Evidence map›Paper›PMID 41720155›Full record

ArticleThoracic cancer2026

Dual Suturing Technique Without Tying for Closure of the Bronchial Stump in Robotic Surgery.

Daisuke Ito, Shinji Kaneda, Teruhisa Kawaguchi, Koji Kawaguchi

Abstract read
In one paragraph

Article in Thoracic cancer, 2026. 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
–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

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.

Daisuke ItoDepartment of Thoracic Surgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.ORCID https://orcid.org/0009-0009-2940-4803
Shinji KanedaDepartment of Thoracic Surgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.ORCID https://orcid.org/0000-0003-2035-4335
Teruhisa KawaguchiDepartment of Thoracic Surgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.ORCID https://orcid.org/0009-0002-8743-0718
Koji KawaguchiDepartment of Thoracic Surgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.ORCID https://orcid.org/0000-0002-5986-9419

Funding

Grants-in-Aid for Scientific Research (C) 25K12127
6 · The paper itself

Abstract

In lung cancer surgery, when tumors are present in the branches of the bronchus, it may be appropriate to perform suture closure by sharply separating the bronchus, rather than using an autosuture device to ensure adequate margins. While RATS simplifies needle handling compared to VATS, ligation remains challenging due to the lack of tactile feedback. To ensure closure of the bronchial segment by ligation in robotic surgery, we started a preliminary study to use dual barbed sutures that do not require ligation and clips for ligature fixation after the approval from the Ethics Committee of Mie University Hospital. We performed this procedure in five patients from January 2024 to present. Postoperative bronchoscopy, performed in four of the five patients, confirmed the bronchial stump was well closed in all cases, with no evidence of bronchopleural fistula (BPF). However, two patients experienced prolonged hospitalization due to midlobar torsion and prolonged air leakage requiring pleurodesis, respectively. The preliminary results suggest that this novel technique provides reliable bronchial stump closure in RATS. We plan to conduct a larger cohort study with long-term follow-up to further confirm the safety and long-term BPF rate.

Indexed as

BronchiLung NeoplasmsRobotic Surgical ProceduresSuture TechniquesAgedFemaleHumansMaleMiddle Agedbarbed suturebronchial stump closurebronchopleural fistulaRATS

Identifiers

PMID41720155
PMCPMC12928061

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.