Estimated Conjunctivitis-Related Healthcare Cost Savings With Increased Tralokinumab Use Versus Other Biologics Among Patients With Moderate-Severe Atopic Dermatitis in the United States
Bibliographic record
Abstract
Objectives• To estimate annual US-level costs attributable to conjunctivitis events in patients aged ≥12 years with moderate-to-severe AD receiving biologic therapy • To simulate potential cost savings associated with an increase in the use of tralokinumab versus other biologics based on its comparatively lower incidence of conjunctivitis events Table 1 Targeted literature inputs a Pooled estimates were obtained by applying estimated proportions of adults versus adolescents in the US to generate a weighted average. b The incidence rate of conjunctivitis among patients with moderate-severe AD was proxied by the observed incidence rate in the placebo arm of the most recent clinical trial for a biologic of interest for the treatment of moderate-to-severe AD. c The lower bound estimate for excess cost per conjunctivitis episode was obtained by applying proportions of incident allergic versus infectious conjunctivitis to separate cost estimates for allergic and infectious conjunctivitis, to generate a weighted average.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".