MétaCan
Menu
Back to cohort
Record W2151046062 · doi:10.1136/eb-2013-101610

Basic learning concepts in EBM: the bidimentional hierarchy of evidence

2013· article· en· W2151046062 on OpenAlexaff
P. La Rochelle

Bibliographic record

VenueEvidence-Based Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHierarchyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

<h3>Background and purpose</h3> Mechanical thrombectomy (MT) and acute carotid stenting (ACS) of patients with acute ischemic stroke due to tandem occlusions (TO) of the anterior circulation was proven to be safe and effective, but the implications of periprocedural antithrombotic medications are only known to a limited extent. <h3>Methods</h3> We conducted a retrospective analysis of 162 consecutive patients who presented with TO and were treated with MT and ACS in our center. Patients initially either received dual antiplatelet therapy (DAT) or tirofiban periprocedurally. Some patients were also treated with unfractionated heparin. The frequency of intracranial hemorrhages (ICH), as well as the impact on clinical outcome and stent patency of different medical regimes, were evaluated using univariate tests and adjusted multivariate logistic regressions. <h3>Results</h3> Patients who received supportive treatment with heparin had significantly higher occurrences of any (OR, 2.46; 95% CI, 1.15 to 5.28) and symptomatic ICH (OR, 3.71; 95% CI, 1.18 to 14.95). Additionally, these patients were less likely to have a moderate clinical outcome after 90 days (modified Rankin scale 0–3; OR, 0.33; 95% CI, 0.15 to 0.72), but were more likely to have a fatal outcome after 90 days (OR, 2.84; 95% CI 1.10 to 7.31). These findings persisted in patients who received both DAT and heparin, but not for patients who received both tirofiban and heparin. <h3>Conclusion</h3> Supportive administration of heparin in patients with TO and treatment with MT and ACS should be carefully considered, especially in patients who primarily receive DAT.

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
gemmaMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualmedium
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.415
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.119
GPT teacher head0.363
Teacher spread0.244 · 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.

Metaresearch

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

Study designTheoretical or conceptual
DomainMethods
GenreEmpirical · Commentary

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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based MedicineSame topicLipoproteins and Cardiovascular HealthCategoryMetaresearchFrench-language works237,207