Kidney cancer survivorship survey of urologists and survivors: The gap in perceptions of care, but agreement on needs
Bibliographic record
Abstract
INTRODUCTION: There is lack of evidence-based literature addressing comprehensive long-term care for kidney cancer (KC) survivors. Additionally, it is unclear if the concerns of KC patients/caregivers are being adequately addressed. Therefore, Kidney Cancer Canada, a patient-led support organization for Canadians with KC, commissioned this first recorded survivorship survey specific to KC patients/caregivers. METHODS: We conducted a cross-sectional online survey of Canadian patients/caregivers diagnosed with localized KC, and a separate parallel survey of Canadian urologists. The primary objectives were to assess patient/caregivers' and urologists' perceptions of information provided, as well as the physical/psychological/emotional impact of KC treatment. RESULTS: Urologists recalled providing information about surgical complications (90%) and their management (63%), while patients/caregiver recalled much less (33% and 35%). Of the urologists, 93% recalled providing information on cancer recurrence, but only 42% of patients/caregivers remembered receiving this information. Concerns identified by patients/caregivers and urologists were similar: fear of recurrence, concerns about cancer, fatigue, and anxiety. Importantly, all agreed that survivorship information was paramount. Education of both patients/caregivers and physicians and the development of guidelines were factors identified to ensure optimal KC survivorship. Study limitations include potential biases in recall and selection of participants. CONCLUSION: There was some discordance between urologists' and patients/caregivers' rates of recall of information provided. Patients/caregivers would have desired more information about their cancer, long-term follow-up, and potential complications. A survivorship care plan (SCP) tailored to KC may be an effective measure to address these needs. The impact of this SCP on survivor outcomes should be rigorously assessed.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".