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Record W4412045327 · doi:10.14740/gr2023

Concomitant Gastrointestinal Bleeding Prophylaxis With Dual Antiplatelet Therapy Usage

2025· review· en· W4412045327 on OpenAlexvenueno aff
MUHAMMAD MOIZ TAHIR, Rohma Saleemi, Komaldeep Kaur, Gursimran Pal Singh Shergill

Bibliographic record

VenueGastroenterology Research · 2025
Typereview
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsConcomitantMedicineGastrointestinal bleedingInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

Gastrointestinal bleeding (GIB) is a critical condition that requires effective management, particularly in patients undergoing dual antiplatelet therapy (DAPT) with aspirin and clopidogrel. This literature review examines the comparative efficacy and safety of proton pump inhibitors (PPIs) and histamine-2 receptor antagonists (H2RAs) in preventing GIB among these patients. PPIs have traditionally been the cornerstone for GIB prophylaxis due to their superior acid-suppressive properties and ability to promote ulcer healing. However, concerns about PPIs potentially inhibiting clopidogrel's antiplatelet activity via cytochrome P450 2C19 interactions have led to increased interest in H2RAs as an alternative. Emerging research highlights the contexts where H2RAs may be preferred, including in patients with specific cardiovascular or renal comorbidities. Recent findings also explore the role of potassium-competitive acid blockers (PCABs) as a promising alternative to PPIs. Despite conflicting data, this review underscores the need for personalized treatment strategies based on efficacy, safety, and patient-specific factors to optimize GIB prophylaxis in DAPT patients. Further large-scale studies are recommended to address gaps in the literature and refine clinical guidelines.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.117
GPT teacher head0.407
Teacher spread0.290 · 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 teacher head, not a consensus.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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