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Record W2061401181 · doi:10.4021/gr2009.04.1283

Differences in Managing Anticoagulants and Antiplatelets for Gastrointestinal Endoscopy between East and West

2009· review· en· W2061401181 on OpenAlexvenueno aff
Sun‐Young Lee

Bibliographic record

VenueGastroenterology Research · 2009
Typereview
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAspirinWarfarinEndoscopyGastrointestinal bleedingDrugIntensive care medicineInternal medicineSurgeryPharmacologyAtrial fibrillation

Abstract

fetched live from OpenAlex

Decreasing the bleeding risk associated with gastrointestinal (GI) endoscopic procedures and minimizing the thromboembolic risk of withdrawing medications are very important for the patients taking anticoagulants and antiplatelets. Western guidelines on managing anticoagulation and antiplatelet medications in GI endoscopy suggest a polypectomy with aspirin medication or a biopsy with warfarin medication. However, Eastern endoscopists' adherence to Western guidelines may be responsible for Easteners experiencing massive bleedings. During the cessation of drugs, it should be emphasized that Asians may be predisposed to different forms of embolism more likely to be of the cerebrovascular system, whereas Westerners more likely to be of the cardiovascular variety. To better understand the differences between the East and West, differences in drug metabolism should be considered that results in greater body weight-normalized plasma unbound clearance of drug in Easterners. Taken as a whole, different managements are required for GI endoscopy in patients on anticoagulation and/or antiplatelet medications based on differences in metabolism of drugs, risk of hemorrhage, and forms of thromboembolism.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.197
GPT teacher head0.422
Teacher spread0.225 · 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

Citations5
Published2009
Admission routes1
Has abstractyes

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