TY - JOUR
T1 - A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials
AU - Zhang, Yuqing
AU - Flórez, Ivan D.
AU - Colunga Lozano, Luis E.
AU - Aloweni, Fazila Abu Bakar
AU - Kennedy, Sean Alexander
AU - Li, Aihua
AU - Craigie, Samantha
AU - Zhang, Shiyuan
AU - Agarwal, Arnav
AU - Lopes, Luciane C.
AU - Devji, Tahira
AU - Wiercioch, Wojtek
AU - Riva, John J.
AU - Wang, Mengxiao
AU - Jin, Xuejing
AU - Fei, Yutong
AU - Alexander, Paul
AU - Morgano, Gian Paolo
AU - Zhang, Yuan
AU - Carrasco-Labra, Alonso
AU - Kahale, Lara A.
AU - Akl, Elie A.
AU - Schünemann, Holger J.
AU - Thabane, Lehana
AU - Guyatt, Gordon H.
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/8
Y1 - 2017/8
N2 - Objective To assess analytic approaches randomized controlled trial (RCT) authors use to address missing participant data (MPD) for patient-important continuous outcomes. Study Design and Setting We conducted a systematic survey of RCTs published in 2014 in the core clinical journals that reported at least one patient-important outcome analyzed as a continuous variable. Results Among 200 studies, 187 (93.5%) trials explicitly reported whether MPD occurred. In the 163 (81.5%) trials that reported the occurrence of MPD, the median and interquartile ranges of the percentage of participants with MPD were 11.4% (2.5%–22.6%).Among the 147 trials in which authors made clear their analytical approach to MPD, the approaches chosen included available data only (109, 67%); mixed-effect models (10, 6.1%); multiple imputation (9, 4.5%); and last observation carried forward (9, 4.5). Of the 163 studies reporting MPD, 16 (9.8%) conducted sensitivity analyses examining the impact of the MPD and (18, 11.1%) discussed the risk of bias associated with MPD. Conclusion RCTs reporting continuous outcomes typically have over 10% of participant data missing. Most RCTs failed to use optimal analytic methods, and very few conducted sensitivity analyses addressing the possible impact of MPD or commented on how MPD might influence risk of bias.
AB - Objective To assess analytic approaches randomized controlled trial (RCT) authors use to address missing participant data (MPD) for patient-important continuous outcomes. Study Design and Setting We conducted a systematic survey of RCTs published in 2014 in the core clinical journals that reported at least one patient-important outcome analyzed as a continuous variable. Results Among 200 studies, 187 (93.5%) trials explicitly reported whether MPD occurred. In the 163 (81.5%) trials that reported the occurrence of MPD, the median and interquartile ranges of the percentage of participants with MPD were 11.4% (2.5%–22.6%).Among the 147 trials in which authors made clear their analytical approach to MPD, the approaches chosen included available data only (109, 67%); mixed-effect models (10, 6.1%); multiple imputation (9, 4.5%); and last observation carried forward (9, 4.5). Of the 163 studies reporting MPD, 16 (9.8%) conducted sensitivity analyses examining the impact of the MPD and (18, 11.1%) discussed the risk of bias associated with MPD. Conclusion RCTs reporting continuous outcomes typically have over 10% of participant data missing. Most RCTs failed to use optimal analytic methods, and very few conducted sensitivity analyses addressing the possible impact of MPD or commented on how MPD might influence risk of bias.
KW - Analytic approaches
KW - Continuous outcome
KW - Lost to follow-up
KW - Missing participant data
KW - MPD
KW - Randomized controlled trials
UR - https://www.scopus.com/pages/publications/85028772556
U2 - 10.1016/j.jclinepi.2017.05.017
DO - 10.1016/j.jclinepi.2017.05.017
M3 - Review article
C2 - 28583378
AN - SCOPUS:85028772556
SN - 0895-4356
VL - 88
SP - 57
EP - 66
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -