Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36833
Title: The Influence of Missing Data on Disabilities in Patients Treated with High-Dose Spinal Cord Stimulation: A Tipping Point Sensitivity Analysis
Authors: Goudman, Lisa
MOLENBERGHS, Geert 
Duarte, Rui, V
Moens, Maarten
Issue Date: 2021
Publisher: MDPI
Source: Journal of Clinical Medicine, 10 (21) (Art N° 4897)
Abstract: New waveforms have changed the field of Spinal Cord Stimulation (SCS) to optimize therapy outcomes, among which is High-Dose SCS (HD-SCS). Missing observations are often encountered when conducting clinical trials in this field. In this study, different approaches with varying assumptions were constructed to evaluate how conclusions may be influenced by these assumptions. The aim is to perform a tipping point sensitivity analysis to evaluate the influence of missing data on the overall conclusion regarding the effectiveness of HD-SCS on disability. Data from the Discover study were used, in which 185 patients with Failed Back Surgery Syndrome were included. Disability was evaluated before SCS and after 1, 3 and 12 months of HD-SCS. During the second, third and fourth visit, data from 130, 114 and 90 patients were available, respectively. HD-SCS resulted in a significant decrease in disability scores based on the analysis of observed data and with multiple imputations. The tipping point sensitivity analysis revealed that the shift parameter was 17. Thus, the conclusion concerning the time effect under a "missing at random" mechanism is robust when the shift parameter for the disability score is 17. From a clinical point of view, a shift of 17 points on disability is not very plausible. Therefore we tend to consider the conclusions drawn under "missing at random" as being robust.
Notes: Goudman, L (corresponding author), Univ Ziekenhuis Brussel, Dept Neurosurg, Laarbeeklaan 101, B-1090 Brussels, Belgium.; Goudman, L (corresponding author), Vrije Univ Brussel, Stimulus Res Grp ReS & TeachIng NeuroModULat Uz B, Laarbeeklaan 103, B-1090 Brussels, Belgium.; Goudman, L (corresponding author), Vrije Univ Brussel, Ctr Neurosci C4N, Laarbeeklaan 103, B-1090 Brussels, Belgium.; Goudman, L (corresponding author), Pain Mot Int Res Grp, Laarbeeklaan 103, B-1090 Brussels, Belgium.; Goudman, L (corresponding author), Res Fdn Flanders FWO, B-1090 Brussels, Belgium.
lisa.goudman@vub.be; geert.molenberghs@uhasselt.be;
rui.duarte@liverpool.ac.uk; maarten.moens@uzbrussel.be
Keywords: missing data mechanisms;sensitivity analysis;multiple imputations;neuromodulation
Document URI: http://hdl.handle.net/1942/36833
e-ISSN: 2077-0383
DOI: 10.3390/jcm10214897
ISI #: WOS:000757505600003
Rights: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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