Characteristics of Short-Term Survivors With ALK or ROS1-Altered Metastatic NSCLC
Bibliographic record
Abstract
Introduction: + metastatic NSCLC (mNSCLC) remains unclear. As we consider intensification strategies, it is critical to identify factors that predict high-risk disease. Methods: + mNSCLC. Baseline characteristics and the cumulative incidence (CI) of brain and liver metastases were compared (≥2-year survivors versus <2-year; pre-2017 versus post-2017). Multivariable Cox proportional hazard models were used to evaluate the association between factors and overall survival, and multivariable logistic regression models were used for the odds of death within 2 years. Results: = 0.201). Conclusions: + mNSCLC, the presence of liver metastases at baseline and on-treatment was associated with worse survival. In the ALK+ population, the cumulative incidence of brain but not liver metastases is improving, highlighting a need for therapies effective at the treatment and prevention of liver metastases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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) | 0.000 | 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".