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Record W2793392630 · doi:10.21037/jovs.2018.03.09

Extended uniportal video-assisted thoracic surgery for lung cancer: is it feasible?

2018· review· en· W2793392630 on OpenAlexaff
Íñigo Royo-Crespo, Arthur Vieira, Paula A. Ugalde

Bibliographic record

VenueJournal of Visualized Surgery · 2018
Typereview
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsInstitut Universitaire de Cardiologie et de Pneumologie de QuébecUniversité Laval
Fundersnot available
KeywordsMedicinePneumonectomySurgeryCardiothoracic surgeryLung cancerPort (circuit theory)Stage (stratigraphy)General surgeryResectionOncology

Abstract

fetched live from OpenAlex

Since the first description of uniportal video-assisted thoracic surgery (U-VATS) (or single-port) lobectomy, several centers in Asia and Europe rapidly adopted this technique as a standard approach for treatment of early stage non-small cell lung cancer (NSCLC). Despite the controversies regarding feasibility and completeness of resection, thoracic surgeons in high volume centers keep pushing the limits to perform very complex procedures also known as "extended resections" through minimally invasive surgery. Published series and case reports confirm the viability of U-VATS in highly complex surgical cases such as pneumonectomy, chest wall resection and bronchoplasty, which require experience and technical ability to be performed through a 3-6 cm single incision. In this article, the authors would like to present several clinical indications of locally advanced NSCLC and the technical aspects to accomplish an extended resection through U-VATS.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.145
GPT teacher head0.502
Teacher spread0.357 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2018
Admission routes1
Has abstractyes

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