Table 3.
Expected Number of Deaths at 5 Years for Colorectal Cancer Detected at Delayed Screening According to Diagnostic Delays and Stage at Diagnosis
Diagnostic delay (mo) | Stage at diagnosis | Expected deathsa | Relative change (%) | P valueb | All stages |
||
---|---|---|---|---|---|---|---|
Expected deathsa | Relative change (%) | P valueb | |||||
0–3 | I–II | 353 | Reference | — | 858 | Reference | |
III–IV | 505 | ||||||
4–6 | I–II | 363 | 2.8 | .294 | 829 | –3.4 | .427 |
III–IV | 466 | –7.7 | |||||
7–12 | I–II | 339 | –4.0 | .139 | 902 | 5.1 | .228 |
III–IV | 563 | 11.5 | |||||
>12 | I–II | 320 | –9.3 | <.001 | 961 | 12.0 | .005 |
III–IV | 641 | 26.9 |
For example, 353 is given by 2356 (Table 1) multiplied by mortality rate (1–0.85) derived from Table 2. Sum of 353 and 505 (equal to 858) represents the expected total number of deaths at 0–3 months in the target population of 3184 colorectal cancer cases.
P values refer to comparison of proportions by stage of expected number of deaths at 0–3 months vs higher delays on total number of deaths, eg, 0.294 is the P value of the hypothesis test for comparing 363/829 vs 353/858. Test for binomial proportions is also used for comparing the proportion of deaths with respect to total number of colorectal cancer cases (3184), eg, 0.427 is the P value of the comparison of 829/3184 vs 858/3184.