Real‐world chemotherapy treatment patterns in metastatic non–small cell lung cancer: Are patients undertreated?
Bibliographic record
Abstract
BACKGROUND: New therapies for metastatic non-small cell lung cancer (NSCLC) have improved survival in clinical trials. However, only a minority of patients receive systemic therapy. This article reports treatment patterns and outcomes for a population of Canadian patients with metastatic NSCLC (Ontario). METHODS: Patients diagnosed with stage IV NSCLC from 2005 to 2009 were identified through multiple linked provincial databases. Patient demographics, systemic treatment, and survival were examined over time. RESULTS: Metastatic NSCLC patients (n = 8113) were identified. The median age was 68 years; 39% had adenocarcinoma, 14% had squamous carcinoma, and a higher than expected proportion (43%) had NSCLC not otherwise specified. Only 24% the patients received first-line chemotherapy; only 31% of these received second-line chemotherapy. More patients received systemic therapy over time (from 19% in 2005 to 26% in 2009, P < .0001). Patients who were less than 70 years old or had adenocarcinoma were more likely to receive systemic therapy (P < .0001 for both). The median survival, regardless of age, for those selected to receive first-line cisplatin-gemcitabine chemotherapy was longer than that for those receiving other nonpemetrexed platinum doublets at 11.6 months (P = .0002). Patients with nonsquamous histology who were treated with second-line pemetrexed had longer median survival than those treated with docetaxel (19.8 vs 14.1 months, P < .0001). CONCLUSIONS: Most patients with metastatic NSCLC in the general population still do not receive systemic therapy. Those selected for first- and second-line systemic treatment, including older patients, have survival outcomes comparable to clinical trial results. Older patients and patients with squamous histology are less likely to receive chemotherapy. The low levels of treatment utilization in this study warrant further investigation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".