Vollständiger Abstract
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<h4>Background</h4>The phase 3 THOR trial (cohort 1) showed improved overall survival (OS) and progression-free survival (PFS) with erdafitinib versus chemotherapy in FGFR2/3-altered advanced urothelial carcinoma after prior programmed cell death protein 1 (PD-1) / programmed death-ligand 1 (PD-L1) inhibitor therapy. When the assumption of proportional hazards (PH) is violated, a single hazard ratio (HR) may be difficult to interpret.<h4>Methods</h4>We derived reconstructed individual patient data (rIPD) for OS and PFS from published Kaplan-Meier curves. PH was assessed using scaled Schoenfeld residuals and log-log plots. We fit Bayesian piecewise-exponential models with administrative censoring at τ = 24 months (OS; cut-point 12 months) and τ = 12 months (PFS; cut-point 6 months). We reported interval-specific HRs, landmark survival differences (ΔOS, ΔPFS), number needed to treat (NNT), restricted-mean survival time (RMST), and posterior probabilities for clinically meaningful thresholds.<h4>Results</h4>Statistical diagnostics indicated that the PH assumption was violated for both OS and PFS. For OS, HR was 0.59 (95% credible interval 0.41-0.84) in months 0-12 and 1.06 (0.48-2.48) in months 12-24. At 12 months, ΔOS(12) = 0.18 (0.06-0.30); conditional median NNT was 5.45. ΔRMST (0-24) = 3.02 months (0.74-5.23), with P(ΔRMST >0) = 99.5%. For PFS, the HR was 0.64 (0.45-0.89) in months 0-6 and 0.49 (0.25-1.00) in months 6-12; ΔPFS (6) = 0.16 (0.04-0.28) and ΔRMST (0-12) = 1.74 months (0.69-2.76).<h4>Conclusion</h4>This Bayesian rIPD-based reanalysis provides PH-robust estimands, indicating early OS benefit with uncertain later effects, and favorable PFS over 0-12 months with erdafitinib.
Abstract: PubMed · Datensatz
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
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- Quelle
- Japanese Journal of Clinical Oncology
- Publikation
- 2020-01-01
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- ISSN / ISBN
- 1465-3621
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Zitierfähiger Nachweis
(2020). JJCO Best Reviewer Award. Japanese Journal of Clinical Oncology. https://doi.org/10.1093/jjco/hyag133
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