Assessing the risk of bias associated with missing participants in randomized controlled trials: a systematic review and meta-analysis in autologous cell therapy for peripheral arterial disease

Article type
Authors
Jeong H1
1Catholic University of Korea
Abstract
Background:
Randomization minimizes the chance of bias by balancing both known and unknown prognostic factors between trial arms. However, the results can be biased when the data from ‘non-adherent’ participants are excluded from the analysis to evaluate treatment effect.

Objectives:
The aim of the study is to demonstrate the risk of bias associated with missing participants in a randomized controlled trial of cell therapy for peripheral vascular disease (PVD) patients.

Methods:
We performed systematic searches from inception to December 2017 in MEDLINE and Embase. We conducted meta-analysis using complete case analysis as the primary analysis. To test the robustness of the results, we conducted sensitivity analyses using both worst-case scenario and adjusting zero events to evaluate the magnitude of impact of risk of bias on the reported results.

Results:
In the complete case analysis, the cell therapy showed a reduced the risk of amputation by 43% (risk ratio (RR) 0.43; 95% confidence interval (CI) 0.27 to 0.68). In the worst-case scenario, the treatment effect on prevention of amputation was decreased (RR 0.61 0.36; 95% CI 0.39 to 0.97). In addition, adjusting zero events yielded a wide confidence interval (RR 0.44; 95% CI 0.20 to 0.97).

Conclusions:
Even when we assumed a worst-case scenario, the results remained statistically significant; cell therapy for PVD may reduce the risk of amputation and may be guaranteed as a true treatment effect for cell therapy.

This research was supported by a grant (18172MFDS182) from the Ministry of Food & Drug Safety in 2018.

Patient or healthcare consumer involvement:
None.