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Record W2395138764 · doi:10.1177/1747493016643552

Endarterectomy vs. stenting vs. medical therapy

2016· article· en· W2395138764 on OpenAlexaff
J. David Spence

Bibliographic record

VenueInternational Journal of Stroke · 2016
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineMedical therapyEndarterectomyIntensive care medicineInternal medicineStenosis

Abstract

fetched live from OpenAlex

In recent trials, after deducting the risks in the 30-day periprocedural period, the long-term risk of stroke or death was similar with carotid stenting (CAS) and endarterectomy (CEA) for asymptomatic carotid stenosis (ACS) - approximately 0.5% per year. These findings may exacerbate the problem of inappropriate routine intervention in ACS, being justified on the basis of an invalid comparison of the risks in the medical arms of clinical trials conducted decades ago (˜ 2% per year) to the risks in modern trials of CAS vs. CEA with no medical arm. Intervention is regarded as justified if it can be carried out with a risk below 3%. The annual risk of ipsilateral stroke or death in ACS with intensive medical therapy is now ˜ 0.5% - similar to the long-term risk after the periprocedural period in recent trials of intervention. However, periprocedural risk was ˜ 3% for CAS and 1.7% for CEA. Thus with modern CAS and CEA, the risk remains much higher than with modern medical therapy, even with careful vetting of the surgeons and interventionalists. In real world practice, documented in registries, the risks are much higher. National differences - 90% of carotid intervention for ACS in the US vs. 0% in Denmark - bring into question the advisability and ethics of routine intervention. A moratorium on routine intervention for ACS should be respected except in ongoing randomized trials comparing CAS, CEA and modern intensive medical therapy. Patients with high-risk ACS can be identified for appropriate intervention.

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)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.003

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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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.

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

Citations11
Published2016
Admission routes1
Has abstractyes

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