“…We used logistic regression, adjusted for patient age, baseline NIHSS, time from stroke symptom onset to baseline NCCT, baseline ASPECTS, occlusion location, and a dummy variable representing the eight possible combinations of mCTA eligibility (yes vs. no) versus CTP-eligibility (yes vs. no) conditional on treatment type (EVT performed vs. not) to assess the effect on outcome. This model helps generate probabilities for good outcomes for the following eight conditions namely (1) mCTA eligible, CTP eligible, EVT performed; (2) mCTA not eligible, CTP eligible, EVT performed; (3) mCTA not eligible, CTP eligible, EVT performed; (4) mCTA not eligible, CTP not eligible, EVT performed; (5) mCTA eligible, CTP eligible, EVT not performed; (6) mCTA not eligible, CTP eligible, EVT not performed; (7) mCTA not eligible, CTP eligible, EVT not performed; and (8) mCTA not eligible, CTP not eligible, EVT not performed. We deliberately chose to report adjusted rather than unadjusted outcomes since in a non-randomized setting, the latter are subject to substantial confounding by baseline prognostic variables.…”