationwide cohort study was conducted, including 154 811 men in Prostate Cancer data Base Sweden (PCBaSe) 4.0 diagnosed with nonmetastatic prostate cancer during 1998-2016 and followed through 2016. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We compared the D'Amico, National Institute for Health and Care Excellence (NICE), European Association of Urology (EAU), Genito-Urinary Radiation Oncologists of Canada (GUROC), American Urological Association (AUA), National Comprehensive Cancer Network (NCCN), and Cambridge Prognostic Groups (CPG) risk group systems; the Cancer of the Prostate Risk Assessment (CAPRA) score; and the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram in predicting prostate cancer death by estimating the concordance index (C-index) and the observed versus predicted cumulative incidences at different follow-up times. RESULTS AND LIMITATIONS: A total of 139 515 men were included in the main analysis, of whom 15 961 died from prostate cancer during follow-up. The C-index at 10 yr of follow-up ranged from 0.73 (95% confidence interval [CI]: 0.72-0.73) to 0.81 (95% CI: 0.80-0.81) across the compared tools. The MSKCC nomogram (C-index: 0.81, 95% CI: 0.80-0.81), CAPRA score (C-index: 0.80, 95% CI: 0.79-0.81), and CPG system (C-index: 0.78, 95% CI: 0.78-0.79) performed the best. The order of performance between the tools remained in analyses stratified by primary treatment and year of diagnosis. The predicted cumulative incidences were close to the observed ones, with some underestimation at 5 yr. It is a limitation that the study was conducted solely in a Swedish setting (ie, case mix).

conclusionsThe MSKCC nomogram, CAPRA score, and CPG risk grouping system performed better in discriminating prostate cancer death than the D'Amico and D'Amico-derived systems (NICE, GUROC, EAU, AUA, and NCCN). Use of these tools may improve clinical decision making. PATIENT SUMMARY: There are numerous pretreatment risk classification tools that can aid treatment decision for prostate cancer. We systematically compared the prognostic performance of the most commonly used tools in a large cohort of Swedish men with prostate cancer. The Memorial Sloan Kettering Cancer Center nomogram, Cancer of the Prostate Risk Assessment score, and Cambridge Prognostic Groups performed best in predicting prostate cancer death. The use of these tools may improve treatment decisions.

Indexed as

Risk AssessmentAgedCohort StudiesHumansMaleMiddle AgedNomogramsPrognosisProstatic NeoplasmsSwedenPretreatment risk stratificationPrognostic modelProstate cancer

Identifiers

PMID31606332
OpenAlexW2980302394

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.