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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".