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Record W1495658688 · doi:10.1159/000348780

On the Historical Succession of Vessel-Based Therapies in the Treatment of Multiple Sclerosis

2013· article· en· W1495658688 on OpenAlex
Aravind Ganesh, Frank W. Stahnisch

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Neurology · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsUniversity of Calgary
FundersAssociated Medical Services
KeywordsMultiple sclerosisEtiologyMedicineSympathectomyIloprostSurgeryPathologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Since 2009, the (CCSVI) model of multiple sclerosis has drawn much attention, and the associated surgical 'venoplasty' interventions have often been advertised as a novel idea. In fact, it is a new incarnation of various vessel-based therapies attempted for multiple sclerosis in the past, dating back to the 1930s, when Tracy Jackson Putnam (1894-1975) attempted pharmacological anticoagulation. This was followed in the 1940s by Richard M. Brickner's (1896-1959) studies of vasodilatory drugs, which further inspired trials of sympathectomy and ganglionectomy. In the 1950s, Ilya Mark Scheinker (1902-1954) studied vasopressor therapy, while Roy Laver Swank (1909-2008) investigated the effects of a low saturated fat diet in his patients. This paper discusses the longer history of these therapeutic endeavours and the aetiological theories that inspired them.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.076
GPT teacher head0.234
Teacher spread0.158 · 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