Evidence map›Paper›PMID 21092177›Full record

Trial reportBMC cancer2010

A panel of kallikrein markers can predict outcome of prostate biopsy following clinical work-up: an independent validation study from the European Randomized Study of Prostate Cancer screening, France.

Amine Benchikh, Caroline Savage, Angel Cronin, Gilles Salama, Arnauld Villers, Hans Lilja, Andrew Vickers

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Evaluation of the 4Kscore Test in Relation to Subsequent Risk of Aggressive Prostate Cancer in the European Prospective Investigation into Cancer and Nutrition.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  15. Genomic biomarkers in prostate cancer.Translational andrology and urology · 2018
    Review
  16. Clinical and Novel Biomarkers in the Management of Prostate Cancer.Current treatment options in oncology · 2018
    Review
  17. Recommandations de l'Association des urologues du Canada sur le dépistage et le diagnostic précoce du cancer de la prostate.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2017
    Article
  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Amine BenchikhHôpital Bichat-Claude Bernard, Paris, France.
Caroline Savage
Angel Cronin
Gilles Salama
Arnauld Villers
Hans Lilja
Andrew Vickers

Funding

SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JAMES A EASTHAM · 2001 to 2026
$63.0M
Long-term prediction of prostate cancer death from kallikreins measured in bloodR33CA127768 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LILJA, HANS GÖSTA · 2010 to 2011
$692k
NCI NIH HHS 4R33CA127768-02NCI NIH HHS P50-CA92629
6 · The paper itself

Abstract

backgroundWe have previously shown that a panel of kallikrein markers--total prostate-specific antigen (PSA), free PSA, intact PSA and human kallikrein-related peptidase 2 (hK2)--can predict the outcome of prostate biopsy in men with elevated PSA. Here we investigate the properties of our panel in men subject to clinical work-up before biopsy.

methodsWe applied a previously published predictive model based on the kallikrein panel to 262 men undergoing prostate biopsy following an elevated PSA (≥ 3 ng/ml) and further clinical work-up during the European Randomized Study of Prostate Cancer screening, France. The predictive accuracy of the model was compared to a "base" model of PSA, age and digital rectal exam (DRE).

results83 (32%) men had prostate cancer on biopsy of whom 45 (54%) had high grade disease (Gleason score 7 or higher). Our model had significantly higher accuracy than the base model in predicting cancer (area-under-the-curve [AUC] improved from 0.63 to 0.78) or high-grade cancer (AUC increased from 0.77 to 0.87). Using a decision rule to biopsy those with a 20% or higher risk of cancer from the model would reduce the number of biopsies by nearly half. For every 1000 men with elevated PSA and clinical indication for biopsy, the model would recommend against biopsy in 61 men with cancer, the majority (≈80%) of whom would have low stage and low grade disease at diagnosis.

conclusionsIn this independent validation study, the model was highly predictive of prostate cancer in men for whom the decision to biopsy is based on both elevated PSA and clinical work-up. Use of this model would reduce a large number of biopsies while missing few cancers.

Indexed as

AgedArea Under CurveBiopsyEarly Detection of CancerEuropeFranceHumansKallikreinsMaleMiddle AgedModels, StatisticalProstate-Specific AntigenProstatic NeoplasmsReproducibility of ResultsTreatment OutcomeKallikreinsProstate-Specific Antigen

Identifiers

PMID21092177
PMCPMC2996396

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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.