Patient-Defined Goals and Preferences Among Adults With Advanced Neuroendocrine Tumors.
Bibliographic record
Abstract
BACKGROUND: Patient preferences (quantity vs quality of life; present vs future health) have not been investigated in patients with neuroendocrine tumors (NETs). The goal of this cross-sectional study was to evaluate patient values toward treatment goals and competing health outcomes among adults with NETs. PATIENTS AND METHODS: Patients with well-differentiated, grade 1 or 2, advanced NETs starting a new systemic therapy completed 4 tools: (1) Health Outcomes Tool, which ranks the importance of 4 outcomes (survival, function/independence, freedom from pain, freedom from symptoms); (2) Attitude Scale, which identifies the extent to which patients agree with statements related to health outcomes; (3) Now versus Later Tool, which ranks the relative importance of quality of life (QoL) now versus 1 and 5 years from now; and (4) Prognosis and Treatment Perceptions Questionnaire, which identifies the amount of information the patient prefers to receive about their disease and treatment, the patient's treatment goal, the patient's perception of the physician's treatment goal, and self-reported health status. RESULTS: We recruited 60 patients with NETs (50.0% aged ≥65 years; 96.7% with stage IV disease). Primary tumor locations included the gastrointestinal tract (41.7%), pancreas (30.0%), and lung (21.7%). A plurality of patients reported maintaining independence as their most important health outcome (46.7%), followed by survival (30.0%), freedom from pain (11.7%), and freedom from symptoms (11.7%). A total of 67% of patients agreed with the statement, "I would rather live a shorter life than lose my ability to take care of myself"; 85.0% agreed with the statement, "It is more important to me to maintain my thinking ability than to live as long as possible." When asked to choose between current QoL versus QoL 1 year or 5 years in the future as more important, 48.3% and 40.0% of patients valued their QoL 1 year and 5 years in the future, respectively, more than their current QoL. Only 51.7% of patients believed their physician's treatment goals aligned with their own. CONCLUSIONS: Adult patients with NETs strongly value independence over survival. More communication between patients with NETs and their physicians is needed to ensure that patient preferences are incorporated into treatment plans.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".