Evidence map›Paper›PMID 39589591›Full record

ArticleWorld journal of urology2024

Active surveillance follow-up for prostate cancer: from guidelines to real-world clinical practice.

Giuseppe Chiarelli, Alex Stephens, Marco Finati, Giuseppe Ottone Cirulli, Shane Tinsley, Yuzhi Wang, Kaushik Kolanukuduru, Akshay Sood, Giuseppe Carrieri, Alberto Briganti and 5 more

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Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Giuseppe ChiarelliVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Alex StephensPublic Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Marco FinatiVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Giuseppe Ottone CirulliVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Shane TinsleyVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Yuzhi WangVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Kaushik KolanukuduruDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Akshay SoodDepartment of Urology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Giuseppe CarrieriDepartment of Urology and Renal Transplantation, University of Foggia, Foggia, Italy.
Alberto BrigantiDivision of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy.
Francesco MontorsiDivision of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy.
Giovanni LughezzaniDepartment of Urology, IRCCS Humanitas Research Hospital, Humanitas University, Milan, Italy.
Nicolò BuffiDepartment of Urology, IRCCS Humanitas Research Hospital, Humanitas University, Milan, Italy.
Craig RogersVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Firas AbdollahVUI Center for Outcomes Research, Analysis, and Evaluation, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI, 48202, USA. Fabdoll1@hfhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess active surveillance (AS) adherence for prostate cancer (PCa) in a "real-world" clinical practice. MATERIALS AND

methodsWe utilized our institutional database which was built by interrogating electronic medical records for all men who got diagnosed with PCa from 1995 to 2022. Our cohort included all patients aged < 76 years, with PCa Gleason Grade (GG) 1 or 2, ≤ cT2c, PSA ≤ 20 ng/ml at diagnosis, enrolled on AS, and with at least one biopsy after diagnosis. Patients were separated into two groups based on the monitoring intensity. Patients with at least 1 PSA/year and at least 1 biopsy every 4 years were categorized as adherent to guidelines. Univariable and Multivariable logistic regression analyses were used to examine the impact of covariates on non-adherence to guidelines. Competing risks cumulative incidence was used to depict prostate cancer-specific mortality (PCSM).

resultsA total of 546 men met the inclusion criteria. Overall, 63 (11%) patients were adherent to guidelines (Group 1), while 483 (89%) were not (Group 2). Median PSAs/year and median biopsies/year were 2.3 (2.0-2.7) and 0.4 (0.3-0.6) for Group 1, and 1.2 (0.7-1.8) and 0.2 (0.1-0.2) for Group 2, respectively (both p < 0.0001). At multivariable analysis, Black men had a 2.20-fold higher risk of being in Group 2 than White men (p < 0.05). Patients with cT2 (OR:0.24, CI:0.11-0.52) and those with CCI ≥2 (OR:0.40, CCI:0.19-0.82) were less likely to be in Group 2, when compared to cT1 stage and CCI = 0, respectively (both p < 0.05). At 10 years, the cumulative incidence estimate of PCSM for the entire cohort was 2.1%.

conclusionWe found substantial deviations from AS monitoring guidelines, particularly in biopsy frequency, which did not seem to compromise PCSM in patients with stable PSA. Notably, our findings suggest that strict adherence to guidelines, especially in patients with cT2 at diagnosis, remains crucial.

Indexed as

Guideline AdherencePractice Guidelines as TopicProstatic NeoplasmsWatchful WaitingAgedFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesActive surveillanceGuideline adherencePractice guidelineProstate-specific antigenProstatic neoplasms

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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.