Economic Costs of Myasthenia Gravis: A Systematic Review
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
OBJECTIVES: The objective of our study was to conduct a systematic literature review of economic costs (henceforth costs) associated with myasthenia gravis (MG). METHODS: We searched MEDLINE (through PubMed), CINAHL, Embase, PsycINFO, and Web of Science for studies reporting costs of MG published from inception up until March 18, 2020, without language restrictions. Two reviewers independently screened records for eligibility, extracted the data, and assessed included studies for risk of bias using the Newcastle-Ottawa Scale. Costs were inflated and converted to 2018 United States dollars ($). RESULTS: The search identified 16 articles for data extraction and synthesis. Estimates of costs of MG were found for samples from eight countries spanning four continents (Europe, North America, South America, and Asia). Across studies, the mean per-patient annual direct medical cost of illness was estimated at between $760 and $28,780, and cost per hospitalization between $2550 and $164,730. The indirect cost of illness was estimated at $80 and $3550. Costs varied considerably by patient characteristics, and drivers of the direct medical cost of illness included intravenous immunoglobulin and plasma exchange, myasthenic crisis, mechanical ventilatory support, and hospitalizations. CONCLUSIONS: We show that the current body of literature of costs of MG is sparse, limited to a few geographical settings and resource categories, mostly dated, and subject to non-trivial variability, both within and between countries. Our synthesis will help researchers and decision-makers identify gaps in the local health economic context of MG and inform future cost studies and economic evaluations in this patient population.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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