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The impact of brain metastases on overall survival (OS) in National Cancer Institute of Canada Clinical Trials Group (NCIC CTG) clinical trials (CT) in advanced non-small cell lung cancer (NSCLC)

2009· article· en· W2240377554 on OpenAlexaffabout
Penelope A. Bradbury, Philip Twumasi‐Ankrah, Keyue Ding, Natasha B. Leighl, G. Goss, Scott A. Laurie, Frances A. Shepherd, Lesley Seymour

Bibliographic record

VenueJournal of Clinical Oncology · 2009
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsOttawa HospitalQueen's UniversityUniversity of TorontoPrincess Margaret Cancer CentreUniversity of Ottawa
Fundersnot available
KeywordsMedicineInternal medicineLung cancerCohortClinical trialCarboplatinChemotherapy

Abstract

fetched live from OpenAlex

8075 Background: NSCLC patients (pts) with brain metastases (BMet) commonly are excluded from participating in clinical trials (CTs), based on perceptions of inferior outcomes. We evaluated the validity of this exclusion criterion, by investigating the OS of stage IV NSCLC pts with (BMet) and without (non-BMet) a prior history of BMet recruited to NCIC CTG CTs. Methods: This pooled analysis utilized data from BR.18 (paclitaxel/ carboplatin [PC] ± MMPI [BMS275291]), BR.21 (erlotinib vs. placebo), BR.24 (PC± VEGFR TKI [AZD2171]). Each trial permitted entry of pts with neurologically stable BMet, provided they had been treated and off corticosteroids (BR.24), or either treated or not but without corticosteroids (BR.18), or on a stable corticosteroid dose (BR.21). The primary end-point of these analyses was OS, evaluated in the pooled pt cohorts stratified by treatment arm, and in each trial individually. Results: Of 1,349 stage IV pts, 131 had a history of BMet. Of these, 103 (78%) pts had cranial radiation prior to randomization and 15 (11%) prior craniotomy. The median age of the BMet cohort was 56yrs vs. 61yrs for non-BMet cohort. There was no difference in baseline PS (BMet: PS 0–1 vs. 2 vs. 3 =74% vs. 21% vs.5%; non-BMet: 81% vs. 16% vs. 4%, p=0.16), weight loss (p=0.73) or hemoglobin (p=0.80) between the two cohorts. Female gender (41% vs. 33%, p=0.04) and adenocarcinoma (66% vs. 51%, p=0.005) was more common in the BMet cohort. There was no OS difference between the BMet and non-BMet cohort in the pooled analysis, stratified by trial (HR 1.05, 95%CI 0.85–1.28, stratified log-rank p=0.67), or in multivariate analysis adjusted for baseline covariates (AHR 1.12, 95%CI 0.91–1.37, p=0.31). There was also no OS difference between BMet and non-BMet pts when evaluated in each individual trial separately. Conclusions: Pts with a prior history of BMet have a similar OS to those pts without BMet in NSCLC in NCIC CTG CTs. In neurologically stable pts, BMet, should not be an exclusion criterion, while discontinuation or stable dose of corticosteroids appears a reasonable eligibility requirement. No significant financial relationships to disclose.

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)0.121
metaresearch head score (Gemma)0.091
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1210.091
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.264
GPT teacher head0.574
Teacher spread0.310 · 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 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
Published2009
Admission routes2
Has abstractyes

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