SynthesisInternational journal of colorectal disease2016
Learning curve in robotic rectal cancer surgery: current state of affairs.
Synthesis in International journal of colorectal disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 5 of them syntheses that pooled 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.
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
65 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Robot-assisted versus laparoscopic surgery for rectal cancer: a systematic review and meta-analysis of randomised trials with GRADE certainty rating.Surgical endoscopy · 2026Pooled it
- Colorectal cancer treatment assisted by robotic platforms - a systematic review.Journal of robotic surgery · 2026Pooled it
- Learning curve of laparoscopic inguinal hernia repair: systematic review, meta-analysis, and meta-regression.Surgical endoscopy · 2023Pooled it
- The learning curve of laparoscopic, robot-assisted and transanal total mesorectal excisions: a systematic review.Surgical endoscopy · 2022Pooled it
- Robotic versus laparoscopic intersphincteric resection for low rectal cancer: a systematic review and meta-analysis.International journal of colorectal disease · 2018Pooled it
- Performance and operative outcomes' evaluation of a hand-held articulating laparoscopic device: a prospective clinical trial on the HandX™ platform.Journal of robotic surgery · 2025Trial
- Feasibility of robotic-assisted surgery in advanced rectal cancer: a multicentre prospective phase II study (VITRUVIANO trial).BJS open · 2024Trial
- Robotic surgery for rectal cancer in 2026: a hierarchical appraisal of the evidence.Journal of robotic surgery · 2026Review
- Colorectal Cancer Surgery: Laparoscopic vs. Robotic Approaches-A Review of the Literature.Journal of clinical medicine · 2026Review
- Short-term outcomes and learning curve of the double-bipolar method in 100 consecutive robot-assisted colorectal cancer resections: a single-center retrospective cohort study.Journal of robotic surgery · 2026Article
- Impact of the learning curve on the outcomes of robotic surgery in obese patients with rectal cancer.Surgery today · 2026Article
- Development of a predictive score for prolonged pelvic operation time in robot-assisted low anterior resection: a single-center, retrospective study in Japan.Surgical endoscopy · 2025Article
- Evaluating short- and long-term clinical outcomes of robotic rectal cancer surgery: a comparison of da Vinci S and Xi systems.Journal of robotic surgery · 2025Article
- Phase-specific learning curves in robot-assisted rectal surgery: implications for surgical training.International journal of colorectal disease · 2025Article
- Learning Curve on Lymph Nodes Retrieval and Postoperative Length of Hospital Stay in Robotic Rectal Cancer: A Retrospective, Observational Study.Health science reports · 2025Article
- A Narrative Review on the Role of Artificial Intelligence (AI) in Colorectal Cancer Management.Cureus · 2025Review
- A pan-European survey of robotic training for gastrointestinal surgery: European Robotic Surgery Consensus (ERSC) initiative.Surgical endoscopy · 2025Article
- Comparing robot-assisted vs. laparoscopic proctectomy for rectal cancer surgical and oncological outcomes.Frontiers in surgery · 2025Article
- Learning Curve for Robotic Colorectal Surgery.Cancers · 2024Review
- Introduction of a new surgical robot platform "hinotori™" in an institution with established da Vinci surgery™ for digestive organ operations.Surgical endoscopy · 2024Article
5 more citing papers are in PubMed but not listed here.
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
introductionRobotic-assisted rectal cancer surgery offers multiple advantages for surgeons, and it seems to yield the same clinical outcomes as regards the short-time follow-up of patients compared to conventional laparoscopy. This surgical approach emerges as a technique aiming at overcoming the limitations posed by rectal cancer and other surgical fields of difficult access, in order to obtain better outcomes and a shorter learning curve. MATERIAL AND
methodsA systematic review of the literature of robot-assisted rectal surgery was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The search was conducted in October 2015 in PubMed, MEDLINE and the Cochrane Central Register of Controlled Trials, for articles published in the last 10 years and pertaining the learning curve of robotic surgery for colorectal cancer. It consisted of the following key words: "rectal cancer/learning curve/robotic-assisted laparoscopic surgery".
resultsA total of 34 references were identified, but only 9 full texts specifically addressed the analysis of the learning curve in robot-assisted rectal cancer surgery, 7 were case series and 2 were non-randomised case-comparison series. Eight papers used the cumulative sum (CUSUM) method, and only one author divided the series into two groups to compare both. The mean number of cases for phase I of the learning curve was calculated to be 29.7 patients; phase II corresponds to a mean number 37.4 patients. The mean number of cases required for the surgeon to be classed as an expert in robotic surgery was calculated to be 39 patients.
conclusionRobotic advantages could have an impact on learning curve for rectal cancer and lower the number of cases that are necessary for rectal resections.
Indexed as
Identifiers
27714517What 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.