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Record W2140229698 · doi:10.1136/ebmed-2011-100451

In TIA or stroke patients with intracranial arterial stenosis, aggressive medical therapy was superior to percutaneous transluminal angioplasty and stenting for 30-day risk of further stroke or death

2012· letter· en· W2140229698 on OpenAlexaff
Tim E. Darsaut, Jean Raymond, Sylvain Lanthier

Bibliographic record

VenueEvidence-Based Medicine · 2012
Typeletter
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineStenosisStroke (engine)AngioplastyPercutaneousInternal medicineSurgery

Abstract

fetched live from OpenAlex

Commentary on: Chimowitz MI, Lynn MJ, Derdeyn CP, et al. Stenting versus aggressive medical therapy for intracranial arterial stenosis. N Engl J Med 2011;365:993–1003.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Patients with a recent transient ischaemic attack (TIA) or ischaemic stroke attributed to 70–99% intracranial artery stenosis have a 23% of 1-year risk for subsequent stroke. Over the past decade, intracranial angioplasty and stenting (IAS) has increasingly been used, without convincing evidence of efficacy or rigorous assessment of safety. Stenting and aggressive medical management for preventing recurrent stroke in intracranial stenosis (SAMMPRIS) was a clinical trial that sought to determine whether IAS combined with intensive medical management (IMM) was superior to IMM alone in the prevention of stroke and death. Subjects were adults with 30–80 years of age, and had suffered a TIA or non-disabling stroke within 30 days of enrolment, attributed to an intracranial stenosis of 70–99% as documented … [1]: {openurl}?query=rft.jtitle%253DNew%2BEngland%2BJournal%2Bof%2BMedicine%26rft.stitle%253DNEJM%26rft.issn%253D0028-4793%26rft.aulast%253DChimowitz%26rft.auinit1%253DM.%2BI.%26rft.volume%253D365%26rft.issue%253D11%26rft.spage%253D993%26rft.epage%253D1003%26rft.atitle%253DStenting%2Bversus%2Baggressive%2Bmedical%2Btherapy%2Bfor%2Bintracranial%2Barterial%2Bstenosis.%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa1105335%26rft_id%253Dinfo%253Apmid%252F21899409%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1056/NEJMoa1105335&link_type=DOI [3]: /lookup/external-ref?access_num=21899409&link_type=MED&atom=%2Febmed%2F17%2F4%2F115.atom [4]: /lookup/external-ref?access_num=000294857300007&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Randomized triallow
models splitAgreement compares identical category sets and study designs across arms.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.268
Teacher spread0.246 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Randomized trial
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
Published2012
Admission routes1
Has abstractyes

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