The clinical effectiveness of elexacaftor/tezacaftor/ivacaftor (ETI) for people with CF without a F508del variant: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Access to elexacaftor/tezacaftor/ivacaftor (ETI) for people with cystic fibrosis (PwCF) without a F508del variant is limited due to lack of clinical data supporting efficacy. METHODS: In this systematic review and meta-analysis, we examined patient-level data from studies reporting the clinical response to ETI for PwCF with non-F508del CFTR variants. We searched electronic data sources including Embase, MEDLINE, and CENTRAL from January 1st, 2019 to May 14th, 2024. FINDINGS: Our search results identified 4,795 studies and 20 met the eligibility criteria. 120 of 164 (73 %) individuals had a positive clinical response to ETI, defined by a sweat chloride (SwCl) decrease of ≥10 mmol/L or percent-predicted FEV1 (ppFEV1) improvement of ≥5 %. 51 unique ETI-responsive variants were represented across these 120 individuals and 27 of these variants (53 %) have not been previously approved by the U.S. FDA. For variants with at least 10 individuals treated with ETI to date, a consistent positive clinical response was observed for N1303K and G85E. For N1303K (n = 48), the median increase in ppFEV1 was 16 % (IQR: 8 %, 29 %), with a median decrease in SwCl of -9 (IQR: -4, -22) mmol/L. For G85E (n = 16), the median increase in ppFEV1 was 13.5 % (IQR: 8 %, 19 %) with a median decrease in SwCl of -46 (IQR: -39, -66) mmol/L. CONCLUSION: Additional ETI-responsive variants were identified following a comprehensive review of ETI clinical use in PwCF without F508del. This data can be used by the CF community in efforts to expand the labelled indications or to help advocate for off-label ETI reimbursement.
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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 | 0.013 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.023 | 0.008 |
| 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 | 0.001 |
| 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".