Evidence map›Paper›PMID 29623528›Full record

ArticlePathology oncology research : POR2019

A Multi-Institutional Validation of Gleason Score Derived from Tissue Microarray Cores.

Sami-Ramzi Leyh-Bannurah, Dominique Trudel, Mathieu Latour, Emanuele Zaffuto, Andree-Anne Grosset, Christine Tam, Veronique Ouellet, Markus Graefen, Lars Budäus, Armen G Aprikian and 6 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

16 authors.

Sami-Ramzi Leyh-BannurahCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Dominique TrudelDepartment of Pathology and Cellular Biology, Université de Montréal, Montreal, Canada.
Mathieu LatourDepartment of Pathology and Cellular Biology, Université de Montréal, Montreal, Canada.
Emanuele ZaffutoCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Andree-Anne GrossetInstitut du Cancer de Montreal and Centre de recherche du centre hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Christine TamInstitut du Cancer de Montreal and Centre de recherche du centre hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Veronique OuelletInstitut du Cancer de Montreal and Centre de recherche du centre hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Markus GraefenMartini-Clinic, Prostate Cancer Center Hamburg-Eppendorf, Hamburg, Germany.
Lars BudäusMartini-Clinic, Prostate Cancer Center Hamburg-Eppendorf, Hamburg, Germany.
Armen G AprikianResearch Institute of McGill University Health Center and Department of Surgery (Urology), McGill University, Montreal, QC, Canada.
Louis LacombeCHU de Québec, Quebec City, Quebec, Canada.
Neil E FleshnerDivision of Urology, Department of Surgery, University Health Network, University of Toronto, Toronto, ON, Canada.
Martin E GleaveVancouver Prostate Centre & Department of Urologic Science, University of British Columbia, Vancouver, BC, Canada.
Anne-Marie Mes-MassonDepartment of Medecine, Université de Montréal, Montreal, Canada.
Fred SaadDepartment of Surgery, Université de Montréal, Montreal, Canada.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To test the agreement between high-grade PCa at RP and TMA, and the ability of TMA to predict BCR. Validation of concordance between tissue microarray (TMA) and radical prostatectomy (RP) high-grade prostate cancer (PCa) is crucial because latter determines the treated natural history of PCa. We hypothesized that TMA Gleason score is in agreement with RP pathology and capable of accurately predicting biochemical recurrence (BCR). Data were provided from a multi-institutional Canadian sample of 1333 TMA and RP specimens with complete clinicopathological data. First, rate of agreement between TMA and high-grade Gleason at RP or biopsy and RP was tested. Second, ability of RP, TMA and biopsy to predict BCR was compared. Multivariable (MVA) Cox regression models were fitted and BCR rates were illustrated with Kaplan-Meier plots. Agreement between RP and TMA and between RP and biopsy was 72.6% (95% CI:69.7-75.5) and 60.4% (95% CI:57.2-63.6), respectively. In MVA predicting BCR, the accuracy for RP, TMA and biopsy was 0.73, 0.72 and 0.68, respectively. TMA added discriminatory ability among exclusively low-grade Gleason RP patients (p = 0.02), but did not improve BCR discrimination in exclusive high-grade PCa RP patients (p = 0.8). TMA Gleason grade accurately reflects presence of high-grade Gleason in RP specimen, accurately predicts BCR rates after RP and improves prediction of BCR in low-grade Gleason patients at RP.

Indexed as

AgedBiopsyCanadaHumansMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalProportional Hazards ModelsProstateProstatectomyProstate-Specific AntigenProstatic NeoplasmsTissue Array AnalysisProstate-Specific AntigenBiochemical recurrenceGleason grade agreementProstate cancerRadical prostatectomyValidation

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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.