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Record W2114080475 · doi:10.1177/1352458511417835

Multiple sclerosis and depression

2011· review· en· W2114080475 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMultiple Sclerosis Journal · 2011
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMultiple sclerosisPsychosocialDepression (economics)MedicineQuality of life (healthcare)MoodRandomized controlled trialPsychiatryClinical psychologyMindfulnessMood disordersAffect (linguistics)PsychologyAnxietyInternal medicine

Abstract

fetched live from OpenAlex

Clinically significant depression can affect up to 50% of patients with multiple sclerosis over the course of their lifetime. It is associated with an increased morbidity and mortality and is regarded by patients as one of the main determinants of their quality of life. This review summarizes current perspectives relating to diagnosis, the utility of self report screening questionnaires, warning signs of suicidal intent and the biological and psychosocial variables implicated in mood change. In particular, the association between depression and structural brain abnormalities, including those derived from diffusion tensor imaging, is highlighted. Depression is treatable, as the results from randomized controlled trials of antidepressant medication, cognitive behavior therapy and mindfulness therapy, reveal. These positive findings are offset by data showing that depression in a neurological setting is often overlooked and under treated.

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.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.294
GPT teacher head0.358
Teacher spread0.064 · 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