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Record W4406108834 · doi:10.1177/20543581241312618

Appropriateness of Antiplatelet Therapy and Proton Pump Inhibitor Prescribing in End-Stage Kidney Disease: A Retrospective Quality Investigation Study

2025· article· en· W4406108834 on OpenAlexafffundabout
Michael Che, Sumaiya Ahmed, Ryan Chan, Ayub Akbari, Deborah Zimmerman

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsOttawa HospitalUniversity of OttawaUniversity of Toronto
FundersCanadian Society of Nephrology
KeywordsMedicineProton-pump inhibitorRetrospective cohort studyKidney diseaseEnd stage renal diseaseEnd-stage kidney diseaseIntensive care medicineStage (stratigraphy)DiseaseInternal medicine

Abstract

fetched live from OpenAlex

Background: Patients with end-stage kidney disease (ESKD) have high rates of gastrointestinal bleeding due to several risk factors including platelet dysfunction, comorbid illness, and use of antiplatelet medications. Proton pump inhibitors (PPIs) reduce gastrointestinal bleeding and are recommended for high-risk patients such as those prescribed dual antiplatelet therapy (DAPT). Whether inappropriate duration of DAPT therapy and/or lack of appropriate PPI use contribute to the known elevated risk of gastrointestinal bleeding in hemodialysis patients is not known. Objectives: To determine whether patients with ESKD are appropriately prescribed DAPT and PPI therapy. Design: Retrospective cross-sectional, quality investigation. Setting: Satellite hemodialysis unit of a tertiary care center in Ontario, Canada. Patients: All patients with ESKD treated at a satellite hemodialysis unit of a tertiary care hospital. Measurements: Number of patients prescribed antiplatelets, PPIs, anticoagulants, non-steroidal anti-inflammatory drugs (NSAIDs), and corticosteroids; indications for aforementioned medications. Methods: A chart review was performed to elucidate patients' medical history and pertinent medications. Patients' indications for PPI and DAPT were extracted from their electronic medical records. Results: Out of 88 patients with ESKD treated with hemodialysis, 44 were on antiplatelet therapy (4 on DAPT), 1 on NSAID, 12 on corticosteroids, 7 on oral anticoagulants, 2 on histamine H2-receptor antagonists, and 39 on PPIs. Fourteen percent of PPI users had absolute indication for therapy. One patient in whom PPI therapy was indicated was not prescribed one. Out of 4 patients on DAPT, 3 had current indications for DAPT, whereas 1 had a prior indication. Limitations: Single-center study; medication lists obtained from electronic medical records not confirmed by patient interview. Conclusions: At the time of this study, 3% of patients with ESKD treated with hemodialysis had a current indication for DAPT. One patient prescribed DAPT no longer met indication for therapy and was reduced to single antiplatelet therapy. Only one patient with an absolute indication for PPI therapy had not been prescribed one. Overall, it appears that prescribing patterns of DAPT and PPI at our center are unlikely to be a major contributor to the known increased risk of gastrointestinal bleeding in patients treated with hemodialysis. However, this may not be true of all units; ensuring regular medication reviews are undertaken may enhance appropriate prescribing.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.312
Teacher spread0.279 · 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 designObservational
Domainnot available
GenreEmpirical

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 routes3
Has abstractyes

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