Phase I Study of a Decision Aid for Patients With Locally Advanced Non–Small-Cell Lung Cancer
Bibliographic record
Abstract
PURPOSE: Many patients with locally advanced non-small-cell lung cancer (LA-NSCLC) are eligible for combined-modality therapy (CMT; chemotherapy and radiotherapy). Although CMT offers slightly higher chances of survival than radiotherapy alone (RT), it also carries a higher probability of toxicity, raising the possibility that some patients may prefer to decline CMT. We report a pilot study of a decision aid designed for patients in this setting. PATIENTS AND METHODS: The aid included a structured description of the treatment options and trade-off exercises designed to help clarify the patient's values for the relevant outcomes by determining the patient's survival advantage threshold (SAT; the increase in survival conferred by CMT over RT that the patient deemed necessary for choosing CMT). Additional outcome measures included each patient's strength of treatment preference, decisional conflict, objective understanding of survival information, and decisional role preference. RESULTS: Twenty-seven patients met the eligibility criteria for the study. Of these, seven declined the decision aid because they had a clear treatment preference. The remaining 20 participants completed the decision aid; 18 chose CMT, and two chose RT. All 20 patients wished to participate in the decision to some extent. All patients reported that using the decision support was useful to them and recommended its use for others. No patient or physician reported that the aid interfered with the physician-patient relationship. Patients' 3-year SATs and median SATs were each strongly correlated with their strengths of treatment preference (rho = 0.83, P <.001 and rho = 0.67, P =.02, respectively). For all but one patient, either their 3-year or median survival threshold was consistent with their final treatment choice. Ten patients reported a stronger treatment preference after using the decision aid. CONCLUSION: We conclude that implementing the decision-aid for patients with LA-NSCLC is feasible, that it demonstrates convergent validity, and that it is favorably evaluated by patients and their physicians. The aid seems to help patients understand the benefits and risks of treatment and to choose the treatment that is most consistent with their values. Further evaluation of the aid is warranted.
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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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".