Evidence map›Paper›PMID 42153283›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2026

Robotic-Assisted Bile Duct Cannulation During Endoscopic Retrograde Cholangiopancreatography: A Randomised Controlled Crossover Animal Study.

Bin Yan, Yongming Yang, Lihua Peng, Yuhang Zhang, Zhifeng Zhao, Mengyuan Liu, Xiuli Zhang, Gang Sun, Zikai Wang, Fei Pan and 8 more

Abstract readRandomized Controlled Trial, Veterinary
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Bin YanDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yongming YangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Lihua PengDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yuhang ZhangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Zhifeng ZhaoChina Medical University, Shenyang, China.
Mengyuan LiuChina Medical University, Shenyang, China.
Xiuli ZhangDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Gang SunDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-8594-557X
Zikai WangDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Fei PanDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Peng WangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Yaning LiState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Shenglin ZhangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Miao LiuDepartment of Statistics and Epidemiology, Graduate School of Chinese PLA General Hospital, Beijing, China.
Xiaomei ZhangDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jingshuang YanDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Hao LiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.ORCID https://orcid.org/0000-0002-8278-1263
Yunsheng YangDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.

Funding

National Key Research and Development Program of China 2018YFC010315National Key Research and Development Program of China 2023YFB4705700National Science and Technology Planning Project 2012BAI14B03
6 · The paper itself

Abstract

introductionEndoscopic retrograde cholangiopancreatography (ERCP) is technically challenging, with high operator radiation exposure, physical strain, and a steep learning curve, necessitating a robotic solution. This study evaluated robotic-assisted ERCP feasibility and efficacy in an animal model.

methodsIn this randomised controlled crossover study, three experienced endoscopists performed 24 ERCP procedures (12 robotic-assisted vs. 12 manual) on four beagles using the YunSRobot system. Primary outcomes included papilla positioning maintenance, cannulation time, and success rate.

resultsRobotic-assisted ERCP demonstrated superior papilla positioning (95.74% vs. 77.25%, p < 0.01), indicating more endoscopic stability during cannulation. The successful cannulation rate was identical in both groups (83.3%). The robotic group required fewer attempts (2.0 vs. 3.5) and experienced no scope dislocations (0 vs. 5). No severe adverse events occurred in either group.

conclusionsRobotic-assisted ERCP is feasible, safe, and effective, offering significantly improved endoscopic stability with comparable cannulation success to manual techniques.

Indexed as

Bile DuctsCatheterizationCholangiopancreatography, Endoscopic RetrogradeRobotic Surgical ProceduresAnimalsCross-Over StudiesDogsFeasibility StudiesFemaleMaleendoscopic retrograde cholangiopancreatographyendoscopic stabilityrobotic‐assistedYunSRobot

Identifiers

PMID42153283
PMCPMC13184807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.