Cost and Cost-Effectiveness of the Management Strategies of Chronic Urticaria
Bibliographic record
Abstract
Importance: Although treatment for chronic urticaria (CU) has improved over the past decades, evidence regarding costs and net benefits associated with these treatment strategies have yet to be comprehensively characterized and synthesized. Objective: To summarize the cost and cost-effectiveness of CU management strategies. Evidence Review: An extensive systematic literature search of 6 databases (MEDLINE, Embase, PubMed Cochrane, Scopus, and CINAHL) and gray literature sources, without language restriction, was conducted and updated to March 23, 2024. Articles that performed cost analysis or full economic evaluation among patients with CU were included. Two reviewers independently extracted data, such as annual costs of health care services or incremental cost-effectiveness ratio (ICER) per quality-adjusted life-year (QALY). All monetary values were converted and inflated to 2023 US dollars. Evidence-based synthesis for health benefit was judged using the Evidence Rating Matrix by the Institute for Clinical and Economic Review. Findings: Seventeen unique studies (11 cost analysis studies and 6 full economic evaluations) were included. With the wide variation in health care resources, services that included biologic omalizumab utilization had higher annual health care cost estimations for CU management than services that did not include omalizumab prescription (median [IQR] cost, $6933 [$5988-$8717] vs $5621 [$2488-$8754]). The biologic omalizumab, 300 mg, for H1 antihistamine-refractory chronic spontaneous urticaria (CSU) (3 studies) was found to have a median (IQR) ICER of $89 005 ($36 058-$145 694) per QALY (evidence rating as incremental or better; moderate certainty with substantial net health benefit). Routine laboratory testing among patients with CSU with otherwise normal histories and physical examination findings (1 study) had ICERs ranging from $1 427 928 to $1 950 524 per QALY (evidence rating as comparable or inferior; moderate certainty that the net health benefit is inferior). Conclusions and Relevance: With limited evidence of cost-effectiveness, biologic omalizumab, 300 mg, for H1 antihistamine-refractory CSU was found to be cost-effective in US health care services at the willingness to pay threshold of $150 000 per QALY. Meanwhile, routine laboratory testing among patients with CSU without compelling indication was not cost-effective. Future studies in more diverse CU populations and resource settings are needed to fill evidence gaps.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".