Evidence map›Paper›PMID 40309630›Full record

ArticleHealth science reports2025

Learning Curve on Lymph Nodes Retrieval and Postoperative Length of Hospital Stay in Robotic Rectal Cancer: A Retrospective, Observational Study.

Yan Yang, Yao Yao, Xiangyang Li, Ling Ni, Zhenning Hang, Xiaobo Feng

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Yan YangDepartment of General Surgery Jinling Hospital of Medical School of Nanjing University Nanjing Jiangsu China.ORCID 0000-0002-8304-1793
Yao YaoDepartment of General Surgery Jinling Hospital of Medical School of Nanjing University Nanjing Jiangsu China.
Xiangyang LiDepartment of General Surgery Jinling Hospital of Medical School of Nanjing University Nanjing Jiangsu China.
Ling NiDepartment of General Surgery Jinling Hospital of Medical School of Nanjing University Nanjing Jiangsu China.
Zhenning HangDepartment of General Surgery Jinling Hospital of Medical School of Nanjing University Nanjing Jiangsu China.
Xiaobo FengDepartment of General Surgery Jinling Hospital of Medical School of Nanjing University Nanjing Jiangsu China.ORCID https://orcid.org/0009-0004-7617-9833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Robotic rectal cancer surgery has been introduced to reduce the difficulty and complications of the procedure. This study aims to assess the learning curve for robotic rectal cancer of individual surgeons with extensive laparoscopic rectal cancer surgery through multidimensional analyses. Methods: Data were retrospectively collected on 156 patients who underwent robotic rectal cancer surgery by a single surgeon between January 2018 and December 2023. Results: The operative time required for LAR can be divided into three distinct phases: an early or learning phase (1-24 cases), an intermediate or proficient phase (25-55 cases), and a late or mastery phase (56-72 cases). The study found that the learning curve for LAR and protective operative time can be divided into three distinct phases: an early or learning phase (1 to 15 cases), an intermediate or proficient phase (16 to 40 cases), and a late or mastery stage (41 to 63 cases). Following the completion of 46 cases of surgery, the next stage of the learning curve for lymph nodes retrieval has been reached. The discrepancy between the mean number of lymph nodes retrieved in each of the three stages was marginal, with an difference of 0.5 between the lowest and highest values observed (14.1 vs. 13.6 vs. 13.7). The length of hospital stay for patients decreases as the surgeon gains more experience, reaching a mean of 10.3 days in 2023. Conclusion: This study shows that robotic surgery for rectal cancer has a significant learning curve with multiple stages. Robotic surgery can remove more lymph nodes than recommended by guidelines even during the learning phase (recommend that at least 12 lymph nodes should be retrieved). As the learning curve progresses to the mastery phase, the length of postoperative hospital stays gradually decreases to a lower level.

Indexed as

learning curvelymph nodespostoperativerectal cancerrobotic surgery

Identifiers

PMID40309630
PMCPMC12040756

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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.