ReviewCancers2025
Latest Advancements and Future Directions in Prostate Cancer Surgery: Reducing Invasiveness and Expanding Indications.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Robot-Assisted Radical Prostatectomy After Rezūm: A Case Report and Literature Review.Life (Basel, Switzerland) · 2026Article
- Developing a predictive model for early urinary incontinence after laparoscopic radical prostatectomy: a retrospective cohort study.Frontiers in oncology · 2026Article
- Da Vinci Single-Port Robotic Surgery in Europe: Where Do We Stand? A Systematic Review.Journal of clinical medicine · 2025Review
- Transvesical Clipless Robot-Assisted Radical Prostatectomy Using a Multiport Plat-form: Technical Feasibility and Early Outcomes.International braz j urol : official journal of the Brazilian Society of UrologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For more than 20 years, after the introduction of the first robotic system, research on prostate cancer (PCa) surgery has mainly focused on evaluating outcomes of Robotic-Assisted Radical Prostatectomy (RARP). In the last few years, however, a new generation of innovative techniques, surgical approaches, and expanded indications have emerged. The Single Port (SP) robotic system was the first real hardware innovation in robotic surgery, and has already demonstrated advantages in terms of shorter length of stay, better cosmetic results and reduced postoperative pain. Artificial Intelligence (AI)-powered algorithms are being proposed as reliable tools for surgical assistance, aiding in standardization and mass implementation of robotic training. New surgical indications are emerging on the basis of patient and tumor characteristics. The extensive adoption of PCa screening and the precision of diagnostic tools have increased the rate of PCa diagnoses in a localized stage. Partial prostatectomy, despite needing further validation, has emerged as a safe and minimally invasive treatment option for confined tumors, able to minimize the side effects of prostate surgery. For locally advanced PCa, radioguided surgery has not only enhanced the oncological effectiveness of lymphadenectomy by enabling the precise identification and extraction of pathological lymph nodes, but has also contributed to minimizing the side effects associated with unnecessarily extensive dissections. Finally, in light of the increased efficacy of modern systemic therapies and the longer life expectancy, RP is currently being evaluated for primary tumor management in the metastatic phase. Despite the novelty of the aforementioned treatment options, they are already set to shape the future evolution of PCa management and international guidelines.
Indexed as
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.