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Record W2135074145 · doi:10.1191/135248506ms1270oa

Change in clinician-assessed measures of multiple sclerosis and subject-reported quality of life: results from the IMPACT study

2006· article· en· W2135074145 on OpenAlexaboutno aff
Deborah Miller, Jeffrey A. Cohen, Mariska Kooijmans, Elisa Tsao, Gary Cutter, Monika Baier

Bibliographic record

VenueMultiple Sclerosis Journal · 2006
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMultiple sclerosisMedicineQuality of life (healthcare)Expanded Disability Status ScaleQuartilePlaceboPhysical therapyInterferon beta-1aClinical trialRandomized controlled trialInternal medicineInterferon betaConfidence intervalPathologyPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The IMPACT study demonstrated the benefit of interferon beta-1a (IFNbeta-1a, Avonex) two-year change in disability measured by the Multiple Sclerosis Functional Composite (MSFC) in secondary progressive multiple sclerosis (SP-MS) and health-related quality of life (HRQoL) measured by the Multiple Sclerosis Quality of Life Inventory (MSQLI). The IMPACT data permit a detailed assessment of the relation between clinical and self-reported measures. METHODS: IMPACT was an international randomized, double-blind, placebo-controlled trial of SP-MS patients. As the MSQLI is only in English, this report includes US and Canadian subjects. Subjects were randomized to weekly intramuscular (im) injections of INbeta-1a (60 microg) or placebo for 24 months. RESULTS: At baseline and follow-up, MSQLI correlations were generally stronger with the EDSS than with the MSQLI, MSFC but comparable with MSFC components. Combining the two groups, MSQLI changes for those in the best and worst MSFC change quartiles demonstrated a statistical difference for six of the 11 MSQLI scales. Linear regression demonstrated that EDSS change from baseline to month-24 scores was correlated with change in two MSQLI components. CONCLUSION: These data support the appropriateness of using the MSQLI with individuals who have SP-MS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.408
GPT teacher head0.408
Teacher spread0.000 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2006
Admission routes1
Has abstractyes

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