Specialized survivor clinic attendance is associated with decreased rates of emergency department visits in adult survivors of childhood cancer
Bibliographic record
Abstract
BACKGROUND: Survivors of childhood cancer are at considerable risk of experiencing treatment-related adverse health outcomes. To provide survivors with specialized care focused on these risks during adulthood, the government of Ontario funded a provincial network of specialized survivor clinics in 1999. The aim of this study was to determine whether prior attendance at survivor clinics by adult survivors of childhood cancer was associated with rates of emergency department (ED) visits. METHODS: This was a population-based, retrospective cohort study using multiple linked administrative health databases. The cohort consisted of all adult survivors of childhood cancer diagnosed between January 1, 1986 and December 31, 2005 in Ontario, Canada. A recurrent event regression model was used to evaluate the association between prior attendance at survivor clinics and the rate of ED visits; adjustments were made for individual, demographic, treatment, and provider characteristics. RESULTS: The study consisted of 3912 adult survivors of childhood cancer. Individuals who had at least 1 prior visit to a survivor clinic had a 19% decreased rate of ED visits in comparison with individuals who had not visited a survivor clinic (adjusted relative rate, 0.81; 95% confidence interval, 0.78-0.85). Each additional prior visit to a survivor clinic was associated with a 5% decrease in the rate of ED visits (adjusted relative rate, 0.95; 95% confidence interval, 0.93-0.96). These results were independent of whether or not survivors received care from a primary care physician. CONCLUSIONS: Attendance at a specialized survivor clinic was significantly associated with decreased ED visits among adult survivors of childhood cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.002 | 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 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".