Patients’ attitudes and preferences toward delayed disease progression in the absence of improved survival
Bibliographic record
Abstract
BACKGROUND: Cancer patients' attitudes toward progression-free survival (PFS) gains offered by treatment are not well understood, particularly in the absence of overall survival (OS) gains. The objectives were to describe patients' willingness to accept treatment that offers PFS gains without OS gains, to compare these findings with treatments offering OS gains, and to qualitatively summarize patients' reasons for their preferences. METHODS: A multicenter, cross-sectional, convergent mixed-methods study design recruited patients who had received at least 3 months of systemic therapy for incurable solid tumors. A treatment trade-off exercise determined the gains in imaging PFS that patients require to prefer additional systemic treatment for a scenario of a newly diagnosed, asymptomatic, incurable abdominal tumor. A qualitative, descriptive, thematic analysis explored factors influencing patients' decisions, and a narrative method integrated the quantitative and qualitative findings. RESULTS: In total, 100 patients participated (63% were older than 60 years of age). If additional treatment with added toxicity offered no OS advantage, 17% would prefer it for no PFS benefit; 26% for some PFS benefit (range, 3-9 months), whereas 51% would decline it regardless of PFS benefit. Similarly, 71% preferred additional treatment offering a 6-month OS advantage dependent on described toxicity levels (P = .03). A spectrum of reasons for these preferences reflected the complexity of participants' attitudes and values. CONCLUSIONS: Prolongation of time to progression was not universally valued. Most patients did not prefer treatments that negatively affect quality of life for PFS gains alone. Implications for individual decision making, policy, and trials research are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".