Evidence map›Paper›PMID 31201051›Full record

ArticleClinical genitourinary cancer2019

Can We Improve the Preoperative Prediction of Prostate Cancer Recurrence With Multiparametric MRI?

Paolo Capogrosso, Emily A Vertosick, Nicole E Benfante, Daniel D Sjoberg, Andrew J Vickers, James A Eastham

Open access · greenAbstract read
In one paragraph

Article in Clinical genitourinary cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 1 institution in 2 countries.

Paolo CapogrossoMemorial Sloan Kettering Cancer Center, New York, NY; Division of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy. Electronic address: paolo.capogrosso@gmail.com.
Emily A VertosickMemorial Sloan Kettering Cancer Center, New York, NY.
Nicole E BenfanteMemorial Sloan Kettering Cancer Center, New York, NY.
Daniel D SjobergMemorial Sloan Kettering Cancer Center, New York, NY.
Andrew J VickersMemorial Sloan Kettering Cancer Center, New York, NY.
James A EasthamMemorial Sloan Kettering Cancer Center, New York, NY.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JAMES A EASTHAM · 2001 to 2026
$63.0M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629
6 · The paper itself

Abstract

introductionThe use of multiparametric magnetic resonance imaging (mpMRI) to assess prostate cancer (PCa) has increased over the past decade. We aimed to assess if preoperative mpMRI lesion score, a variable routinely available for men undergoing pre-biopsy MRI, improves the performance of commonly used preoperative predictive models for PCa recurrence. PATIENTS AND

methodsWe analyzed data from 372 patients with PCa treated with radical prostatectomy in 2012 to 2017 and assessed with pre-biopsy mpMRI within 6 months prior to surgery. Suspicious areas for cancer were scored on a standardized 5-point scale. Cox regression was used to assess the association between mpMRI score and the risk of postoperative biochemical recurrence. Two different models were tested accounting for factors included in the Kattan nomogram and in the D'Amico risk-classification.

resultsOverall, 53% and 30% of patients were found with a lesion scored 4 or 5 at pre-biopsy mpMRI, respectively. Risk varied widely by mpMRI (29% 2-year risk of biochemical recurrence for a score of 5 vs. 5% for a score of 1-2), and mpMRI score was associated with large hazard ratios after adjusting for stage, grade, and prostate-specific antigen: 1.66, 1.96, and 2.71 for scores 3, 4, and 5, respectively. However, 95% confidence intervals were very wide (0.19-14.20, 0.26-14.65, and 0.36-20.55, respectively) and included 1.

conclusionsOur data did not show that preoperative models, commonly used to assess PCa risk, were improved after including the pre-biopsy mpMRI score. However, the value of pre-biopsy mpMRI to improve preoperative risk models should be investigated in larger data sets.

Indexed as

AgedHumansMaleMiddle AgedModels, TheoreticalMultiparametric Magnetic Resonance ImagingNeoplasm Recurrence, LocalPreoperative PeriodProstatectomyProstate-Specific AntigenProstatic NeoplasmsRegression AnalysisSensitivity and SpecificityProstate-Specific AntigenMRIPredictive toolProstate cancerPSARecurrence

Identifiers

PMID31201051
PMCPMC7524609
OpenAlexW2944953058

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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.