Safety and Efficacy of Elexacaftor/Tezacaftor/Ivacaftor for 24 Weeks or Longer in People with Cystic Fibrosis and One or More <i>F508del</i> Alleles: Interim Results of an Open-Label Phase 3 Clinical Trial
Bibliographic record
Abstract
Safety results from this interim analysis were consistent with the initial 24-week placebo-controlled F/MF pivotal study, with similar or lower exposure-adjusted event rates observed in the OLE (Table 1) (5). ELX/TEZ/IVA was generally safe and well tolerated. Most AEs were consistent with common manifestations of CF and were not treatment limiting (3, 10). In participants who received ELX/TEZ/IVA in parent studies, improvements in efficacy and PD measures, including ppFEV1, SwCl concentration, BMI, CFQ-R RD score, and PEx event rate, were maintained or continued to improve further over 24 weeks (F/MF genotypes) or 36 weeks (F/F genotype) of additional treatment. These results validate the durability of ELX/TEZ/IVA efficacy responses, with no emerging safety concerns. Among participants who had received placebo or TEZ/IVA in the respective parent studies, initiation of ELX/TEZ/IVA rapidly led to marked improvements in these efficacy measures that were consistent with the results seen in the ELX/TEZ/IVA arms of those parent studies. Thus, the results of this combined-group interim analysis demonstrate the safety and sustained efficacy of long-term ELX/TEZ/IVA treatment in pwCF 12 years old or older with one or more F508del alleles.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".