ArticleProstate cancer2011
Prognostic factors for the development of biochemical recurrence after radical prostatectomy.
Article in Prostate cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Integrated Single-Cell RNA-Seq and Machine Learning to Construct an EMT Infiltration Scoring Model for Prostate Cancer.International journal of molecular sciences · 2026Article
- Periprostatic adipose tissue-derived extracellular vesicles modulate prostate cancer cell behaviour in vitro according to tumour grade.Molecular medicine (Cambridge, Mass.) · 2026Article
- Using interpretable machine learning model to predict lymph node metastasis in patients with localized prostate cancer.Frontiers in oncology · 2026Article
- Predicting Biochemical Recurrence After Robot-Assisted Prostatectomy with Interpretable Machine Learning Model.Journal of clinical medicine · 2025Article
- Article
- The potential of gallium-68 prostate-specific membrane antigen positron emission tomography/computed tomography as a main diagnostic tool in prostate cancer staging.Central European journal of urology · 2025Review
- Impact of the Proportion of Biopsy Positive Core in Predicting Biochemical Recurrence in Patients with Pathological Pt2 and Negative Resection Margin Status after Radical Prostatectomy.Pathology oncology research : POR · 2020Article
- Article
- The clinicopathologic significance of Notch3 expression in prostate cancer.International journal of clinical and experimental pathology · 2019Article
- Akt Activation Correlates with Snail Expression and Potentially Determines the Recurrence of Prostate Cancer in Patients at Stage T2 after a Radical Prostatectomy.International journal of molecular sciences · 2016Article
- Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.PloS one · 2014Article
- Can diffusion-weighted magnetic resonance imaging predict a high Gleason score of prostate cancer?Korean journal of urology · 2013Article
- 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is one of the most common cancers in Western countries and is associated with a considerable risk of mortality. Biochemical recurrence following radical prostatectomy is a relatively common finding, affecting approximately 25% of cases. The aim of our paper was to identify factors that can predict the occurrence of biochemical recurrence, so the patient can be properly counselled pre- and postoperatively. Medline review of the literatures was done followed by a group discussion on the chosen publications and their valuable influence. Preoperative serum total PSA and clinical stage, together with prostatectomy Gleason grade, tumour volume, and perineural and vascular invasions, were the most important variables found to influence outcome.
Identifiers
What OpenQuestion holds
Registered trials
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.