TY - JOUR
T1 - Response-shift effects in neuromyelitis optica spectrum disorder
T2 - estimating response-shift-adjusted scores using equating
AU - Schwartz, Carolyn E.
AU - Stark, Roland B.
AU - Stucky, Brian D.
AU - Li, Yuelin
AU - Rapkin, Bruce D.
N1 - Funding Information:
The application method development for this work was funded by DeltaQuest Foundation.
Funding Information:
We are grateful to Alexion Pharmaceuticals for providing access to their clinical trials data; to Minying Royston for data management assistance in the early stages of the project; and for the interest and support of Karl-Johan Myrén.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/5
Y1 - 2021/5
N2 - Background: In our companion paper, random intercept models (RIMs) investigated response-shift effects in a clinical trial comparing Eculizumab to Placebo for people with neuromyelitis optica spectrum disorder (NMOSD). RIMs predicted Global Health using the EQ-5D Visual Analogue Scale item (VAS) to encompass broad criteria that people might consider. The SF36™v2 mental and physical component scores (MCS and PCS) helped us detect response shift in VAS. Here, we sought to “back-translate” the VAS into the MCS/PCS scores that would have been observed if response shift had not been present. Methods: This secondary analysis utilized NMOSD clinical trial data evaluating the impact of Eculizumab in preventing relapses (n = 143). Analyses began by equating raw scores from the VAS, MCS, and PCS, and computing scores that removed response-shift effects. Correlation analysis and descriptive displays provided a more comprehensive examination of response-shift effects. Results: MCS and PCS crosswalks with VAS equated the scores that include and exclude response-shift effects. These two sets of scores had low shared variance for MCS for both groups, suggesting that corresponding mental health constructs were substantially different. The shared variance contrast for physical health was distinct only for the Placebo group. The larger MCS response-shift effects were found at end of study for Placebo only and were more prominent at extremes of the MCS score distribution. Conclusions: Our results reveal notable treatment group differences in MCS but not PCS response shifts, which can explain null results detected in previous work. The method introduced herein provides a way to provide further information about response-shift effects in clinical trial data.
AB - Background: In our companion paper, random intercept models (RIMs) investigated response-shift effects in a clinical trial comparing Eculizumab to Placebo for people with neuromyelitis optica spectrum disorder (NMOSD). RIMs predicted Global Health using the EQ-5D Visual Analogue Scale item (VAS) to encompass broad criteria that people might consider. The SF36™v2 mental and physical component scores (MCS and PCS) helped us detect response shift in VAS. Here, we sought to “back-translate” the VAS into the MCS/PCS scores that would have been observed if response shift had not been present. Methods: This secondary analysis utilized NMOSD clinical trial data evaluating the impact of Eculizumab in preventing relapses (n = 143). Analyses began by equating raw scores from the VAS, MCS, and PCS, and computing scores that removed response-shift effects. Correlation analysis and descriptive displays provided a more comprehensive examination of response-shift effects. Results: MCS and PCS crosswalks with VAS equated the scores that include and exclude response-shift effects. These two sets of scores had low shared variance for MCS for both groups, suggesting that corresponding mental health constructs were substantially different. The shared variance contrast for physical health was distinct only for the Placebo group. The larger MCS response-shift effects were found at end of study for Placebo only and were more prominent at extremes of the MCS score distribution. Conclusions: Our results reveal notable treatment group differences in MCS but not PCS response shifts, which can explain null results detected in previous work. The method introduced herein provides a way to provide further information about response-shift effects in clinical trial data.
KW - Clinical trial
KW - Clinician-assessed outcome
KW - Definitive neuromyelitis optica
KW - Interpretation of change
KW - Neurologic
KW - Neuromyelitis optica spectrum disorder
KW - Patient-reported outcome
KW - Response shift
UR - http://www.scopus.com/inward/record.url?scp=85098986510&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098986510&partnerID=8YFLogxK
U2 - 10.1007/s11136-020-02727-8
DO - 10.1007/s11136-020-02727-8
M3 - Article
C2 - 33398520
AN - SCOPUS:85098986510
SN - 0962-9343
VL - 30
SP - 1283
EP - 1292
JO - Quality of Life Research
JF - Quality of Life Research
IS - 5
ER -