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Record W7099751916

676 Canadian Family Physician • Le Médecin de famille canadien | Vol 57: JUNE • JUIN 2011 Tools for Practice Clinical question

2016· article· en· W7099751916 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsnot available
Fundersnot available
KeywordsMultiple sclerosisCohortPlaceboClinical PracticeAngioplastyChronic venous insufficiency
DOInot available

Abstract

fetched live from OpenAlex

In patients with multiple sclerosis (MS), is angio-plasty of obstructed extracranial venous lesions safe and does it improve MS symptoms? Evidence In a cohort study, 65 MS patients with chronic cerebrospi-nal venous insufficiency (CCSVI) underwent angioplasty for obstructed azygous or internal jugular venous lesions.1 • Participants: mean age 41 years, 46 % male, minimal to moderate disability (not in wheelchair), taking MS disease-modifying agents. • Vascular outcomes: no serious operative or immediate postoperative complications.-Restenosis at 1 year was about 50 % for internal jugular. • Neurologic outcomes at 18 months, compared with baseline (no control or placebo group):-No benefit in primary or secondary progressive subtypes.-Significant improvements in relapsing-remitting MS subtype: fewer patients relapsing during 1-year period (50 % vs 73%, P =.0014); fewer patients with lesions seen on magnetic resonance imaging (12 % vs 50%, P <.0001); and improved MS functional composite and quality-of-life scores. • All relapsing-remitting patients with patency after their procedures were relapse free. • Concerns: single study site, not randomized, no con-trol group, and unblinded.-Remission is a hallmark of relapsing-remitting MS: untreated patients can have reductions (even pro-longed) in clinical symptoms2,3 or lesions.4 A control group and long-term follow-up are essential.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.032
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.1200.014

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 head0.045
GPT teacher head0.333
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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