Is statistical significance the same as clinical significance?

No — and this distinction is important. Statistical significance (expressed as a p-value) measures the probability that a result occurred by chance, while clinical significance measures whether the result is large enough to meaningfully impact patient health or clinical decisions. OncuraKit's p=1.6×10⁻²² is extraordinarily statistically significant — the cancer-healthy separation is real. Clinical significance is measured by how much benefit patients receive from acting on the test result. For cancer early detection, clinical significance is best measured by the reduction in late-stage cancer diagnoses and cancer mortality in populations that use the test. OncuraKit's 81–97% Stage I sensitivity — the clinically most important outcome — demonstrates both statistical and clinical significance. Prospective clinical trials measuring mortality reduction are the ultimate test of clinical significance for any MCED test.