Evidence map›Paper›PMID 40223998›Full record

ArticleJournal of thoracic disease2025

Implementation of a robotic-assisted thoracic surgery program for anatomical lung resections, a single surgeon's experience.

Andreas Westerlind, Maya Landenhed-Smith, Carl-Johan Malm, Göran Dellgren

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Andreas WesterlindDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Maya Landenhed-SmithDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Carl-Johan MalmDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Göran DellgrenDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assisted thoracic surgery (RATS) for pulmonary resections has been reported to be a safe and feasible method with similar outcomes to those of video-assisted thoracic surgery (VATS). In 2021 our department launched a RATS program. The aims of this study are to evaluate the initial results and learning curve of a series of RATS procedures performed by a single surgeon experienced in uniportal video-assisted thoracic surgery (uVATS) during an initial period of access to the robotic platform limited to two cases per week. Methods: A retrospective study including consecutive RATS and uVATS lobectomies performed by a single surgeon from November 2021 to September 2023 at Sahlgrenska University Hospital. Endpoints were days with chest tube (CT), length of stay (LOS) and intraoperative learning curve as reflected in the duration of procedures. Results: A total of 82 RATS and 60 uVATS consecutive lobectomies were included. Preoperative demographics were similar in the RATS and uVATS groups. Preoperative assessment of tumour size from computed tomography scans were larger in the uVATS group than in the RATS group [25 (18.00-39.00) Conclusions: RATS is a feasible method for lobectomy and can be efficiently introduced as a standard surgical approach even with limited access to the robotic surgical platform, with a learning curve of approximately 44 cases.

Indexed as

learning curvelobectomyRobotic-assisted thoracic surgery (RATS)uniportal video-assisted thoracic surgery (uVATS)video-assisted thoracic surgery (VATS)

Identifiers

PMID40223998
PMCPMC11986765

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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.