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Record W4235951270 · doi:10.3747/co.26.4096

Perspectives on treatment advances for stage III locally advanced unresectable non-small-cell lung cancer

2019· article· en· W4235951270 on OpenAlexvenueno aff
P. K. Cheema, J. Rothenstein, B. Melosky, A. Brade, V. Hirsh

Bibliographic record

VenueCurrent Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsnot available
FundersU.S. Food and Drug AdministrationAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsDurvalumabMedicineOncologyLung cancerRadiation therapyInternal medicineChemotherapyStage (stratigraphy)Clinical trialCancerImmunotherapyNivolumab

Abstract

fetched live from OpenAlex

For more than a decade, there has been no improvement in outcomes for patients with unresectable locally advanced (la) non-small-cell lung cancer (nsclc). The standard treatment in that setting is definitive concurrent chemotherapy and radiation (ccrt). Although the intent of treatment is curative, most patients rapidly progress, and their prognosis is poor, with a 5-year overall survival (os) rate in the 15%–25% range. Those patients therefore represent a critical unmet need, warranting expedited approval of, and access to, new treatments that can improve outcomes. The pacific trial, which evaluated durvalumab consolidation therapy after ccrt in unresectable la nsclc, demonstrated a statistically significant and clinically meaningful improvement in progression-free survival (pfs) and a significant improvement in os. Durvalumab thus fills a critical unmet need in the setting of unresectable la nsclc and provides a new option for patients treated with curative intent. Here, we review the treatment of unresectable la nsclc, with a focus on the effect of the clinical data for durvalumab.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score1.000

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)0.0010.000

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 head0.042
GPT teacher head0.411
Teacher spread0.369 · 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 designNot applicable
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

Citations44
Published2019
Admission routes1
Has abstractyes

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