CNS Metastases in Epidermal Growth Factor Receptor Mutation–Positive Non–Small-Cell Lung Cancer: Impact on Health Resource Utilization
Bibliographic record
Abstract
PURPOSE: Patients with epidermal growth factor receptor (EGFR) mutation-positive (EGFRm) non-small-cell lung cancer commonly experience disease progression in the CNS. Here, we assess the impact of CNS disease on resource utilization and outcomes in patients who are EGFRm. METHODS: We completed a retrospective review of all advanced patients who were EGFRm, referred to BC Cancer, and treated with a first- and/or second-generation EGFR tyrosine kinase inhibitor from 2010 to 2015. Baseline characteristics, systemic treatment, and CNS management were collected. We compared health resource utilization (HRU) between patients with CNS-negative disease and those with CNS metastases from the median time of CNS metastases diagnosis to death or last follow-up (9.1 months) and at 9 months preceding death or last follow-up for the CNS-negative group. RESULTS: Four hundred ninety-nine patients were referred, of which 68% were female; 51% were of Asian ethnicity; and 57%, 37%, and 6% were exon 19, 21, or other, respectively; with a median age of 66 years. Two hundred twenty-nine (46%) of 499 patients developed CNS metastases-39% at diagnosis and 61% over the course of disease. CNS metastases were managed with surgery with or without whole-brain radiotherapy (WBRT; 13%) WBRT alone (73%), stereotactic radiosurgery with or without WBRT (5%), or no CNS-directed therapy (9%). The median time from the development of CNS metastases diagnosis to death was 9.1 months. CNS-negative patients used less HRU versus patients that were CNS-positive in the 9 months preceding death or last follow-up-in the average number of clinic visits (8.53 v 12.71, respectively; P < .001), hospitalizations (0.43 v 0.76, respectively; P < .001), CNS imaging investigations (0.52 v 2.65, respectively; P < .001), emergency room visits (0.03 v 0.14, respectively; P = .001), palliative care unit admission (8% v 10%, respectively; P = .64), and hospice admission (3% v 19%, respectively; P < .001). CONCLUSION: The incidence of CNS metastases in patients with EGFRm is high and associated with increased HRU. Prevention or delay of CNS metastases with newer systemic therapy options may translate into lower resource utilization.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".