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Record W2970957026 · doi:10.7224/1537-2073.2018-087

Effect of Multiple Sclerosis on Daily Activities, Emotional Well-being, and Relationships

2019· article· en· W2970957026 on OpenAlexaboutno aff
Ann Bass, Bart Van Wijmeersch, Lori Mayer, Mathias Mäurer, Aaron Boster, Matt Mandel, Colin F. Mitchell, Kersten Sharrock, B. Singer

Bibliographic record

VenueInternational Journal of MS Care · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineActivities of daily livingMultiple sclerosisWeaknessBalance (ability)CognitionEmotional well-beingGerontologyClinical psychologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: The vsMS survey was conducted to better understand the negative effects of fatigue, cognitive impairment, emotional burden, and decreased physical functioning on the personal, professional, and social lives of individuals with multiple sclerosis (MS). METHODS: The vsMS survey was an online survey conducted in Australia, Canada, France, Italy, Spain, the United Kingdom, and the United States that assessed the impact of MS on individuals' daily activities, emotional well-being, relationships, and employment. RESULTS: The survey included 1075 participants with relapsing-remitting MS. Almost 42% of participants reported that their ability to perform and manage daily activities had worsened during the previous 2 years. More than 50% reported limitations in daily activities due to fatigue, physical weakness, problems with balance/coordination, heat/cold sensitivity, memory problems, numbness/tingling, trouble concentrating, impaired movement/muscle stiffness, and impaired sleeping. Participants also reported a negative effect on emotional and social factors, including self-esteem, general outlook, well-being, maintaining/starting relationships, ability to progress in their career/keep their job, and ability to cope with life roles. CONCLUSIONS: These data highlight the importance of addressing the impact of MS and the social and emotional disease burdens on daily activities when planning the care of patients with 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.308
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations61
Published2019
Admission routes1
Has abstractyes

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