Table 1.

Summary of proposed approaches for reporting MPD

Author	Methods used to prevent missing data	Number of participants with MPD	Differences in rates of MPD between trial arms	Reasons for MPD	Flow of participants	Differences between participants with and without MPD	Pattern of missingness (eg, whether at random)	Methods for handling MPD in analysis	Results of any sensitivity analyses	Implication of MPD on interpreting the results
Staquet et al13		✓*		✓				✓
Bernhard et al12		✓		✓						✓
Troxel et al20		✓		✓			✓†
Liu et al21		✓		✓			✓		✓
Amico et al22		✓*	✓	✓	✓
Sterne et al23		✓		✓	✓	✓		✓
Polit and Gillespie24		✓	✓			✓	✓		✓	✓
Al-Shurafa et al25		✓						✓
Gewandter et al26	✓	✓			✓
CONSORT‡3		✓*	✓	✓	✓			✓
Number of studies recommending it	1	10	3	7	4	2	3	4	2	2

*These approaches further recommended reporting missing data by study arm.

†Troxel et al recommended examining patient-related and institution-related factors affecting missing data rates descriptively or by using logistic regression models. ‡Elements recommended by CONSORT extensions, not already included in the main statement: (1) extension for harms, none; (2) extension for cluster trials: reporting for each group, the missing participant data for both clusters and individual cluster members; (3) extension for patient reported outcomes, reporting outcome data at baseline and at subsequent time points, interpreting any supportive (eg, sensitivity) analyses.

MPD, missing participant data.