MétaCan
Menu
Back to cohort

The role of chronic cerebrospinal insufficiency in multiple sclerosis

2011· article· en· W2089446563 on OpenAlexaff
Arnold Radu, Fabrício Guimarães Gonçalves

Bibliographic record

VenueRadiologia Brasileira · 2011
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMultiple sclerosisMedicineCentral nervous systemGenetic predispositionEtiologyMyelinDiseaseParenchymaNeurosciencePathologyImmunologyBiologyInternal medicine

Abstract

fetched live from OpenAlex

Multiple sclerosis is a non-hereditary neurodegenerative disease caused by an autoimmune process that results in demyelination of axons in the central nervous system thus leading to a broad spectrum of neurological symptoms. The etiology of multiple sclerosis is multifactorial and a single cause explaining all aspects of the disease has not yet been identified. Authors have agreed that this disorder is most likely due to a combination of factors, which includes a genetic predisposition, combined with environmental elements and possibly an infectious component. The cascade is initiated by the blood-brain barrier breakdown. This allows T-cell infiltration into the central nervous system, which triggers an inflammatory process that causes axonal myelin sheath damage resulting in poor neuronal action potential propagation. Oligodendrocytes attempt to remyelinate, although insufficient to compensate for demyelination in the long term. The end result is permanent neuronal scarring and damage and loss of parenchyma. According to the National Multiple Sclerosis Society, multiple sclerosis patients may present three distinct clinical courses: relapsing remitting, primary progressive, and secondary progressive. In the last five years, additional propositions have been made to unveil the causes of multiple sclerosis. Zamboni has raised the possibility that multiple sclerosis and chronic venous disease may share some key features, particularly, increased iron deposition in the brain. This has been first described by Adams et al.: “In active multiple

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)0.001
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 score0.072
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.096
GPT teacher head0.284
Teacher spread0.188 · 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".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueRadiologia BrasileiraSame topicMultiple Sclerosis Research StudiesFrench-language works237,207