Prognostic relevance of angiogenesis in stage III NSCLC receiving multimodality treatment
Bibliographic record
Abstract
Compelling evidence indicates that microvessel density (MVD) is a prognostic marker in early nonsmall cell lung cancer (NSCLC). However, its role in lymph node metastases in stage III NSCLC receiving multimodality treatment is unknown. Lymph nodes of 142 patients with stage III NSCLC, treated in a trial of the German Lung Cancer Cooperative group, were evaluated for MVD. Median follow-up was 7.39 yrs. MVD was correlated with demographic and tumour-related variables and survival. MVD (median 33.9) did not correlate with survival. However, in multimodality-treated stage IIIA patients receiving tumour resection with negative margins (R0), those with a high MVD had significantly prolonged overall survival with a median of 4.96 yrs compared with 1.99 yrs for those with low MVD (p = 0.041). Cox regression analysis revealed that MVD was a prognostic factor in R0-resected stage IIIA (hazard ratio 0.417). Furthermore, a significant correlation of MVD to stage was observed, with significantly lower MVD in stage IIIA than IIIB (p = 0.0062), and a significant correlation of MVD to histological subtype was observed, with adenocarcinoma revealing the highest scores (p = 0.0001). Increased angiogenesis within lymph node metastases is a prognostic indicator for better survival in NSCLC patients. Thus, measurement of MVD might be useful in selecting patients for future neoadjuvant treatment decisions.
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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 | 0.000 | 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) | 0.001 | 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 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".