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Record W2141896865 · doi:10.1177/0883073812450750

Fatigue and Depression in Children With Demyelinating Disorders

2012· article· en· W2141896865 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

VenueJournal of Child Neurology · 2012
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersMultiple Sclerosis SocietyFonds National de la Recherche LuxembourgNational Multiple Sclerosis Society
KeywordsDepression (economics)PsychologyDemyelinating DisorderPsychiatryClinical psychologyMedicinePhysical medicine and rehabilitationMultiple sclerosis

Abstract

fetched live from OpenAlex

Fatigue and depression have been shown to be significant problems in children with multiple sclerosis. The rate at which these conditions occur in children with other acquired demyelinating syndromes is unknown. In this cross-sectional study, the authors evaluated 49 children with demyelinating disorders (multiple sclerosis and acute disseminated encephalomyelitis) and 92 healthy controls for depression and/or fatigue using the Behavior Assessment System for Children, Second Edition behavior and mood rating scale and Varni PedsQL Multidimensional Fatigue Scale. The parents of acquired demyelinating syndrome patients were more likely to report elevated depressive symptoms (30.8% vs 10.8%, P = .008). Elevated parent and self-reported total fatigue (25% vs 0%, P < .001, 26.7% vs 8.6%, P = .024) was seen in the patient cohort. The authors conclude that fatigue and depression are far more common in children with acquired demyelinating syndromes than in controls. Clinical attention to and implementation of effective therapies oriented toward these conditions in children with acquired demyelinating syndromes 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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.027
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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