Evidence map›Paper›PMID 34687546›Full record

ArticleInteractive cardiovascular and thoracic surgery2022

Midterm survival of imaging-assisted robotic lung segmentectomy for non-small-cell lung cancer.

Zied Chaari, François Montagne, Matthieu Sarsam, Benjamin Bottet, Philippe Rinieri, Andre Gillibert, Jean Marc Baste

Abstract read
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Article in Interactive cardiovascular and thoracic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Who cites it

3 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.

Zied ChaariUniversity of Sfax-Department of Thoracic and Cardiovascular Surgery, Habib Bourguiba University Hospital, Sfax, Tunisia.ORCID 0000-0002-4006-4055
François MontagneDepartment of General and Thoracic Surgery, Rouen University Hospital, Normandy, France.
Matthieu SarsamDepartment of General and Thoracic Surgery, Rouen University Hospital, Normandy, France.
Benjamin BottetDepartment of General and Thoracic Surgery, Rouen University Hospital, Normandy, France.
Philippe RinieriDepartment of General and Thoracic Surgery, Rouen University Hospital, Normandy, France.
Andre GillibertDepartment of Epidemiology and Public Health, Rouen University Hospital, Normandy, France.
Jean Marc BasteDepartment of General and Thoracic Surgery, Rouen University Hospital, Normandy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur goal was to report our midterm results using imaging-assisted modalities with robotic segmentectomies for non-small-cell lung cancer (NSCLC).

methodsThis was a retrospective study of all robotic segmentectomies, with confirmed NSCLC, performed at our general and thoracic surgery unit in the Rouen University Hospital (France), from January 2012 through December 2019. Benign and metastatic lesions were excluded. Data were extracted from the EPITHOR French nationwide database.

resultsA total of 121 robotic segmentectomies were performed for 118 patients with a median age of 65 (interquartile range: 60, 69) years. The majority had clinical stage T1aN0M0 (71.9%) or T1bN0M0 (13.2%). The mean (standard deviation) number of resected segments was 1.93 (1.09) with 80.2% imaging-assisted segmentectomies. Oriented (according to tumour location) or systematic lymphadenectomy or sampling was performed for 72.7%, 23.1% and 4.1% of patients. The postoperative course was uneventful for 94 patients (77.7%), whereas 34 complications occurred for 27 patients (22.3%), including 2 patients (1.7%) with Clavien-Dindo ≥III complications. The mean thoracic drainage duration was 4.12 days, and the median hospital stay was 4 days (interquartile range: 3, 5) after the operation. The 2-year survival rate was 93.9% (95% confidence interval: 86.4-97.8%). Excluding stage IV (n = 3) and stage 0 tumours (n = 6), the 2-year survival rate was 95.7% (95% confidence interval: 88.4-98.8%) compared to an expected survival rate of 94.0% according to stage-specific survival rates found in a large external reference cohort.

conclusionsImaging-guided robotic-assisted thoracic surgery segmentectomy seems to be useful and oncological with good midterm results, especially for patients with early-stage NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRobotic Surgical ProceduresHumansLungMastectomy, SegmentalPneumonectomyRetrospective StudiesThoracic Surgery, Video-AssistedMidterm survivalNon-small-cell lung cancerRobotic surgerySegmentectomy

Identifiers

PMID34687546
PMCPMC9159455

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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.