Observational studyMedicine2019
Stratification based on adverse laboratory/pathological features for predicting overall survival in patients undergoing radical prostatectomy: A K-CaP registry-based analysis.
Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Development and validation of an online predictive model for biochemical recurrence after radical prostatectomy in elderly patients.Frontiers in oncology · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When making clinical decisions concerning additional treatment for patients who have undergone radical prostatectomy (RP), adverse laboratory/pathological features are considered major factors. We investigated and compared the prognostic efficacy of adverse laboratory/pathological features in predicting overall survival (OS) and biochemical failure (BCF) in these patients.The Korean Prostate Cancer Database was used to identify patients undergoing RP between May 2001 and April 2013. Patients with incomplete clinicopathological data or positive lymphadenectomy results were excluded. Finally, 4486 patients included in the final analysis were categorized based on their adverse laboratory/pathological features.Adverse pathological features and detectable prostate-specific antigen (PSA) levels 6 weeks after surgery were observed in 1977 (44.1%) and 634 (14.1%) patients, respectively. PSA levels, pathological Gleason score ≥8, adverse pathological features [positive surgical margin (PSM), seminal vesicle invasion (SVI), and extracapsular extension (ECE)], and adverse laboratory features (detectable PSA levels after 6 weeks) together were significant predictors of BCF-free survival (BCFFS). SVI was identified as a predictor of OS. Additionally, patients with ECE, PSM, and detectable PSA levels after 6 weeks, but without SVI, showed similar OS to those without ECE, PSM, and detectable PSA levels after 6 weeks and with SVI (log-rank test, P = .976).We successfully stratified patients based on adverse laboratory/pathological features after RP and demonstrated that these are important prognostic factors for OS and BCFFS. Additionally, we identified the criteria for selecting appropriate patients for undergoing additional treatment based on OS and BCFFS.
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Registered trials
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