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Record W4401185250 · doi:10.69944/pjc.d5a0e28ae9

The Effect of Rabeprazole on the Antiplatelet Efficacy of Clopidogrel: A Systematic Review

2016· review· en· W4401185250 on OpenAlexaboutno aff
Eugenio B Reyes, April Ann Bermudez-delos Santos

Bibliographic record

VenuePhilippine journal of cardiology. · 2016
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsClopidogrelRabeprazoleMedicineAspirinCardiologyInternal medicineProton-pump inhibitor

Abstract

fetched live from OpenAlex

Introduction: Clopidogrel is a P2Y12 receptor antagonist given to patients with coronary heart disease, usually in combination with aspirin. It is metabolized to its active component through the cytochrome P450 2C19 (CYP2C19) isoenzyme. Proton pump inhibitors (PPI) are commonly used in patients who are receiving clopidogrel, especially those at high-risk for gastrointestinal bleeding. However, certain PPIs are likewise metabolized through the CYP2C19 isoenzyme. Co-administration of the two classes of drugs may lead to lower levels of clopidogrel, leading to lower antiplatelet efficacy and lower effects on cardiovascular disease prevention of the drug. Objective: To determine the effects of rabeprazole on platelet activity, major adverse cardiovascular outcomes and gastrointestinal bleeding among patients receiving clopidogrel Methodology: We performed this meta-analysis that included all types of studies (randomized controlled trials, case control studies, prospective and retrospective cohort studies) that investigated rabeprazole versus no rabeprazole or placebo. The population consisted of patients who received clopidogrel for any indication with concomitant administration of rabeprazole versus clopidogrel alone. Randomized trials were assessed using Cochrane’s Collaboration tool for assessment of risk of bias. For non randomized studies, Newcastle-Ottawa Quality Assessment Scale for cohort studies was used. Dichotomous data were analyzed using risk ratio and 95% confidence interval, while continuous variables were analyzed using mean differences and standard deviation. Heterogeneity was tested using chi-square test and I2 statistics. Results: There were no statistically significant differences noted in the outcomes of maximal platelet aggregation (mean difference 0.75, 95% CI -3.85 to 5.35), platelet reactivity index (mean difference -0.75, 95% CI -5.11 to 3.61), total cardiovascular events (RR 2.64, 95% CI 0.65 to 10.75) and gastrointestinal bleeding (RR 0.72, 95% CI 0.34 to 1.55) between clopidogrel-treated patients on rabeprazole compared to those without.. Data were not heterogenous, except on the outcome of total cardiovascular events. An influence analysis showed that removal of one trial made the outcome non-heterogenous, but the outcome difference was still not statistically significant (RR 1.25, 95% CI 0.66 to 2.37). Conclusion: Rabeprazole in addition to clopidogrel did not significantly affect maximal platelet aggregation, platelet reactivity index, gastrointestinal bleeding and cardiovascular outcomes.

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)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.015
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
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 head0.021
GPT teacher head0.326
Teacher spread0.304 · 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 designSystematic review
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

Citations0
Published2016
Admission routes1
Has abstractyes

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