Adjuvant chemotherapy outcome in unselected single-center non-small cell lung cancer (NSCLC) population.
Bibliographic record
Abstract
e20089 Background: Adjuvant chemotherapy with Cisplatinum/Vinorelbine is an established regimen since a decade in selected resected NSCLC population in order to improve DFS and overall survival. However, the outcome of patients treated outside the research protocols is not as good as in clinical trials. Methods: We retrospectively reviewed 209pts resected stage I to III NSCLC patients using our SARDO database, treated in our University hospital between 2006 and 2015 with a median follow-up of 13mos. Any adjuvant chemotherapy was recorded. Results: Amongst 209 resected NSCLC patients, 185pts (89%) had negative margins and 24pts (11%) have positive margins resection. The observation group and the chemotherapy group in both settings were well-balanced in terms of demographic, co-morbidities and tumor characteristics. As expected, the median overall survival (mOS) in negative margins was significantly better than in positive margins patients (43mos vs 24mos p = 0.029). In negative margins patients, no survival benefit was seen in stage I (A and B) (57 mos for chemo group vs 77 mos for observation group p = 0,217) and stage III (A and B) (39mos mOS for chemo group vs 40mos for observation group, p = 0.37), but a trend for improved mOS was seen in stage II (52 mos for chemo group vs 38 mos for observation group, p = 0.114), also consistent with mPFS results for each group. However, for the small number of patients with positive margins, a significant improvement in survival was seen in chemotherapy arm (mOS 37mos) compared to observational arm (mOS 11mos p = 0,039). No significant difference in survival was seen between Carbo/Taxol regimen and Cisplatinum/Vinorelbine regimen (43 mos vs 38 mos p = 0,658). Conclusions: In our unselected population, adjuvant chemotherapy did not show the improvement in survival expected with margin negative resected NSCLC. In positive resected NSCLC, adjuvant chemotherapy benefit was statistically significant, emphasizing need to treatment to these patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".