Evidence map›Paper›PMID 37337076›Full record

ArticleAging clinical and experimental research2023

Advanced age is an independent prognostic factor of disease progression in high-risk prostate cancer: results in 180 patients treated with robot-assisted radical prostatectomy and extended pelvic lymph node dissection in a tertiary referral center.

Antonio Benito Porcaro, Alberto Bianchi, Sebastian Gallina, Andrea Panunzio, Emanuele Serafin, Giovanni Mazzucato, Rossella Orlando, Francesca Montanaro, Giulia Marafioti Patuzzo, Alberto Baielli and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2023. 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
1.3field-weighted citation impact, top 18% 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, 5 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

22 authors at 3 institutions in 1 country.

Antonio Benito PorcaroDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy. drporcaro@yahoo.com.
Alberto BianchiDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Sebastian GallinaDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Andrea PanunzioDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Emanuele SerafinDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Giovanni MazzucatoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Rossella OrlandoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Francesca MontanaroDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Giulia Marafioti PatuzzoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alberto BaielliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Francesco ArtoniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Francesco DitonnoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Stefano VidiriDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Damiano D'AiettiDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Filippo MiglioriniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Riccardo RizzettoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alessandro VecciaDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alessandra GozzoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Matteo BrunelliDepartment of Pathology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Alessandro TafuriDepartment of Urology, Vito Fazzi Hospital, 73110, Lecce, Italy.
Maria Angela CerrutoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alessandro AntonelliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, 37126, Verona, Italy.
University of Verona · ITAzienda Ospedaliera Universitaria Integrata Verona · ITOspedale Vito Fazzi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess more clinical and pathological factors associated with prostate cancer (PCa) progression in high-risk PCa patients treated primarily with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND) in a tertiary referral center. MATERIALS AND

methodsIn a period ranging from January 2013 to October 2020, RARP and ePLND were performed on 180 high-risk patients at Azienda Ospedaliera Universitaria Integrata of Verona (Italy). PCa progression was defined as biochemical recurrence/persistence and/or local recurrence and/or distant metastases. Statistical methods evaluated study endpoints, including Cox's proportional hazards, Kaplan-Meyer survival curves, and binomial logistic regression models.

resultsThe median age of included patients was 66.5 [62-71] years. Disease progression occurred in 55 patients (30.6%), who were more likely to have advanced age, palpable tumors, and unfavorable pathologic features, including high tumor grade, stage, and pelvic lymph node invasion (PLNI). On multivariate analysis, PCa progression was predicted by advanced age (≥ 70 years) (HR = 2.183; 95% CI = 1.089-4377, p = 0.028), palpable tumors (HR = 3.113; 95% CI = 1.499-6.465), p = 0.002), and PLNI (HR = 2.945; 95% CI = 1.441-6.018, p = 0.003), which were associated with clinical standard factors defining high-risk PCa. Age had a negative prognostic impact on elderly patients, who were less likely to have palpable tumors but more likely to have high-grade tumors.

conclusionsHigh-risk PCa progression was independently predicted by advanced age, palpable tumors, and PLNI, which is associated with standard clinical prognostic factors. Consequently, with increasing age, the prognosis is worse in elderly patients, who represent an unfavorable age group that needs extensive counseling for appropriate and personalized management decisions.

Indexed as

Prostatic NeoplasmsRoboticsAgedDisease ProgressionHumansLymph Node ExcisionMalePrognosisProstatectomyRetrospective StudiesTertiary Care CentersAdverse pathologyIntermediate-risk prostate cancerPrognostic factorsPrognostic groupsProstate cancerProstate cancer progressionRobot-assisted radical prostatectomyTumor upgradingTumor upstaging

Identifiers

PMID37337076
PMCPMC10460358
OpenAlexW4381248891

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LicenceCC BY
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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.