Pulmonary and overall healthcare utilization after childhood and young adult thyroid cancer
Bibliographic record
Abstract
Differentiated thyroid carcinoma (DTC) in children, adolescents, and young adults is associated with excellent prognosis. However, little is known about the long-term utilization of healthcare resources among survivors. The objective of this study was to compare the utilization of healthcare resources among DTC survivors to the general population, with a focus on pulmonary-related resource utilization. Population-based linked data were used to retrospectively ascertain DTC patients from the Ontario Cancer Registry, age <30 years at diagnosis between 1992 and 2011. DTC cases were individually matched 1:10 to the general population on age, sex, diagnosis year, and rural status. Billing records for all-cause hospitalizations, emergency department visits, pulmonary subspecialist visits, and chest imaging were compared using incidence rate ratios (IRR). A total of 2456 individuals with DTC were identified, with women representing the majority (82.8%) of cases. Compared to controls, hospitalization and emergency department visit IRRs were 2.56 (95% CI, 2.49-2.63) and 2.22 (95% CI, 2.18-2.26), respectively. An excess of pulmonary diagnostic imaging was observed for chest radiography (IRR, 2.7; 95% CI, 2.6-2.8) and pulmonary CT's (IRR, 17.5; 95% CI, 15.8-19.3). Patients who underwent radioactive iodine therapy had a higher incidence of pulmonary-related healthcare utilization than those who did not. The highest healthcare utilization for all modalities was observed in the 30 to 90 days after DTC diagnosis with a steady decline further from diagnosis; however, elevated utilization was observed throughout the observation period. Health services utilization is high for primary DTC survivors, irrespective of the time since diagnosis. Radioactive iodine therapy is associated with higher rates of utilization. These findings have ramifications for treatment, surveillance and for policy formulation.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".