ReviewCancers2024
Learning Curve for Robotic Colorectal Surgery.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Learning curves in robotic and laparoscopic colorectal surgery: a systematic review.Journal of robotic surgery · 2026Pooled it
- Bedside assistant models in robotic abdominal and pelvic surgery: a systematic review of operative efficiency, training exposure, and perioperative safety.Journal of robotic surgery · 2026Pooled it
- Is robotic colorectal surgery worth the cost? An umbrella review integrating clinical outcomes, learning curve, and economic evidence.Journal of robotic surgery · 2026Pooled it
- Learning curve for lateral lymph node dissection in rectal cancer - a systematic review of literature.Techniques in coloproctology · 2025Pooled it
- Learning curve of robotic colectomy: a systematic review and meta-analysis of surgical proficiency, outcomes, and training protocols.Journal of robotic surgery · 2025Pooled it
- Acclimatising with 3D virtual reality video improves simulator performance: initial findings of a randomised controlled feasibility trial.Surgical endoscopy · 2025Trial
- Limitations of procedural learning curves: reassessment of the clinical relevance of learning curve analysis in robotic right hemicolectomy.Journal of robotic surgery · 2026Article
- Gastric volume reduction estimation following Endoscopic Sleeve Gastroplasty through Image-based Analysis.Surgical endoscopy · 2026Article
- Operative workflow characterization of the Hugo robotic-assisted surgery and da Vinci Multiport systems in left-sided colorectal surgery: a single-institution pilot analysis.Journal of minimally invasive surgery · 2026Article
- Robot-assisted colectomy is associated with improved perioperative outcomes and favorable survival in stage I-III colon cancer: a nationwide overlap-weighted analysis.Surgical endoscopy · 2026Article
- A modified Delphi consensus on fusion (laparoscopic and robotic) approaches to colorectal surgery in Asia-Pacific.Journal of gastroenterology · 2026Article
- Article
- Robotic adhesiolysis: current evidence, technical considerations, and future directions.Journal of robotic surgery · 2026Review
- Safe Implementation of Robotic Colorectal Surgery: Balancing Surgical Training and Patient Safety with the Dual-Console System.Journal of clinical medicine · 2026Article
- Robotic-assisted right colectomy with the DEXTERTechniques in coloproctology · 2026Article
- Learning curves in Versius-assisted colorectal surgery: a risk-adjusted CUSUM analysis from a single center.International journal of colorectal disease · 2026Article
- Robotic versus laparoscopic surgery for IBD: a case-matched comparison during the learning curve.Updates in surgery · 2026Article
- Robotic versus laparoscopic ileal pouch-anal anastomosis for ulcerative colitis: an analysis of the Nationwide readmission database, 2016-2020.Techniques in coloproctology · 2026Article
- Global research trends in robot-assisted colectomy: a bibliometric and visualization analysis.Journal of robotic surgery · 2026Article
- Risk-adjusted learning curve for robotic colorectal surgery in an educational setting: a single-center consecutive series.Journal of robotic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increasing adoption of robotic surgery in clinical practice, institutions intending to adopt this technology should understand the learning curve in order to develop strategies to help its surgeons and operating theater teams overcome it in a safe manner without compromising on patient care. Various statistical methods exist for the analysis of learning curves, of which a cumulative sum (CUSUM) analysis is more commonly described in the literature. Variables used for analysis can be classified into measures of the surgical process (e.g., operative time and pathological quality) and measures of patient outcome (e.g., postoperative complications). Heterogeneity exists in how performance thresholds are defined during the interpretation of learning curves. Factors that influence the learning curve include prior surgical experience in colorectal surgery, being in a mature robotic surgical unit, case mix and case complexity, robotic surgical simulation, spending time as a bedside first assistant, and being in a structured training program with proctorship.
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.