Trial reportBMC medical research methodology2013
Using the random forest method to detect a response shift in the quality of life of multiple sclerosis patients: a cohort study.
Trial report in BMC medical research methodology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00702065 (A Multi-center, Multi-regional Observational Study to Test the Responsiveness of the Validated MusiQoL), which is not on this map. Cited by 14 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Multi-center, Multi-regional Observational Study to Test the Responsiveness of the Validated MusiQoL (Multiple Sclerosis International Quality of Life Questionnaire) Instrument to EDSS Status Changes in Any Form of Multiple Sclerosis (MS) in Patients With or Without Treatment
Who cites it
14 citing papers in PubMed.
- Norm-based comparison of the quality-of-life impact of ravulizumab and eculizumab in paroxysmal nocturnal hemoglobinuria.Orphanet journal of rare diseases · 2021Article
- Quality of life of transplanted children and their parents: a cross-sectional study.Orphanet journal of rare diseases · 2021Article
- Creating idiometric short-form measures of cognitive appraisal: balancing theory and pragmatics.Journal of patient-reported outcomes · 2021Article
- Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.Journal of preventive medicine and hygiene · 2021Article
- Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS.Journal of neurovirology · 2020Article
- Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study.JMIR medical informatics · 2019Article
- Advancing quality-of-life research by deepening our understanding of response shift: a unifying theory of appraisal.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Scoping review of response shift methods: current reporting practices and recommendations.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Using classification and regression tree modelling to investigate response shift patterns in dentine hypersensitivity.BMC medical research methodology · 2017Article
- Appraisal assessment in patient-reported outcome research: methods for uncovering the personal context and meaning of quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017Review
- How recent health-related life events affected my perspective on quality-of-life research.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
- Method variation in the impact of missing data on response shift detection.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
- Identifying reprioritization response shift in a stroke caregiver population: a comparison of missing data methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Observational
- Shifting responses in quality of life: people living with dialysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple sclerosis (MS), a common neurodegenerative disease, has well-described associations with quality of life (QoL) impairment. QoL changes found in longitudinal studies are difficult to interpret due to the potential response shift (RS) corresponding to respondents' changing standards, values, and conceptualization of QoL. This study proposes to test the capacity of Random Forest (RF) for detecting RS reprioritization as the relative importance of QoL domains' changes over time.
methodsThis was a longitudinal observational study. The main inclusion criteria were patients 18 years old or more with relapsing-remitting multiple sclerosis. Every 6 months up to month 24, QoL was recorded using generic and MS-specific questionnaires (MusiQoL and SF-36). At 24 months, individuals were divided into two 'disability change' groups: worsened and not-worsened patients. The RF method was performed based on Breiman's description. Analyses were performed to determine which QoL scores of SF-36 predicted the MusiQoL index. The average variable importance (AVI) was estimated.
resultsA total of 417 (79.6%) patients were defined as not-worsened and 107 (20.4%) as worsened. A clear RS was identified in worsened patients. While the mental score AVI was almost one third higher than the physical score AVI at 12 months, it was 1.5 times lower at 24 months.
conclusionThis work confirms that the RF method offers a useful statistical approach for RS detection. How to integrate the RS in the interpretation of QoL scores remains a challenge for future research.
trial registrationClinicalTrials.gov identifier: NCT00702065.
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