Table 3. Essential components to report in randomized clinical trials with respect to the analysis.
Statement about intention to treat (ITT) for trial participants with available outcome data |
Claim of ITT: if individuals were analyzed in the groups to which they were randomized with details about any post-randomization exclusions * |
No claim of ITT, e.g. if analysis exclusively focused on individuals who complied with the study protocol (‘per protocol’ or ‘as treated’ analysis) |
Statement about the handling of missing outcome data (MOD) † |
A) No MOD (complete follow-up) |
B) Individuals with MOD were not considered in the analysis (complete/available case analysis) |
C) Imputation with explicit description. Options include individuals with MOD were considered in the analysis: |
i) assuming all experienced the outcome of interest, ‡ |
ii) assuming none experienced the outcome of interest, ‡ |
iii) assuming a worst case scenario (i.e. individuals with MOD in the experimental group experienced the outcome of interest and those in the control group did not), ‡ |
iv) assuming a best case scenario (i.e. individuals with MOD in the experimental group did not experienced the outcome of interest and those in the control group did), ‡ |
v) last observation carried forward, |
vi) censored at the time lost to follow-up in a survival analysis, |
vii) multiple imputation, |
viii) any other imputation/modelling that needs to be specified. |
D) Two or more of the options in B & C (sensitivity analysis) |
It may be appropriate to exclude randomized patients in order to achieve efficiencies while preserving prognostic balance between groups if two conditions are met [23]: (1) allocation to treatment or control could not possibly influence whether a particular randomized individual met criteria for post-randomization exclusion, (2) the decision about post-randomization is made without possible bias (commonly achieved through review blinded to allocation).
There are various ways of handling missing data; we provide illustrative examples for reporting purposes.
For dichotomous outcome data.