A Retrospective Survey of Patients Undergoing Maintenance Hemodialysis vis-à-vis Cancer Prevalence
Bibliographic record
Abstract
The present study investigated the cancer prevalence and anticancer treatment patients undergoing hemodialysis at Nagoya Memorial Hospital. We retrospectively analyzed 663 patients undergoing hemodialysis between September 2014 and August 2019, including patient characteristics such as age, sex, and underlying diseases, cancer type, and cancer treatment. Seventy-eight patients (11.9%) of the dialysis population were diagnosed with cancer. Cancer type was then compared between registered cancer patients undergoing maintenance dialysis (N = 78) and non-dialysis controls (N = 3279) during the same period. Colorectal carcinoma is the most common malignancy diagnosed in our hospital, accounting for approximately 15% of all types of cancers. The data of anticancer treatment for this disease were compared between dialysis patients (N = 15) and controls (N = 563), whose clinical stages were defined according to the Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma. Since the need to administer chemotherapeutic agents to dialysis patients with colorectal carcinoma will increase, oncologists should collaborate with nephrologists to cautiously manage anticancer treatment to avoid severe toxicities.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".