Evidence map›Paper›PMID 39285042›Full record

ArticleSurgical endoscopy2024

Detailed analysis of learning phases and outcomes in robotic and endoscopic thyroidectomy.

Jia-Fan Yu, Wen-Yu Huang, Jun Wang, Wei Ao, Si-Si Wang, Shao-Jun Cai, Si-Ying Lin, Chi-Peng Zhou, Meng-Yao Li, Xiao-Shan Cao and 6 more

Abstract readComparative Study
In one paragraph

Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

16 authors.

Jia-Fan Yu *Department of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Wen-Yu Huang *Department of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Jun Wang *Department of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Wei AoDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Si-Si WangDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Shao-Jun CaiDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Si-Ying LinDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Chi-Peng ZhouDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Meng-Yao LiDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Xiao-Shan CaoDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Xiang-Mao CaoDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Zi-Han TangDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China.
Zhi-Hong WangDepartment of Thyroid Surgery, the First Affiliated Hospital of China Medical University, Shenyang, LN, China.
Surong HuaDepartment of General Surgery, Peking Union Medical College, Peking, China.
Wen-Xin ZhaoDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China. Zhaowx@fjmu.edu.cn.
Bo WangDepartment of Thyroid Surgery, Fujian Medical University Union Hospital, Fuzhou, FJ, China. WangBo@fjmu.edu.cn.ORCID 0000-0003-1029-3954

Funding

Additional supporting information may be found in the online version of this article. PendingClinical Research Center for Precision Management of Thyroid Cancer of Fujian Province 2022Y2006Fujian Provincial Finance Project 2023CZ008Innovation of Science and Technology, Fujian Province 2018Y9093Joint Funds for the Innovation of Science and Technology, Fujian Province 2023Y9119Joint Funds for the Innovation of Science and Technology, Fujian Province 2023Y9135Joint Funds for the Innovation of Science and Technology, Fujian Province 2023Y9190the Fujian Provincial Health Technology Project 2019-CX-16
6 · The paper itself

Abstract

backgroundThyroid surgery has undergone significant transformation with the introduction of minimally invasive techniques, particularly robotic and endoscopic thyroidectomy. These advancements offer improved precision and faster recovery but also present unique challenges. This study aims to compare the learning curves, operational efficiencies, and patient outcomes of robotic versus endoscopic thyroidectomy.

methodsA retrospective cohort study was conducted, analyzing 258 robotic (da Vinci) and 214 endoscopic thyroidectomy cases. Key metrics such as operation duration, drainage volume, lymph node dissection outcomes, and hypoparathyroidism incidence were assessed to understand surgical learning curves and efficiency.

resultsRobotic thyroidectomy showed a longer learning curve with initially longer operation times and higher drainage volumes but superior lymph node dissection outcomes. Both techniques were safe, with no permanent hypoparathyroidism or recurrent laryngeal nerve damage reported. The study delineated four distinct stages in the robotic and endoscopic surgery learning curve, each marked by specific improvements in proficiency. Endoscopic thyroidectomy displayed a shorter learning curve, leading to quicker operational efficiency gains.

conclusionRobotic and endoscopic thyroidectomies are viable minimally invasive approaches, each with its learning curves and efficiency metrics. Despite initial challenges and a longer learning period for robotic surgery, its benefits in complex dissections may justify specialized training. Structured training programs tailored to each technique are crucial for improving outcomes and efficiency. Future research should focus on optimizing training protocols and increasing accessibility to these technologies, enhancing patient care in thyroid surgery.

Indexed as

EndoscopyLearning CurveRobotic Surgical ProceduresThyroidectomyAdultFemaleHumansLymph Node ExcisionMaleMiddle AgedOperative TimeRetrospective StudiesTreatment OutcomeBilateral axillo-breast approach (BABA)daVinci robotic thyroidectomyEndoscopic thyroidectomyLearning curvesMinimally invasive surgery

Identifiers

PMID39285042
PMCPMC11525402

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.