Cross‐sectional study of therapy‐related expectations/concerns of patients with metastatic renal cell carcinoma and physicians in Japan
Bibliographic record
Abstract
OBJECTIVE: To achieve patient-centricity in metastatic renal cell carcinoma (mRCC) treatment, it is essential to clarify the differences in perspectives between patients and physicians. This cross-sectional analysis of a web survey aimed to clarify the differences in expectations and concerns between mRCC patients and physicians regarding systemic mRCC therapy in Japan. METHODS: Surveys from 83 patients and 165 physicians were analyzed. RESULTS: The top three most significant differences in expectations of systemic therapy between patients and physicians (patient-based physician value) were "Chance of achieving treatment-free status" (-30.1%, p < 0.001), "Longer survival" (+25.8%, p < 0.001), and "Chance of eliminating all evidence of disease" (-25.6%, p < 0.001). The top three most significant differences in concerns for systemic therapy between patients and physicians (patient-based physician value) were "Lack of efficacy" (+36.1%, p < 0.001), "Lack of knowledge of treatment" (-28.2%, p < 0.001), and "Daily activities affected by side effects" (+22.3%, p < 0.001). Diarrhea, fatigue/malaise, and nausea/vomiting were patients' most distressing adverse events; 50.6% of patients had difficulty telling their physicians about adverse events such as fatigue, anxiety, and depression. CONCLUSIONS: This study demonstrated a gap between patients with mRCC and physicians in their expectations and concerns for systemic therapy. Japanese patients with mRCC suffer from a number of adverse events, some of which are not shared with physicians. This study highlights the importance of communicating well with patients in clinical practice to achieve patient-centricity in systemic treatment for mRCC.
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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) | 0.000 | 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".