The cost burden of radiation cystitis presentations and investigations
Bibliographic record
Abstract
BACKGROUND: Radiation cystitis is a well-known complication resulting from radiotherapy for pelvic malignancies. It remains a challenging condition to treat and is associated with significant morbidity for patients. We aimed to establish the economic cost burden of presentations and investigations associated with radiation cystitis over a two-year period to a tertiary referral hospital in Ireland. MATERIALS AND METHODS: A retrospective review of patient charts was performed for radiation cystitis-related presentations and investigations over 24 months. Costs were estimated in consultation with the hospital finance department and using Health Service Executive data on diagnostic-related groups and average inpatient bed day costs. RESULTS: A total of 56 individual patients were identified over 2 years. 91% male, 9% female. The mean age was 72 years. Twenty-three patients (41%) required inpatient care. Radiation cystitis accounted for 621 inpatient bed days. Median length of stay was 7.5 days. The inpatient care cost was approximately €545,238 (801,908 Canadian dollars (CA$)) over 2 years. CONCLUSION: Radiation cystitis accounts for a significant amount of inpatient bed days. A conservative estimate of the overall cost burden for inpatient care and outpatient investigations exceeds €280,000 (CA$411,810) per year.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.003 | 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".