Global prevalence of CFTR variants with respect to their responsiveness to elexacaftor-tezacaftor-ivacaftor
Bibliographic record
Abstract
BACKGROUND: Elexacaftor-tezacaftor-ivacaftor (ETI) is mostly approved in people with cystic fibrosis (pwCF) with a p.Phe508del CFTR variant. The US Food and Drug Administration (FDA) approved ETI for an additional 177 rare CFTR variants and studies identified 7 non-FDA approved variants also responsive to ETI. The global impact of expanding the ETI label to rare responsive CFTR variants on the number of eligible pwCF is unknown. METHODS: Data were obtained from CF registries and individual CF clinics in countries without registries. Individuals were classified according to five mutually-exclusive categories (1) at least one p.Phe508del variant (2) at least one of the 177 FDA-approved variants (3) at least one non-FDA-approved variant responsive to ETI (4) two variants resulting in no CFTR protein (5) all other variants. The first 3 groups were considered responsive to ETI, group 4 was nonresponsive and group 5 of undetermined responsiveness. RESULTS: Data were obtained from 95,838 pwCF living in 69 countries: 78,566 (82.0 %) had at least one p.Phe508del, 6175 (6.4 %) at least one FDA-approved variants, and 2981 (3.1 %) at least one non-FDA-approved responsive variants. Two variants resulting in no CFTR protein were found in 3574 (3.7 %) and other variant combinations in 4490 (4.7 %). The prevalence of p.Phe508del ranged from 7 % to 98 % in individual countries and expanding the eligibility to responsive non-p.Phe508del variants resulted in greatest eligibility increase in countries with low p.Phe508del prevalence. CONCLUSION: Expanding the label of ETI to rare responsive CFTR variants will make at least 91.5 % of pwCF eligible to this disease-modifying therapy.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".