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Record W2550760380 · doi:10.1182/blood.v106.11.904.904

Should High-Risk Patients with Chronic Atrial Fibrillation and Those with Coronary Artery Disease Receive Combined Aspirin-Oral Anticoagulant Therapy or Oral Anticoagulant Therapy Alone? A Systematic Review and Meta-Analysis.

2005· review· en· W2550760380 on OpenAlexaff
Francesco Dentali, Wendy Lim, James D. Douketis

Bibliographic record

VenueBlood · 2005
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAspirinAtrial fibrillationInternal medicineCoronary artery diseaseRandomized controlled trialStroke (engine)Meta-analysisCardiologySurgery

Abstract

fetched live from OpenAlex

Abstract Background: Deciding between combined aspirin and oral anticoagulant (OAC) therapy compared to OAC therapy alone in patients with chronic atrial fibrillation who also have coronary artery disease or are at high risk for stroke is a common clinical problem. Individual trials do not address the benefits and risks of these two treatment strategies. Purpose: To perform a systematic review and meta-analysis of randomized controlled trials comparing combined aspirin-OAC therapy and OAC alone with respect to bleeding complications and overall mortality. Data Sources: Randomized trials published up to December 2004 in MEDLINE, EMBASE and Cochrane Central Register of Controlled Trials databases. Study Selection: Included studies satisfied the following criteria: randomized trial involving patients, age ≥18 years, with chronic atrial fibrillation, a mechanical heart valve or coronary artery disease that compared treatment with OAC and aspirin to treatment with OAC alone; OAC therapy was the same in all treatment arms; patient follow-up for at least 3 months; the study documented at least 2 of 3 study outcomes. Data Extraction: Two reviewers independently extracted data on thromboembolic, major bleeding and mortality outcomes. Authors were contacted if the required information was not available. Data Synthesis: Fifteen studies were included, totalling 8984 patients with a mechanical heart valve, chronic atrial fibrillation or coronary artery disease. The risk for thromboembolic outcomes was significantly lower in patients receiving aspirin-OAC therapy compared to OAC therapy alone (OR = 0.62; 95% CI: 0.51, 0.77; P <0.001). In patients receiving aspirin-OAC therapy or OAC therapy alone, there was no difference in the risk for major bleeding (OR = 1.14; 95% CI: 0.90, 1.45; P = 0.27), intracranial bleeding (OR = 0.84; 95% CI: 0.51, 1.39), or fatal bleeding (OR = 1.36; 95% CI: 0.71, 2.61). There was no significant difference in all-cause mortality in patients receiving aspirin-OAC therapy compared to OAC therapy alone (OR = 0.93; 95% CI: 0.78, 1.10; P = 0.38). In patients receiving aspirin-OAC therapy compared to OAC therapy alone, there was no significant difference in the case-fatality rate for thromboembolism (12.1% vs. 12.2%; P = 0.99), or major bleeding (13.2% vs. 11.5%; P = 0.66). Conclusions: Aspirin may be added to OAC in patients at high risk of thromboembolic complications since it appears to be effective with a similar bleeding risk as therapy with OAC alone. However, does not appear to reduce the risk of death.

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)0.025
metaresearch head score (Gemma)0.070
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.070
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0230.031
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.131
GPT teacher head0.359
Teacher spread0.228 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2005
Admission routes1
Has abstractyes

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