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Record W1999368002 · doi:10.1161/strokeaha.110.596643

The Safety of Proton Pump Inhibitors and Clopidogrel in Patients After Stroke

2010· article· en· W1999368002 on OpenAlexaffabout
David N. Juurlink, Tara Gomes, Muhammad Mamdani, David J. Gladstone, Moira K. Kapral

Bibliographic record

VenueStroke · 2010
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity Health NetworkInstitute for Clinical Evaluative SciencesSunnybrook Health Science CentreSt. Michael's Hospital
Fundersnot available
KeywordsMedicineClopidogrelStroke (engine)Odds ratioInternal medicineCohortCohort studyCardiologySurgeryAspirin

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: evidence suggests that some proton pump inhibitors can attenuate the antiplatelet effect of clopidogrel. The significance of this potential drug interaction in patients with cerebrovascular disease is unknown. METHODS: we conducted a nested case-control study of all Ontario residents aged ≥ 66 years newly treated with clopidogrel after a stroke between April 1, 2002, and September 30, 2008. In the primary analysis, case patients were those readmitted for stroke, and a secondary analysis examined all-cause mortality. For each case, up to 4 event-free control subjects were matched on age, gender, and outcome type (stroke or transient ischemic attack). Exposure to proton pump inhibitors was categorized as current (within 60 days), previous (61 to 180 days), or remote (181 to 365 days). RESULTS: among 2765 patients entering the cohort, we identified 118 cases readmitted for stroke and 472 control subjects. After multivariable adjustment, current use of proton pump inhibitors was not associated with a significantly increased risk of recurrent stroke (adjusted odds ratio, 1.05; 95% CI, 0.60 to 1.82) or death (adjusted odds ratio, 1.84; 95% CI, 0.88 to 3.89). CONCLUSIONS: as a class, proton pump inhibitors are not associated with an increased risk of recurrent stroke or death among older patients treated with clopidogrel after stroke.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.032
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.214
Teacher spread0.211 · 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.

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

Citations33
Published2010
Admission routes2
Has abstractyes

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