Evidence map›Paper›PMID 35813259›Full record

ArticleEuropean urology open science2022

Risk Estimation of Metastatic Recurrence After Prostatectomy: A Model Using Preoperative Magnetic Resonance Imaging and Targeted Biopsy.

Thomas Bommelaere, Arnauld Villers, Philippe Puech, Guillaume Ploussard, Julien Labreuche, Elodie Drumez, Xavier Leroy, Jonathan Olivier

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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

8 authors at 3 institutions in 1 country.

Thomas BommelaereDepartment of Urology, University of Lille, Lille, France.
Arnauld VillersDepartment of Urology, University of Lille, Lille, France.
Philippe PuechDepartment of Radiology, University of Lille, 59000 Lille, France.
Guillaume PloussardDepartment of Urology, La Croix du Sud Hospital, Quint Fonsegrives, France.
Julien LabreucheDepartment of Biostatistics, CHU Lille, Lille, France.
Elodie DrumezDepartment of Biostatistics, CHU Lille, Lille, France.
Xavier LeroyDepartment of Histopathology, University of Lille, Lille, France.
Jonathan OlivierDepartment of Urology, University of Lille, Lille, France.
Université de Lille · FRCentre National de la Recherche Scientifique · FRLyon Genou Centre Albert Trillat · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The risk of prostate cancer metastatic is correlated with its volume and grade. These parameters are now best estimated preoperatively with magnetic resonance imaging (MRI) and MRI-guided biopsy. Objective: To estimate the risk of metastatic recurrence after radical prostatectomy (RP) in our model versus conventional clinical European Association of Urology (EAU) classification. The secondary objective is biochemical recurrence (BCR). Design setting and participants: A retrospective study was conducted of a cohort of 713 patients having undergone MRI-guided biopsies and RP between 2009 and 2018. The preoperative variables included prostate-specific antigen, cT stage, tumor volume (TV) based on the lesion's largest diameter at MRI, percentage of Gleason pattern 4/5 (%GP4/5) at MRI-guided biopsy, and volume of GP4/5 (VolGP4/5) calculated as TV × %GP4/5. Outcome measurements and statistical analysis: The variables' ability to predict recurrence was determined in univariable and multivariable Fine-and-Gray models, according to the Akaike information criterion (AIC) and Harrell's C-index. Results and limitations: Overall, 176 (25%), 430 (60%), and 107 (15%) patients had low, intermediate, and high-risk disease, respectively, according to the EAU classification. During a median follow-up period of 57 mo, metastatic recurrence was observed in 48 patients with a 5-yr probability of 5.6% (95% confidence interval [CI] 3.9-7.7). VolGP4/5 (categories: <0.5, 0.5-1.0, 1.01-3.2, and >3.2 ml) was the parameter with the lowest AIC and the highest C-index for metastatic recurrence of 0.82 (95% CI 0.76-0.88), and for BCR it was 0.73 (95% CI 0.68-0.78). In a multivariable model that included %GP4/5 and TV, C-index values were 0.86 (95% CI 0.79-0.91) for metastatic recurrence and 0.77 (0.72-0.82) for BCR. The same results for EAU classification were 0.74 (0.67-0.80) and 0.67 (0.63-0.72), respectively. Limitations are related to short follow-up and expertise of radiologists and urologists. Conclusions: We developed a preoperative risk tool integrating the VolGP4/5 based on MRI and MRI-guided biopsies to predict metastatic recurrence after RP. Our model showed higher accuracy than conventional clinical risk models. These findings might enable physicians to provide more personalized patient care. Patient summary: Aggressiveness of prostate cancer evaluated before treatment by incorporating magnetic resonance imaging (MRI) and MRI-guided biopsy results gives a better estimate of the risk of metastatic recurrence than previous parameters not based on MRI.

Indexed as

Gleason pattern 4/5Prostate cancerRecurrence riskTumor volume

Identifiers

PMID35813259
PMCPMC9257652
OpenAlexW4280619157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.