Evidence map›Paper›PMID 26444548›Full record

ArticlePloS one2015

Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance Imaging.

Ottavio de Cobelli, Daniela Terracciano, Elena Tagliabue, Sara Raimondi, Danilo Bottero, Antonio Cioffi, Barbara Jereczek-Fossa, Giuseppe Petralia, Giovanni Cordima, Gilberto Laurino Almeida and 6 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Prostate Cancer Radiogenomics-From Imaging to Molecular Characterization.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. The Role of Tumor Oxygenation Tested by Magnetic Resonance Imaging (MRI) in Prostate Cancer Grading.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  12. Prostate Imaging Reporting and Data System in prostate cancer staging and planning for radical prostatectomy.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2019
    Article
  13. MRI in active surveillance: a critical review.Prostate cancer and prostatic diseases · 2019
    Review
  14. Decision Support Systems in Oncology.JCO clinical cancer informatics · 2019
    Review
  15. Lymph node imaging in testicular cancer.Translational andrology and urology · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

16 authors.

Ottavio de CobelliDivision of Urology, European Institute of Oncology, Milan, Italy.
Daniela TerraccianoDepartment of Translational Medical Sciences, University "Federico II", Naples, Italy.
Elena TagliabueDivision of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy.
Sara RaimondiDivision of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy.
Danilo BotteroDivision of Urology, European Institute of Oncology, Milan, Italy.
Antonio CioffiDivision of Urology, European Institute of Oncology, Milan, Italy.
Barbara Jereczek-FossaDepartment of Radiotherapy, European Institute of Oncology, Milan, Italy.
Giuseppe PetraliaDepartment of Radiology, European Institute of Oncology, Milan, Italy.
Giovanni CordimaDivision of Urology, European Institute of Oncology, Milan, Italy.
Gilberto Laurino AlmeidaUniversity of Vale do Itajaí, Catarinense Institute of Urology, Division of Laparoscopy, Itajaí, Brazil.
Giuseppe LucarelliDepartment of Emergency and Organ Transplantation, Urology and Kidney Transplantation Unit, University of Bari, Bari, Italy.
Carlo BuonerbaDivision of Medical Oncology, CROB-IRCCS, Rionero in Vulture, Italy.
Deliu Victor MateiDivision of Urology, European Institute of Oncology, Milan, Italy.
Giuseppe RenneDivision of Pathology, European Institute of Oncology, Milan, Italy.
Giuseppe Di LorenzoMedical Oncology Unit, Department of Clinical Medicine, Federico II University, Naples, Italy.
Matteo FerroDivision of Urology, European Institute of Oncology, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to investigate the prognostic performance of multiparametric magnetic resonance imaging (mpMRI) and Prostate Imaging Reporting and Data System (PIRADS) score in predicting pathologic features in a cohort of patients eligible for active surveillance who underwent radical prostatectomy.

methodsA total of 223 patients who fulfilled the criteria for "Prostate Cancer Research International: Active Surveillance", were included. Mp-1.5 Tesla MRI examination staging with endorectal coil was performed at least 6-8 weeks after TRUS-guided biopsy. In all patients, the likelihood of the presence of cancer was assigned using PIRADS score between 1 and 5. Outcomes of interest were: Gleason score upgrading, extra capsular extension (ECE), unfavorable prognosis (occurrence of both upgrading and ECE), large tumor volume (≥ 0.5 ml), and seminal vesicle invasion (SVI). Receiver Operating Characteristic (ROC) curves and Decision Curve Analyses (DCA) were performed for models with and without inclusion of PIRADS score.

resultsMultivariate analysis demonstrated the association of PIRADS score with upgrading (P < 0.0001), ECE (P < 0.0001), unfavorable prognosis (P < 0.0001), and large tumor volume (P = 0.002). ROC curves and DCA showed that models including PIRADS score resulted in greater net benefit for almost all the outcomes of interest, with the only exception of SVI.

conclusionsmpMRI and PIRADS scoring are feasible tools in clinical setting and could be used as decision-support systems for a more accurate selection of patients eligible for AS.

Indexed as

BiopsyDecision Support TechniquesHumansMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisNeoplasm GradingNeoplasm StagingPrognosisProstateProstatectomyProstatic NeoplasmsRetrospective StudiesROC CurveSeminal Vesicles

Identifiers

PMID26444548
PMCPMC4596627

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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.