P14 A preliminary cost analysis of management options for individuals with prior history of CMV disease
Bibliographic record
Abstract
Background: The aim of this study was to assess the potential costs of removing maintenance therapy for CMV in the era of HAART and to explore the possible impact on these costs of introducing a test based on CMV viral load. Methods: The analysis was performed using a Markov model, run over 24-month periods. Only the costs of the maintenance therapy, the hypothetical test and the costs of treating an episode of CMV were included. Results: The expected total cost of treating an individual with maintenance therapy with < 200 CD4 (cells/mm3) was £8025. When maintenance therapy was removed for individuals with between 100 and 199 and 50–199 CD4, the total treatment costs were £7580 and £8065 per person, respectively. When the hypothetical test was assumed to have a sensitivity and specificity of 0.9, a unit cost of £100 and was performed monthly for individuals with between CD4 50–199, the expected costs were £5604 per person. Conclusion: Testing for CMV viral load before removing maintenance therapy might be cost saving compared with removing maintenance therapy alone. However, further research is required to substantiate these findings.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".