Evidence map›Paper›PMID 42752853›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2026

Robotic Bronchial Restapling After Inadvertent Stapling of an Endobronchial Suction Tube: Technical Note and a Prestapling Time-Out.

Sang Yun Song, Kyo Seon Lee, Kook Joo Na, Ju Sik Yun

Abstract readCase Reports
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Sang Yun SongDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun-eup, Jeollanam-do 58128, Republic of Korea.
Kyo Seon LeeDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju 61469, Republic of Korea.
Kook Joo NaDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun-eup, Jeollanam-do 58128, Republic of Korea.
Ju Sik YunDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun-eup, Jeollanam-do 58128, Republic of Korea.ORCID 0000-0002-5167-3454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foreign body entrapment during bronchial stapling is rare but may result in severe airway injury. We report an unusual intraoperative complication during robot-assisted thoracic surgery (RATS) lobectomy: inadvertent stapling of an endobronchial suction tube into the right lower lobe (RLL) bronchus, successfully managed robotically without conversion. A 65-year-old woman with clinical stage I lung adenocarcinoma underwent RATS RLL lobectomy with mediastinal lymph node dissection. During bronchial division, an endobronchial suction tube used to facilitate lung deflation was incorporated into the staple line. The tube was removed through limited resection of the involved bronchial stump segment, followed by traction-suture-assisted restapling. The postoperative course was uneventful, and 1-year follow-up showed no atelectasis and a patent right middle lobe bronchus with mild narrowing. When an adequate bronchial margin remains, robotic bronchial restapling may provide a feasible rescue option without conversion. A focused "pre-stapling time-out" to confirm the removal of endobronchial adjuncts may help prevent similar events.

Indexed as

AdenocarcinomaBronchiBronchoscopyForeign BodiesLung NeoplasmsPneumonectomyRobotic Surgical ProceduresSurgical StaplingAdenocarcinoma of LungAgedFemaleHumansLymph Node ExcisionSuctionTreatment Outcomebronchusintraoperative complicationlobectomyrobotic surgery

Identifiers

PMID42752853
PMCPMC13661258

What OpenQuestion holds

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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.