Evidence map›Paper›PMID 42322386›Full record

ArticleJournal of robotic surgery2026

Beware of the plateau trap: a multidimensional analysis redefining the learning curve of robotic lobectomy in non-small cell lung cancer.

Yi-Qing Lin, Mu-Zi Yang, Jing-Sheng Cai, Zeng-Hao Chang, Hou-Rui Fan, Tian-Yu Sun, Hao-Xian Yang

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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi-Qing Lin *Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China.
Mu-Zi Yang *Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China.
Jing-Sheng CaiDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China.
Zeng-Hao ChangDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China.
Hou-Rui FanDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China.
Tian-Yu SunDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China.
Hao-Xian YangDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P.R. China. yanghx@sysucc.org.cn.ORCID http://orcid.org/0000-0002-1940-3657

Funding

Sun Yat-sen University Clinical Research 5010 Program 2019012the Excellent Surgery Study Project of Bethune Charitable Foundation CESS2021LB15
6 · The paper itself

Abstract

Current definitions of the learning curve for robotic lobectomy are derived from small cohorts and lack standardized criteria for proficiency. Whether these series can accurately distinguish true surgical mastery from improved operative efficiency remains uncertain.We analyzed 300 consecutive patients with non-small cell lung cancer who underwent robotic portal lobectomy with four arms (RPL-4) between June 2018 and July 2023, using a prospectively maintained database. Learning phases were determined using cumulative sum and multivariable analyses. Perioperative outcomes were compared across phases. Three phases were identified: learning (cases 1-81), plateau (82-137), and mastery (> 137). Median console time declined significantly across phases (88.0 vs. 69.0 vs. 66.0 min, P < 0.001). Median blood loss also decreased (50.0 vs. 50.0 vs. 40.0 mL, P < 0.001). Despite improved efficiency, postoperative complication rates remained elevated during the plateau phase (10.7%), primarily due to Clavien-Dindo Grade II events (8.9%), before decreasing to 3.1% in the mastery phase (P = 0.016). Furthermore, sustained reductions in chest tube duration and length of stay were observed only after > 137 cases. RPL-4 demonstrates a prolonged 3-phase learning curve with a deceptive plateau. During this phase, gains in efficiency obscure persistently high postoperative complication rates, leading to underestimation of the true learning process. Training benchmarks should prioritize comprehensive surgical quality rather than operative speed alone.

Indexed as

Carcinoma, Non-Small-Cell LungLearning CurveLung NeoplasmsPneumonectomyRobotic Surgical ProceduresAgedFemaleHumansLength of StayMaleMiddle AgedOperative TimePostoperative ComplicationsLearning curveLobectomyNon-small cell lung cancerPostoperative complicationsRobotic Surgical Procedures

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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.