ArticleWorld journal of clinical cases2022
Learning curve for a surgeon in robotic pancreaticoduodenectomy through a "G"-shaped approach: A cumulative sum analysis.
Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 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
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.
- The learning curve of robotic pancreatoduodenectomy: a systematic review of learning curve assessment methodologies, proficiency thresholds, training pathways and clinical outcomes.Journal of robotic surgery · 2026Pooled it
- Robotic versus laparoscopic pancreatoduodenectomy across the learning curve: a systematic review and meta-analysis.Langenbeck's archives of surgery · 2026Pooled it
- Learning curve of totally robotic pancreaticoduodenectomy in early-career surgeons: a dual analysis using CUSUM and moving average.Surgical endoscopy · 2026Article
- Current Status and Future Perspectives of Superior Mesenteric Artery Dissection in Robotic Pancreaticoduodenectomy: A Scoping Review of Technical Variations in the Robotic Era.Journal of clinical medicine · 2025Review
- A decade-long prospective analysis of the learning curve after 435 robotic pancreaticoduodenectomies from a single tertiary institution.Journal of robotic surgery · 2025Article
- Robotic Pancreatoduodenectomy: Increasing Complexity and Decreasing Complications with Experience: Single-Center Results from 150 Consecutive Patients.Annals of surgical oncology · 2024Article
- Safety and learning curve analysis of robotic-assisted pancreaticoduodenectomy: experience of a single surgeon.Journal of robotic surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobotic pancreaticoduodenectomy (RPD) can achieve similar surgical results to open and PD; however, RPD has a long learning curve and operation time (OT). To address this issue, we have summarized a surgical path to shorten the surgical learning curve and OT.
aimTo investigate the effective learning curve of a "G"-shaped surgical approach in RPD for patients.
methodsA total of 60 patients, who received "G"-shaped RPD (GRPD) by a single surgeon in the First Hospital of Shanxi Medical University from May 2017 to April 2020, were included in this study. The OT, demographic data, intraoperative blood loss, complications, hospitalization time, and pathological results were recorded, and the cumulative sum (CUSUM) analysis was performed to evaluate the learning curve for GRPD.
resultsAccording to the CUSUM analysis, the learning curve for GRPD was grouped into two phases: The early and late phases. The OT was 480 ± 81.65 min
conclusionGRPD can improve the learning curve and operative time, providing a new method for shortening the RPD learning curve.
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.