Local Ablative Therapies in Oligometastatic NSCLC: New Data and New Directions
Bibliographic record
Abstract
The oligometastatic and oligoprogressive disease states have been recently recognized as common clinical scenarios in the management of non-small cell lung cancer (NSCLC). As a result, there has been increasing interest in treating these patients with locally ablative therapies including surgery, conventionally fractionated radiotherapy, stereotactic ablative radiotherapy, and radiofrequency ablation. This article provides an overview of oligometastatic and oligoprogressive disease in the setting of NSCLC and reviews the evidence supporting ablative treatment. Phase II randomized controlled trials and retrospective series suggest that ablative treatment of oligometastases may substantially improve progression-free survival and overall survival, and additional large randomized studies testing this hypothesis in a definitive context are ongoing. However, several challenges remain, including quantifying the possible benefits of ablative therapies for oligoprogressive disease and developing prognostic and predictive models to assist in clinical decision making.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".