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Table 4 Experimental factors associated with difference to be detected regarding death or recurrence of an unnamed cancer presented as an absolute risk difference and as odds ratios

From: How do researchers determine the difference to be detected in superiority trials? Results of a survey from a panel of researchers

 

Difference to be detected

Difference to be detected expressed as odds ratio

Factors tested

Mean reduction in death or cancer recurrencea, % (95 % CI)

P-value

Mean odds ratio (95 % CI)

P-value

Baseline risk

 

<0.001

 

0.930

 Low risk (10 % of mortality/recurrence) (n = 183)

 High risk (60 % of mortality/recurrence) (n = 170)

3.2 (2.4–4.0)

11.2 (10.3–12.0)

0.230

0.64 (0.61–0.67)

0.63 (0.60–0.66)

Primary outcome

   

0.322

 Mortality (n = 174)

 Recurrence rate (n = 179)

6.7 (5.9–7.5)

7.4 (6.6–8.2)

0.649

0.65 (0.62–0.68)

0.62 (0.60–0.65)

Disadvantages of the new treatment

   

0.206

 Higher cost mentioned (n = 180)

 Higher cost not mentioned (n = 173)

7.2 (6.4–8.0)

6.9 (6.1–7.7)

0.005

0.62 (0.59–0.65)

0.65 (0.62–0.68)

Study population

   

0.031

 Adults aged <50 years (n = 180)

 Adults aged >75 years (n = 173)

7.9 (7.1–8.7)

6.2 (5.4–7.0)

 

0.61 (0.59–0.64)

0.66 (0.63–0.69)

  1. 95 % CI 95 % confidence interval
  2. aMarginal means from the multivariable linear regression model