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Record W4386093461 · doi:10.1093/qjmed/hcad069.512

Clinical Types of Movement Disorders in Patients with Multiple Sclerosis

2023· article· en· W4386093461 on OpenAlexaboutno aff
Ayman Nasef, Ahmed Mohamed Elsayed Abdel Aty, Mahmoud Saad, Eman Hamid, Ali Shalash

Bibliographic record

VenueQJM · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMovement disordersMedicineMultiple sclerosisExpanded Disability Status ScaleDepression (economics)Physical therapyQuality of life (healthcare)Cross-sectional studyObservational studyBeck Depression InventoryMontreal Cognitive AssessmentCognitionPhysical medicine and rehabilitationPsychiatryCognitive impairmentInternal medicineDiseasePathologyAnxiety

Abstract

fetched live from OpenAlex

Background Little is known about the true prevalence and clinical characteristics of movement disorders in early multiple sclerosis (MS), associated clinical disability and their effect on QOL. We conducted a cross sectional study to fill this knowledge gap. Objectives to study the prevalence of movement disorders in early stages of multiple sclerosis, presence of other clinical disability and their effect on QOL. Patients and method This is a cross sectional observational study. The patients group included 250 patients with RRMS whom were recruited consecutively from the MS clinic of Ain Shams and Nasr institute hospitals. Each eligible patient was interviewed and examined for presence of movement disorders, Patients were divided into 2 groups, group A without movement disorders and group B showing movement disorders. General and neurological examination including Expanded Disability Status Scale (EDSS) score at time of interview for both groups. Magnetic resonance imaging (MRI) of brain and cervical spinal cord (with contrast whenever available) obtained at the time of interview with documentation of MS plaques involvement for both groups. RRMS patients with movement disorders (group B) are subjected to different assessment for depression by Beck Depression Inventory (BDI), cognitive assessment by Montreal Cognitive Assessment (MOCA) scale, disability and quality of life (QOL) by the Short Form 36 Health Survey Questionnaire. Results This study included 250 RRMS. onset of their movement disorders was 2.69 ± 2.34 years from MS diagnosis with mean EDSS 3.515 ± 1.04. Cerebellar signs are present in 97% of total number of movement disorders and 26% of total sample, regarding tremors, 36 patients in this study showed tremors representing 53.7% of movement disorders patients, 14.4% of total sample of RRMS patients. This study showed presence of 5 cases of restless leg syndrome 7.5% of total number of MD. 4 cases of dystonia are present in this study representing 6% of MD patients. Patients with MD showed presence of depressive symptoms and cognitive affection with negative impact on QOL. Tremors severity is not correlated with either cognition or depression scores where ataxia is correlated with depression score only. MRI assessment of patients with MD showed higher lesion load and involvement of infratentorial structures especially cerebellum and its connections and cerebellum. Conclusion Movement disorders are common to occur than previously known especially ataxia and tremors early in the course of the disease. Presence of MD is related to high lesion load and strategic location of these lesions. special assessment of movement disorders as independent cause of disability with concomitant depression and cognitive impairment especially early in the disease course should be taken in consideration due to their negative impact on QOL.

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 score0.027
Threshold uncertainty score0.238

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 head0.078
GPT teacher head0.344
Teacher spread0.266 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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