Does NSCLC patient-rated performance status predict survival more accurately than physician ratings?
Bibliographic record
Abstract
9022 Background: The Eastern Cooperative Oncology Group (ECOG) score is a well known predictor of survival, which impacts on treatment decisions. Patient (pt) rated activity level, using the Patient Generated Subjective Global Assessment (PG-SGA) scale, is identical in criteria to the ECOG scale used by physicians. We compared the patient rated activity level (Pt-PS) to physician rated PS (MD-PS), at baseline, and evaluated survival with respect to the 2 PS ratings. Methods: Pts with newly diagnosed advanced NSCLC (stages 3–4) completed a PG-SGA self rated questionnaire, which was then compared to the physician-generated ECOG score recorded prior to any treatment using a Wilcoxon signed rank test. Pts were treated with standard chemotherapy. Survival analysis was performed using a Kaplan Meier analysis and Cox regression. Results: 92 pts (M: F-48:44) with a mean age of 65 years (39–83) were included. 67 (73%) presented with stage 4 disease. 62 (67%) had an MD-PS of 0–1, whereas only 51 (55%) had a Pt-PS of 0 -1. MD-PS 3–4 was seen in 9 (10%), compared to 28 (30%) by Pt-PS. Pt-PS was significantly different from MD-PS in 48% of scores (p=0.003). When scores were not congruent, 29/44 (66%) pts evaluated themselves as having a worse PS than the physician. Survival analysis demonstrated that stage and functional status irrespective of method of reporting was predictive of survival (p=0.01 for MD-PS and p=0.001 for Pt-PS). However, when comparing median survival by method of performance status evaluation, Pt-PS was associated with superior stratification of survival than MD-PS ( table 1 ). Conclusions: Pt-PS and MD-PS are not congruent almost 50% of the time. Pt-PS allows for better stratification of survival and should be further evaluated in prospective trials. No significant financial relationships to disclose. [Table: see text]
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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 | 0.003 | 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".