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Record W2165469641 · doi:10.1177/1352458513508837

Exercising away the blues: can it help multiple sclerosis-related depression?

2013· review· en· W2165469641 on OpenAlexaff
Anthony Feinstein, Neil A. Rector, Robert W. Motl

Bibliographic record

VenueMultiple Sclerosis Journal · 2013
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersMultiple Sclerosis Society
KeywordsMultiple sclerosisDepression (economics)MoodCLARITYMedicinePsychiatryPhysical medicine and rehabilitationPsychologyPhysical therapyAlternative medicineClinical psychology

Abstract

fetched live from OpenAlex

The present review focuses on exercise as a treatment for depression in multiple sclerosis. While exercise has emerged as a potentially useful treatment in the general psychiatry-depression literature, the findings from a small number of multiple sclerosis-related treatment trials are equivocal. Methodological limitations, including the absence of depression as a primary endpoint, characterize all the studies completed to date. Given that limitations in study design can be rectified, it is time to put exercise to the test once more. Depressed multiple sclerosis patients and those involved in their care are looking for guidance here because the prevailing zeitgeist promotes the benefits of exercise to mood. But first, some clarity is needed.

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)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0020.001

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 head0.242
GPT teacher head0.359
Teacher spread0.117 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations36
Published2013
Admission routes1
Has abstractyes

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