Extended Data Table 3 Primary outcome measures for each drug–biomarker cohort in NLMT

From: The National Lung Matrix Trial of personalized therapy in lung cancer

  1. Number of patients in the intention-to-treat (ITT) and per protocol populations are shown. For OR and DCB, the observed number is reported together with the denominator that shows the number of patients currently with sufficient follow-up data to be included in the analysis. Bayesian estimates of the true OR rate and DCB rate, given the current data and minimally informative priors, are reported together with 95% credible intervals (CrI). For PFS, Bayesian estimates of the true median PFS in months, given the current data and minimally informative priors, are reported together with 95% credible interval. For closed cohorts, the Bayesian PP is reported for primary outcomes, showing the probability that the true value is greater than the pre-specified clinically relevant targets as follows: OR and/or DCB rates of 30% for B2S, A1, D2, G1, B1, F1–F4; median PFS of 3 months for C2 and C6. For open cohorts, the PPoS is reported for primary outcomes, showing the probability of a go decision when the cohort reaches n = 30, given the current observed data, with pre-specified clinical relevant targets as follows: OR and/or DCB rates of 30% for B2D, D1, D3, and 40% for E2; median PFS of 3 months for C1, C3–C5.
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