Impact of baseline characteristics on extensive‐stage SCLC patients treated with etoposide/carboplatin: A secondary analysis of a phase III study
Bibliographic record
Abstract
BACKGROUND: The purpose of the current study is to investigate the impact of baseline characteristics on the outcomes of extensive-stage small cell lung cancer (SCLC) patients recruited into a clinical trial. METHODS: This is a secondary analysis of the control arm (etoposide/carboplatin arm) of the 'NCT00363415' study which is a phase III study conducted between 2006 and 2007. Univariate analysis of factors affecting overall and progression-free survival (PFS) was conducted through Cox regression analysis [including age, race, gender, Eastern Cooperative Oncology Group performance score, body mass index, Lactate dehydrogenase, number of metastatic sites and brain metastases]. Factors with P < .05 in the univariate analysis were then included in the multivariate analysis. RESULTS: All patients within the control arm (etoposide/carboplatin) were included in the analysis (N = 455 patients). The following factors were predictive of worse overall survival (OS) in univariate analysis (P < .05): performance score = 2, LDH > upper limit of normal and ≥3 metastatic sites. Multivariate Cox regression analysis incorporating these three factors showed that only number of metastatic sites predicts worse OS (P < .0001). Likewise, the following factors were associated with worse PFS in univariate analysis (P < .05): performance score = 2 and ≥ 3 metastatic sites predict worse PFS (P < .05). Multivariate analysis incorporating these two factors showed that only number of metastatic sites predicts worse PFS (P < .0001). CONCLUSION: Number of metastatic sites is the most important predictive factor for overall and PFS among patients with extensive-stage SCLC treated with systemic chemotherapy within a clinical trial.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".