Evidence map›Paper›PMID 31838560›Full record

ArticleWorld journal of urology2020

Decreased accuracy of the prostate cancer EAU risk group classification in the era of imaging-guided diagnostic pathway: proposal for a new classification based on MRI-targeted biopsies and early oncologic outcomes after surgery.

Guillaume Ploussard, Cécile Manceau, Jean-Baptiste Beauval, Marine Lesourd, Christophe Almeras, Jean-Romain Gautier, Guillaume Loison, Ambroise Salin, Michel Soulié, Christophe Tollon and 2 more

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Article in World journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

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  14. All change in the prostate cancer diagnostic pathway.Nature reviews. Clinical oncology · 2020
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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

12 authors at 3 institutions in 2 countries.

Guillaume PloussardDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France. g.ploussard@gmail.com.ORCID http://orcid.org/0000-0002-6004-2152
Cécile ManceauDepartment of Urology, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France.
Jean-Baptiste BeauvalDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France.
Marine LesourdDepartment of Urology, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France.
Christophe AlmerasDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France.
Jean-Romain GautierDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France.
Guillaume LoisonDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France.
Ambroise SalinDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France.
Michel SouliéDepartment of Urology, CHU Toulouse, Toulouse, France.
Christophe TollonDepartment of Urology, La Croix du Sud Hospital, IUCT-O, 52, chemin de Ribaute, 31130, Toulouse, Quint Fonsegrives, France.
Bernard MalavaudDepartment of Urology, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France.
Mathieu RoumiguiéDepartment of Urology, Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France.
Lyon Genou Centre Albert Trillat · FRCentre Hospitalier Universitaire de Toulouse · FRASTER · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the performance of EAU risk classification in PCa patients according to the biopsy pathway (standard versus MRI guided) and to develop a new, more accurate, targeted biopsy (TB)-based classification. MATERIALS AND

methodsWe included 1345 patients consecutively operated by radical prostatectomy (RP) since 2014, when MRI and TB were introduced in the diagnostic pathway. Patients underwent systematic biopsy (SB) only (n = 819) or SB and TB (n = 526) prior to RP during the same time period. Pathological and biochemical outcomes were compared between PCa men undergoing SB (SB cohort) and a combination of TB and SB (TB cohort). Kaplan-Meier and Cox regression models were used to assess biochemical recurrence-free survival (RFS).

resultsBoth cohorts were comparable regarding final pathology and RFS (p = 0.538). The EAU risk classification accurately predicted outcomes in SB cohort, but did not significantly separate low from intermediate risk in TB cohort (p = 0.791). In TB cohort, the new proposed three-group risk classification significantly improved the recurrence risk prediction compared with the EAU risk classification: HR 4 (versus HR 1.2, p = 0.009) for intermediate, and HR 15 (versus HR 6.5, p < 0.001) in high-risk groups, respectively. A fourth group defining very high-risk cases (≥ T2c clinical stage or grade group 5) was also proposed.

conclusionsThe new classification integrating TB findings we propose meaningfully improves the recurrence prediction after surgery in patients undergoing a TB-based diagnostic pathway, compared with standard EAU risk classification which is still relevant for patients undergoing only SB. External validation is needed.

Indexed as

AgedBiopsyCohort StudiesHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedProstateProstatectomyProstatic NeoplasmsReproducibility of ResultsRisk AssessmentTreatment OutcomeBiopsyFusion biopsiesMRIProstate cancerRadical prostatectomyRiskSystematic biopsiesTargeted biopsies

Identifiers

PMID31838560
OpenAlexW2994808712

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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.