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Record W3163493134 · doi:10.21037/ccts-20-139

Management of stage IIIA non-small cell lung cancer (NSCLC): role of the chemotherapy

2021· article· en· W3163493134 on OpenAlexaboutno aff
Nathalie Baudoux, Alex Friedlaender, Alfredo Addeo

Bibliographic record

VenueCurrent Challenges in Thoracic Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLung cancerStage (stratigraphy)AdenocarcinomaOncologyContext (archaeology)Internal medicineChemotherapyRadiation therapyCancerIncidence (geometry)

Abstract

fetched live from OpenAlex

Lung cancer is the leading cause of cancer-related death, with an incidence that continues to increase in both sexes and all ages. Roughly 80-90% of lung cancers are non-small cell lung cancer (NSCLC), the remaining 10-20%, small cell lung cancer (SCLC), has seen its frequency going down globally over the two past twenty years. Adenocarcinoma is the most common histologic subtype of lung cancer in men and women in US, Canada, many European countries and Japan. Nearly 30% of patients with (NSCLC) will get diagnosed with early-stage (I-IIIA) and in spite of radical surgery the survival remains rather poor. Stage IIIA NSCLC is a very heterogeneous group, encompassing small primary T1a tumors with mediastinal lymph nodes (N2) to locally advanced T4 disease with or without any nodal involvement. Treatment remains challenging hence the need for a multidisciplinary management for all these cases. Oncologist, radiation oncologist and surgeon are essential to deliver the best possible care in this context. Here we have reviewed the evidence about the management of stage IIIA, with particular emphasis on the chemotherapy treatment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.052
GPT teacher head0.350
Teacher spread0.298 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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