Outcomes of patients receiving urgent palliative radiotherapy for advanced lung cancer: an observational study
Bibliographic record
Abstract
There is considerable variability in the management of patients with advanced lung cancer referred for palliative radiotherapy owing to uncertainties in prognosis and the benefit of treatment. This study presents the outcomes of patients seen in the Fast Track Lung Clinic, an urgent access palliative radiotherapy clinic, and aims to identify factors associated with treatment response and survival. Consecutive patients with advanced lung cancer seen in the Fast Track Lung Clinic between January 2014 and July 2020 were included. Patients who underwent radiotherapy were contacted beginning 30 days after radiotherapy to evaluate treatment response. Cluster bootstraps were used to compute confidence intervals for treatment response rate. Prognostic factors for treatment response and overall survival were identified using multivariable generalized estimating equations and Cox regression models, respectively. A total of 558 patients were included, of whom 459 (82.3%) consented to palliative radiotherapy for 1053 indications. The overall treatment response rate was 70.0% (95% CI, 65.8-74.2) for indications with follow-up (70.8%). Higher response rates were observed in patients with better ECOG performance status (OR per point, 0.71; 95% CI, 0.55-0.93; $$P=0.01$$ ) and EGFR-mutant non-small cell lung cancer (OR vs wild-type, 2.46; 95% CI, 1.35-4.51; $$P=0.003$$ ), whereas patients treated for neurological symptoms had lower response rates (OR, 0.27; 95% CI, 0.16-0.45; $$P<0.001$$ ). There was no difference in response rate between patients who died within 30 days of starting radiotherapy and those who survived longer (OR, 0.83; 95% CI, 0.42-1.67; $$P=0.61$$ ). Age; ECOG performance status; smoking history; pathology; EGFR or ALK mutation status; and the presence of liver, adrenal, or brain metastases were associated with overall survival. Palliative radiotherapy was effective for patients with advanced lung cancer, although response rates varied by patient characteristics and treatment indication. This study identified prognostic factors for radiotherapy response and overall survival that can inform treatment decisions in this population.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".