Rheumatoid Arthritis–Interstitial Lung Disease in the United States: Prevalence, Incidence, and Healthcare Costs and Mortality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Interstitial lung disease (ILD) is commonly associated with rheumatoid arthritis (RA) and can have significant morbidity and mortality. The objective of this study was to calculate the prevalence, incidence, healthcare costs, and mortality of RA-related ILD (RA-ILD) in the United States. METHODS: This retrospective cohort analysis used the Truven Health MarketScan Commercial and Medicare Supplemental health insurance databases from 2003 to 2014 and the Social Security Administration death database. Patients with RA-ILD were selected based on diagnoses on medical claims. Outcomes were 1-year prevalence and incidence of RA-ILD among the general enrollee population, all-cause and respiratory-related healthcare costs (2014 US$), and all-cause survival for a subset of newly diagnosed patients with vital status information. This analysis was descriptive. No statistical testing was conducted. RESULTS: Prevalence of RA-ILD ranged from 3.2 to 6.0 cases per 100,000 people across the 10-year period and incidence ranged from 2.7 to 3.8 cases per 100,000 people. There were 750 incident patients with 5 years of followup data. Over that time, 72% had an inpatient admission and 76% had an emergency room visit. Mean total 5-year costs were US$173,405 per patient (SD $158,837). Annual per-patient costs were highest in years 1 and 5. At 5 years after first diagnosis in the data, 35.9% of patients had died. CONCLUSION: Prevalence of RA-ILD increased over time. For patients who could be followed over a 5-year period, healthcare use and costs were somewhat stable over time, but were substantial. RA-ILD is associated with decreased survival.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it