Evidence map›Paper›PMID 36943597›Full record

ArticleInternational urology and nephrology2023

Preoperative endogenous total testosterone predicts prostate cancer progression: results in 580 consecutive patients treated with robot assisted radical prostatectomy for clinically localized disease.

Antonio Benito Porcaro, Andrea Panunzio, Emanuele Serafin, Alberto Bianchi, Sebastian Gallina, Giovanni Mazzucato, Stefano Vidiri, Damiano D'Aietti, Rossella Orlando, Francesco Ditonno and 11 more

Abstract read
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In one paragraph

Article in International urology and nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

21 authors at 3 institutions in 1 country.

Antonio Benito Porcaro *Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy. drporcaro@yahoo.com.ORCID http://orcid.org/0000-0002-7890-040X
Andrea Panunzio *Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Emanuele SerafinDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alberto BianchiDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Sebastian GallinaDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Giovanni MazzucatoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Stefano VidiriDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Damiano D'AiettiDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Rossella OrlandoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Francesco DitonnoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Francesca MontanaroDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Giulia Marafioti PatuzzoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alberto BailelliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Francesco ArtoniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Stefano Zecchini AntoniolliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Riccardo RizzettoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Matteo BrunelliDepartment of Pathology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Verona, Italy.
Salvatore SiracusanoDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Maria Angela CerrutoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
Alessandro TafuriDepartment of Urology, Vito Fazzi Hospital, Lecce, Italy.
Alessandro AntonelliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Di Verona, Piazzale Stefani 1, 37126, Verona, Italy.
University of Verona · ITOspedale Vito Fazzi · ITUniversity of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo test the role of endogenous total testosterone (ETT) as a predictor of prostate cancer (PCa) progression in patients treated with robot assisted radical prostatectomy for clinically localized disease.

methodsBetween November 2014 and December 2019, 580 consecutive patients were evaluated. Preoperative ETT levels were classified as ≤ 350 ng/dL vs. > 350 ng/dL. The associations between ETT levels and the risk of PCa progression, defined as any event of biochemical recurrence and/or local recurrence and/or distant metastases, or other clinical and pathological factors were evaluated by regression analyses.

resultsPreoperative ETT levels resulted ≤ 350 ng/dL in 173 (29.8%) patients. Disease progression occurred in 101 (17.1%) cases. Progressing patients were more likely to present with PSA levels > 10 ng/mL, as well as with unfavorable tumor grade (ISUP 4-5) and stage (pT3b) at final pathology, but less likely to have ETT levels ≤ 350 ng/mL. On clinical multivariable Cox regression models, ETT ≤ 350 ng/mL exhibited a statistically significant protective effect on tumor progression (hazard ratio: 0.57, p = 0.013). Subjects presenting with ETT levels ≤ 350 ng/mL were less likely to harbor ISUP 4-5 tumor grade either at biopsy (odds ratio [OR]: 0.46, p = 0.028) or final pathology (OR: 0.45, p = 0.032).

conclusionsAt PCa diagnosis, ETT, which associates with ISUP tumor grade, is an independent predictor of disease progression. Accordingly, as ETT decreases to levels ≤ 350 ng/dL, the risk of unfavorable tumor grade decreases, and a more favorable prognosis is expected. Preoperative ETT levels may allow further patient stratification along prognostic risk groups.

Indexed as

Prostatic NeoplasmsRoboticsDisease ProgressionHumansMaleNeoplasm Recurrence, LocalPrognosisProstatectomyProstate-Specific AntigenTestosteroneProstate-Specific AntigenTestosteroneAndrogensDisease progressionProstate cancerProstatectomy

Identifiers

PMID36943597
OpenAlexW4328048335

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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.