Evidence map›Paper›PMID 37410312›Full record

ArticleAnnals of surgical oncology2023

Compartmental Transoral Robotic Lateral Oropharyngectomy with the da Vinci Single-Port System: Surgical Technique.

Armando De Virgilio, Andrea Costantino, Bianca Maria Festa, Claudio Sampieri, Giuseppe Spriano, Se-Heon Kim

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Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Armando De Virgilio *Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Andrea Costantino *Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Bianca Maria FestaDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Claudio SampieriDepartment of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Giuseppe SprianoDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Se-Heon KimDepartment of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea. shkimmd@yuhs.ac.ORCID https://orcid.org/0000-0002-6407-5859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransoral robotic surgery (TORS) has renovated the surgical management of oropharyngeal squamous cell carcinoma (OPSCC), allowing a minimally invasive surgical approach with optimal oncological outcomes. The recent introduction of the da Vinci Single Port (SP) system resulted in a considerable improvement of TORS technique.

methodsIn this video, we illustrate the transoral robotic lateral oropharyngectomy performed with the da Vinci SP system in a 50-year-old male patient suffering from a p16+ oropharyngeal squamous cell carcinoma cT4N1M0.

resultsThe transoral robotic lateral oropharyngectomy is illustrated step by step. The structures encountered during the resection are described, and the surgical margins are defined based on anatomical landmarks. The most critical regions encountered during resection are pointed out, and the tip and tricks of this surgery are reported.

conclusionsA step-by-step transoral lateral oropharyngectomy is described to increase its reproducibility. The da Vinci SP system owns various benefits for performing transoral lateral oropharyngectomy due to the increased maneuverability in the narrower oral cavity working spaces.

Indexed as

Head and Neck NeoplasmsOropharyngeal NeoplasmsRobotic Surgical ProceduresHumansMaleMiddle AgedMouthReproducibility of ResultsSquamous Cell Carcinoma of Head and NeckHead and neck cancerOropharynxSquamous cell carcinomaSurgical procedureTORS

Identifiers

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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.