ReviewCancers2025
Current Evidence in Robotic Colorectal Surgery.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Robotic-assisted compartmental dissection for retroperitoneal sarcoma: a feasibility study on cadavers with the da Vinci Xi system.Journal of robotic surgery · 2026Article
- Robotic-Assisted Surgery for Colorectal Cancer Treatment in 2026: An Updated Narrative Review.Journal of clinical medicine · 2026Review
- Article
- Safety of Simultaneous Robot-Assisted Resection of Colorectal Malignancy and Synchronous Liver Metastases.Journal of clinical medicine · 2026Article
- Effects of early activity intervention on intestinal motility recovery in patients after colorectal cancer surgery.World journal of gastrointestinal surgery · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal surgery has undergone significant advances over the past few decades, driven by the evolution of minimally invasive techniques, particularly laparoscopy and robotics. While laparoscopy is widely recognized for its short-term benefits and oncological safety, the increasing adoption of robot-assisted surgery (RAS) has generated considerable debate regarding its clinical benefits, economic implications, and overall impact on patient outcomes. This narrative review synthesizes the existing evidence, highlighting the clinical and economic aspects of RAS in colorectal surgery, while exploring areas for future research. The findings suggest that RAS offers potential technical advantages, including increased precision, three-dimensional visualization, and improved ergonomics, particularly in anatomically complex scenarios such as low rectal resections. Still, its superiority over laparoscopy remains inconclusive and current evidence is mixed. For colon cancer, meta-analyses and analyses of large cohorts suggest lower conversion rates and faster recovery with RAS, although data are mostly retrospective and lack long-term oncological endpoints. In rectal cancer, emerging evidence from randomized controlled trials demonstrates improved short-term outcomes. Additionally, the recently published three-year results of the REAL trial are the first to demonstrate enhanced oncological outcomes following RAS. However, findings remain inconsistent due to methodological heterogeneity, the absence of patient stratification, and limited data on long-term survival and cost-effectiveness. The available evidence indicates that RAS may offer advantages in selected patient populations, particularly for anatomically complex procedures. Yet, its overall utility remains uncertain. Future studies should emphasize high-quality randomized trials, stratified subgroup analyses, and standardized economic evaluations to better define the role of RAS in colorectal surgery.
Indexed as
Identifiers
What Socratic 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 Socratic graph.