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Record W4283695144 · doi:10.21037/tlcr-22-406

Intraoperative methods for wrapping anastomoses after airway reconstruction: a case series

2022· article· en· W4283695144 on OpenAlexaff
Chudong Wang, Junguo Dong, Xiaoxue Zhuang, Chao Yang, Hanzhang Chen, Terunaga Inage, Jeffrey B. Velotta, Alessandro Brunelli, Takahiro Homma, Norihisa Shigemura, Hon Chi Suen, Jianxing He, Shuben Li

Bibliographic record

VenueTranslational Lung Cancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineAnastomosisSurgeryAirwayDehiscenceStenosisRadiology

Abstract

fetched live from OpenAlex

Background: Anastomosis management is the main challenge of airway resection and reconstruction, and postoperative anastomotic complications, including ischemia, stenosis, dehiscence, and separation may lead to severe outcomes and a poor prognosis. The anastomotic buttress is vital in airway reconstruction, but the selection of surgical buttress and reinforcement remains controversial. We aimed to demonstrate and evaluate the buttress options of anastomosis, including their preoperative characteristics, the intraoperative process, and the incidence of postoperative complications to help address the controversy regarding anastomosis management. Methods: This retrospective study was conducted at a single institution. Patients who underwent airway reconstruction with anastomotic wrapping from Jan. 2019 to Sep. 2021 were enrolled in this study and preoperative characteristics and operational features were collected. All patients were carefully followed up by telephone and outpatient. Their postoperative complications and postoperative status after 6 months were recorded. The surgical procedures and clinical characteristics of the buttress options of anastomosis were assessed. Results: A total of 62 patients undergoing either cervical tracheal, thoracic tracheal, carinal, or secondary carinal and main bronchus resection and reconstruction were evaluated. The anastomotic buttress used included mediastinal pleural flap (24/62, 38.7%), anterior cervical muscle (14/62, 22.6%), sternocleidomastoid (2/62, 3.2%), thymus flap (12/62, 19.4%), intercostal muscle flap (2/62, 3.2%), biological patch (2/62, 3.2%), prepericardial fat (1/62, 1.6%), thyroid gland (1/62, 1.6%), pectoralis major flap (2/62, 3.2%), and omental flap (2/62, 3.2%). All procedures produced satisfactory results without short-term anastomotic complications. A follow-up for 6 months was conducted and all patients were alive postoperatively. Tracheomalacia stenosis postoperatively occurred in 3 patients and they were subsequently treated with an endotracheal stent. One patient had tumor recurrence 3 months after surgery and received adjuvant chemotherapy. Conclusions: Various anastomotic wrapping materials are used in airway reconstruction. Different utilizations of buttress are selected according to the anatomic characteristics and the reconstruction method used. This study indicated that appropriate surgical buttresses for wrapping anastomoses are legitimate alternatives to reduce the risk of anastomotic complications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.477
Teacher spread0.404 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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