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Record W2756270509 · doi:10.21037/vats.2017.08.18

Management of perioperative complications during uniportal video-assisted thoracoscopic surgery

2017· article· en· W2756270509 on OpenAlexaff
Guilherme Dal Agnol, Etienne Bourdages-Pageau, Íñigo Royo-Crespo, Paula A. Ugalde

Bibliographic record

VenueVideo-Assisted Thoracic Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsInstitut Universitaire de Cardiologie et de Pneumologie de QuébecUniversité Laval
Fundersnot available
KeywordsMedicinePerioperativeSurgeryVideo-assisted thoracoscopic surgeryPort (circuit theory)General surgery

Abstract

fetched live from OpenAlex

Abstract: Video-assisted thoracoscopic surgery (VATS) using a single port may improve postoperative pain control and shortened recovery time. In this review, we discuss the most common perioperative complications of uniportal VATS, management of these complications, and outcomes in patients who underwent anatomic lung resection using uniportal VATS at our institution. Bleeding from vascular injuries and prolonged air leaks are the most problematic perioperative complications of anatomic lung resections using uniportal VATS. Proper management of the lung and vessels and preventive measures during complex cases are essential safety measures. Published series have shown at least equivalent safety between uniportal VATS and VATS with multiple ports when uniportal VATS is performed by an experienced surgeon.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.358
Teacher spread0.297 · 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 designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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