Evidence map›Paper›PMID 29472629›Full record

ArticleProstate cancer and prostatic diseases2018

Indication to pelvic lymph nodes dissection for prostate cancer: the role of multiparametric magnetic resonance imaging when the risk of lymph nodes invasion according to Briganti updated nomogram is <5.

Francesco Porpiglia, Matteo Manfredi, Fabrizio Mele, Riccardo Bertolo, Enrico Bollito, Dario Gned, Agostino De Pascale, Filippo Russo, Roberto Passera, Cristian Fiori and 1 more

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In one paragraph

Article in Prostate cancer and prostatic diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Nomograms in Urologic Oncology: Lights and Shadows.Journal of clinical medicine · 2021
    Review
  5. Review
  6. Review
  7. Review
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

11 authors at 3 institutions in 1 country.

Francesco PorpigliaDivision of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy. porpiglia@libero.it.
Matteo ManfrediDivision of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Fabrizio MeleDivision of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Riccardo BertoloDivision of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.ORCID http://orcid.org/0000-0003-0260-4601
Enrico BollitoDivision of Pathology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Dario GnedDivision of Radiology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Agostino De PascaleDivision of Radiology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Filippo RussoDepartment of Radiology, Candiolo Cancer Institute - FPO, IRCCS, Candiolo, TO, Italy.
Roberto PasseraDivision of Nuclear Medicine, University of Turin, San Giovanni Battista Hospital, Torino, TO, Italy.
Cristian FioriDivision of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Stefano De LucaDivision of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, TO, Italy.
Ospedale San Luigi Gonzaga · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITCandiolo Cancer Institute · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Briganti updated nomogram (BN) is the most popular predictive model aiming to predict the presence of lymph node invasion (LNI) in patients with prostate cancer (PCa), but it lacks information obtained by preoperative imaging. The primary aim of the study was to evaluate the role of multiparametric prostate magnetic resonance imaging (mp-MRI) in the indication to perform pelvic lymph nodes dissection (PLND) or not in patients with risk of LNI according to BN below 5%.

methodsSince March 2012 and September 2016, 310 patients who underwent a preoperative mp-MRI for staging purpose and subsequent robot-assisted extended PLND (RAEPLND) were retrospectively evaluated. Mp-MRIs were prospectively analyzed by two experienced radiologists. The imaging parameters analyzed were the presence of extracapsular extension (ECE), seminal vesicles invasion (SVI) and predominant Gleason pattern 4 (pG4). All patients underwent RAEPLND by two experienced surgeons with a standardized technique. A dedicated uropathologist performed all pathological analysis. Univariate analysis and multivariate logistic regression analysis were used in order to identify the predictors of LNI in patients with PCa.

resultsIn the overall population, 57 (18.4%) patients had histologically proven pN1 disease. 48/250 patients (19.2%) with a risk of LNI ≥5% as calculated by the BN were staged pN1 at final histopathological analysis. 9/60 patients (15.0%) with a risk of LNI <5% as calculated by BN, who underwent RAEPLND anyway according to the findings at mp-MRI, were staged pN1 at final histopathological analysis. At multivariate logistic regression analysis, all the three mp-MRI parameters were significant independent predictors of LNI after RAEPLND.

conclusionsThe role of mp-MRI seemed to be crucial in patients with a risk of LNI <5% as calculated by the BN. The presence of ECE, SVI, or pG4 at mp-MRI was found to be an independent predictor of LNI by itself.

Indexed as

AgedHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeoplasm InvasivenessNomogramsPelvic BonesProstatectomyProstatic NeoplasmsRiskRobotic Surgical Procedures

Identifiers

PMID29472629
OpenAlexW2791987009

What OpenQuestion holds

Textmetadata
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.