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Record W2108411685 · doi:10.1017/s1092852900022720

The Clinical Neuropsychiatry of Multiple Sclerosis

2005· article· en· W2108411685 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

VenueCNS Spectrums · 2005
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDepression (economics)MoodCognitionAffect (linguistics)FeelingMultiple sclerosisNeuropsychiatryPsychologyMood disordersPsychiatryClinical psychologyMedicineQuality of life (healthcare)AnxietyPsychotherapist

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is the most common cause of neurological disability in young and middle-aged adults. Although Charcot noted behavioral changes associated with MS, nearly a century would elapse before researchers began defining their full extent and severity. Broadly speaking, abnormalities may be divided into those of mood and cognition. Many patients are afflicted with both and it is essential that clinicians are not only aware of this but understand how to detect problems and provide treatment. The lifetime prevalence of major depression in MS patients approaches 50%. As Scott B. Patten, MD, and colleagues note, these data came from specialist clinics with the potential for ascertainment bias. Shifting their inquiry into a large community-based sample, they report that the rates of mood disorder remain elevated largely in younger MS patients. While it is partly reassuring to find that aging comes with at least one benefit, the gist of this study is to reinforce the message that clinically significant depression is a problem for MS patients. Not only does it adversely affect quality of life and lead to increased suicidal thinking, it exerts more subtle deleterious effects as Peter A. Arnett, PhD, reveals. In a longitudinal study exploring the relationship between depression and cognition, Arnett reports that MS patients with prominent evaluative symptoms of depression (ie, feelings of inferiority, failure) have greater difficulty with cognitive tasks that encompass information processing speed and executive function linked to working memory. A preoccupation with negative thoughts may reduce the cognitive capacity necessary for aspects of attention and working memory. These data complement the review article of Ralph H.B. Benedict, PhD, ABPP-CN, that focuses on methods of detecting cognitive dysfunction in MS. As with mood disorders, impaired cognition has been linked to difficulties with work, relationships, and, in more extreme cases, basic activities of daily living. Usually, the more subtle pattern of deficits associated with demyelination differ from those seen in cortical-type dementias and will be missed should clinicians rely on screening instruments like the Mini-Mental State Examination. At the same time, the method of choice for eliciting deficits, namely neuropsychological testing is expensive and frequently not readily available. This has meant that alternative instruments, like the Multiple Sclerosis Neuropsychological Screening Questionnaire, assume an added prominence. With good sensitivity, specificity, and ease of administration this informant based scale makes a useful addendum to the neurological examination. It is in the same light that the magnetic resonance imaging (MRI) rating scale by Laury Chamelian, MD, FRCPC, and colleagues should be viewed.

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)0.002
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 score0.218
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.114
GPT teacher head0.365
Teacher spread0.251 · 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