Evidence map›Paper›PMID 27134835›Full record

ArticleAnnals of cardiothoracic surgery2016

Uniportal video-assisted thoracoscopic surgery: safety, efficacy and learning curve during the first 250 cases in Quebec, Canada.

Gabrielle Drevet, Paula Ugalde Figueroa

Abstract read
In one paragraph

Article in Annals of cardiothoracic surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

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0cells of the map it votes in
30citing 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

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

30 citing papers in PubMed.

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  10. Current perspective on uniportal and multiportal video-assisted thoracic surgery during lobectomy for lung cancer.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2022
    Review
  11. Article
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  18. Uniportal VATS for non-small cell lung cancer.General thoracic and cardiovascular surgery · 2020
    Review
  19. Observational
  20. Article
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

2 authors.

Gabrielle DrevetDivision of Thoracic Surgery, Institut Universitaire de Pneumologie et Cardiologie de Quebec, Canada.
Paula Ugalde FigueroaDivision of Thoracic Surgery, Institut Universitaire de Pneumologie et Cardiologie de Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVideo-assisted thoracoscopic surgery (VATS) using a single incision (uniportal) may result in better pain control, earlier mobilization and shorter hospital stays. Here, we review the safety and efficiency of our initial experience with uniportal VATS and evaluate our learning curve.

methodsWe conducted a retrospective review of uniportal VATS using a prospectively maintained departmental database and analyzed patients who had undergone a lung anatomic resection separately from patients who underwent other resections. To assess the learning curve, we compared the first 10 months of the study period with the second 10 months.

resultsFrom January 2014 to August 2015, 250 patients underwent intended uniportal VATS, including 180 lung anatomic resections (72%) and 70 other resections (28%). Lung anatomic resection was successfully completed using uniportal VATS in 153 patients (85%), which comprised all the anatomic segmentectomies (29 patients), 80% (4 of 5) of the pneumonectomies and 82% (120 of 146) of the lobectomies attempted. The majority of lung anatomic resections that required conversion to thoracotomy occurred in the first half of our study period. Seventy patients underwent other uniportal VATS resections. Wedge resections were the most common of these procedures (25 patients, 35.7%). Although 24 of the 70 patients (34%) required the placement of additional ports, none required conversion to thoracotomy.

conclusionsUniportal VATS was safe and feasible for both standard and complex pulmonary resections. However, when used for pulmonary anatomic resections, uniportal VATS entails a steep learning curve.

Indexed as

lobectomyminimally invasive surgeryuniportalVideo-assisted thoracoscopic surgery (VATS)

Identifiers

PMID27134835
PMCPMC4827408

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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.