Evidence map›Paper›PMID 39539557›Full record

ArticleBJUI compass2024

The accuracy of ultrasensitive PSA in predicting disease progression after radical prostatectomy.

Heikki Seikkula, Jaakko Hyysalo, Mikael Högerman, Peter J Boström, Otto Ettala

Erratum issuedAbstract read
In one paragraph

Article in BJUI compass, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Article
  2. Erratum.BJUI compass · 2024
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Heikki SeikkulaDepartment of Surgery Hospital Nova of Central Finland Jyväskylä Finland.ORCID https://orcid.org/0000-0001-9942-1582
Jaakko HyysaloDepartment of Urology University of Turku Turku Finland.
Mikael HögermanDepartment of Urology University of Turku Turku Finland.
Peter J BoströmDepartment of Urology University of Turku Turku Finland.
Otto EttalaDepartment of Urology University of Turku Turku Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the role of ultrasensitive PSA values (usPSA) after radical prostatectomy in predicting the subsequent biochemical recurrence (BCR). Material and methods: The study included 1836 patients who underwent open or robot-assisted RP at Turku University Hospital between 2003 and 2018. Exclusion criteria involved patients with adjuvant treatments and those who did not reach a PSA nadir <0.1 ng/ml, resulting in a final cohort of 1313 patients. The prognostic impact of the optimal usPSA nadir cut-off value 6 months after RP was investigated to predict subsequent BCR for the whole cohort ( Results: In a cohort with a median age of 64, primarily featuring Gleason score 7 prostate cancer. uPSA nadir of 0.01 ng/ml (AUC = 0.80) at the first monitoring post-surgery emerged as the optimal cut-off for identifying subjects at low (80%) or high (20%) risk of BCR within the first 3 years. Beyond this period, uPSA values during the first 3 [(AUC = 0.89; 3-5 years post-surgery) and (AUC = 0.81; beyond 5 years)] and 5 post-surgery years (AUC = 0.85) outperformed uPSA nadir in predicting subsequent BCR. Notably, EAU-defined high-risk patients with low uPSA nadir maintained substantial BCR-free survival. Conclusion: In conclusion, a low usPSA predicts minimal BCR risk over the next 2-3 years post-measurement. Patients with low usPSA can benefit from reduced post-surgery PSA monitoring at 2- to 3-year intervals without compromising outcomes. This strategic approach optimizes resource allocation in busy urological outpatient clinics, especially valuable in publicly reimbursed healthcare systems like Finland.

Indexed as

biochemical recurrenceprostate‐specific antigenprostatic neoplasmsradical prostatectomyultrasensitive prostate‐specific antigen

Identifiers

PMID39539557
PMCPMC11557256

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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.