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Record W1729311299 · doi:10.1111/resp.12567

<scp>MDT</scp> lung cancer care: Input from the <scp>S</scp>urgical <scp>O</scp>ncologist

2015· review· en· W1729311299 on OpenAlexaff
Biniam Kidane, Shinichi Toyooka, Kazuhiro Yasufuku

Bibliographic record

VenueRespirology · 2015
Typereview
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineLung cancerBiopsyLungRadiologyStage (stratigraphy)Surgical resectionCancerLung cancer screeningLung biopsyOncologyInternal medicine

Abstract

fetched live from OpenAlex

Although there have been many advancements in the multidisciplinary management of non-small cell lung cancer (NSCLC), surgery remains the primary modality of choice for resectable lung cancer when the patient is able to tolerate lung resection physiologically. There have been recent advances in surgical diagnosis and treatment of lung cancer. Increasing use of low-dose computed tomography (CT) screening for lung cancer has resulted in increased detection of small peripheral nodules or semi-solid ground glass opacities. Here, we review different modalities of localization techniques that have been used to aid surgical excisional biopsy when needle biopsy has failed to provide tissue diagnosis. We also report on the current debates regarding the use of sublobar resections for Stage I NSCLC as well as the surgical management of locally advanced NSCLC. Finally, we discuss the complex surgical management of T4 NSCLC lung cancers.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.050
GPT teacher head0.379
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2015
Admission routes1
Has abstractyes

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