Evidence map›Paper›PMID 39496950›Full record

ArticleSurgical endoscopy2025

Learning curve for the combined trans-oral and chest approach to endoscopic selective neck dissection: a cumulative sum (CUSUM) analysis.

Zhen-Xin Chen, Xin-Ran Zhao, Feng-Shun Pang, Jing-Bao Chen, Ya-Min Song, Ying Cao, Zhan-Hong Lin, Bo Xu, You Qin

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Article in Surgical endoscopy, 2025. 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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5 · Who and what money

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9 authors.

Zhen-Xin Chen *Department of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China.
Xin-Ran Zhao *The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510120, Guangdong, People's Republic of China.
Feng-Shun Pang *Department of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China.
Jing-Bao ChenDepartment of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China.
Ya-Min SongDepartment of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China.
Ying CaoDepartment of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China.
Zhan-Hong LinDepartment of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China.
Bo XuDepartment of General Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China. aabb97@163.com.
You QinDepartment of Minimally Invasive Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of TCM), Guangzhou, 510120, People's Republic of China. gzqinyou@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combined trans-oral and chest approach is a novel technique for endoscopic selective neck dissection (SND), with satisfactory oncological safety and cosmetic results. However, this hybrid approach is difficult, and the learning curve remains unclear. In this study, we aimed to evaluate the short-term outcomes for this hybrid approach, and to define the associated learning curve.

methodClinical data and surgical outcomes of 58 PTC patients who underwent endoscopic SND via combined trans-oral and chest approach between September 2020 and April 2023 were retrospectively reviewed. The cumulative sum (CUSUM) sequential analysis technique is used to detect change, and has been applied for the evaluation of learning curves.

resultsThe study population included 58 patients (40 females, 18 males), with mean age of 38.9 ± 12.7 years and average body mass index of 22.6 ± 4.8 kg/m

conclusionsAfter the experience acquired using endoscopic SND via combined trans-oral and chest approach to treat PTC in 20 patients, the number of complications decreased significantly. Compared to data collected for the initial phase, data collected for the mature phase showed trends toward decreased operating time.

Indexed as

Learning CurveNeck DissectionAdultEndoscopyFemaleHead and Neck NeoplasmsHumansMaleMiddle AgedMouthOperative TimeRetrospective StudiesThoraxCombined trans-oral and chest approachCumulative sum analysisEndoscopic selective neck dissectionLearning curvePapillary thyroid carcinoma

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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.