Evidence map›Paper›PMID 35572887›Full record

ArticleJournal of thoracic disease2022

Clinical and bronchoscopic aspects of bronchial healing after sleeve resection for lung cancer: a multivariate analysis on 541 cases.

Alberto Lopez-Pastorini, Christoph Eckermann, Aris Koryllos, Thomas Galetin, Corinna Ludwig, Michaela Hammer-Hellmig, Erich Stoelben

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

7 authors.

Alberto Lopez-Pastorini *Department of Thoracic Surgery, Lung Clinic Merheim, Hospital of Cologne, University of Witten-Herdecke, Cologne, Germany.
Christoph Eckermann *Department of Thoracic Surgery, Lung Clinic Merheim, Hospital of Cologne, University of Witten-Herdecke, Cologne, Germany.
Aris KoryllosDepartment of Thoracic Surgery, Lung Clinic Merheim, Hospital of Cologne, University of Witten-Herdecke, Cologne, Germany.
Thomas GaletinDepartment of Thoracic Surgery, Lung Clinic Merheim, Hospital of Cologne, University of Witten-Herdecke, Cologne, Germany.
Corinna LudwigDepartment of Thoracic Surgery, Florence Nightingale Hospital, Düsseldorf, Germany.
Michaela Hammer-HellmigDepartment of Radio-oncology, Hospital of Cologne, University of Witten-Herdecke, Cologne, Germany.
Erich StoelbenDepartment of Thoracic Surgery, Lung Clinic Merheim, Hospital of Cologne, University of Witten-Herdecke, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anastomotic insufficiency is a feared complication after sleeve lobectomy. Bronchoscopy can help to identify anastomoses at risk. We evaluated negative predictors of anastomotic healing using a bronchoscopic grading system in a large collective of lung cancer patients. Methods: From 2006 to 2019, 541 sleeve lobectomies for lung cancer were performed. Anastomotic healing was documented by bronchoscopy on the seventh postoperative day using a standardized classification system for anastomotic grading (grade 1, perfect healing to 5, insufficiency). Grade 1 and 2 were considered satisfactory and the patients were discharged. Grade 3 or higher was considered critical. These patients received systemic antibiotic treatment and re-bronchoscopy was performed 4 days later. Results: In 18.5% of the patients, the anastomosis was assessed as critical. 19% of patients with critical anastomosis on the 7th postoperative day developed anastomotic insufficiency during the postoperative course, compared to 0.2% in patients with satisfactory anastomotic healing. Bilobectomies, low preoperative forced expiratory volume in 1 second (FEV1) values, high preoperative levels of C-reactive protein and neoadjuvant radiation were identified as independent risk factors for critical anastomotic healing. Conclusions: Bronchoscopic assessment of anastomotic healing is an effective tool to identify critical anastomoses. Neoadjuvant radiation, bilobectomies and acute or chronic inflammation were independent risk factors for bronchial healing disorders and should be considered at the planning stage of surgery.

Indexed as

anastomotic insufficiencybronchoscopySleeve lobectomy

Identifiers

PMID35572887
PMCPMC9096294

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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.