ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021
Response-shift effects in neuromyelitis optica spectrum disorder: estimating response-shift-adjusted scores using equating.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Cognitive appraisal processes and health: from bench to bedside.Frontiers in public health · 2026Review
- Response-shift effects in childhood cancer survivors: A prospective study.Psycho-oncology · 2023Article
- Double-blinded is not better than "mutually enlightened": implications of Lord-Besson et al.JNCI cancer spectrum · 2023Article
- Listening to the elephant in the room: response-shift effects in clinical trials research.Journal of patient-reported outcomes · 2022Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundIn 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.
methodsThis 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.
resultsMCS 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.
conclusionsOur 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.
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Registered trials
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