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Record W2000265954 · doi:10.1002/art.10604

Determinants and sequelae associated with utilization of acetaminophen versus traditional nonsteroidal antiinflammatory drugs in an elderly population

2002· article· en· W2000265954 on OpenAlexaff
Elham Rahme, Dan Pettitt, Jacques LeLorier

Bibliographic record

VenueArthritis & Rheumatism · 2002
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill University Health Centre
Fundersnot available
KeywordsMedicineAcetaminophenOdds ratioInternal medicineAspirinPoisson regressionConfidence intervalRetrospective cohort studyMedical prescriptionCohortHazard ratioMedical recordPopulationCohort studyAnesthesiaPharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: Acetaminophen is recommended as initial therapy for patients with arthritis, particularly those at increased risk of nonsteroidal antiinflammatory drug (NSAID)-induced gastrointestinal (GI) side effects. However, higher doses of acetaminophen inhibit prostaglandin synthesis and have been associated with GI events. This study was undertaken to compare the observed and adjusted rates of GI events (hospitalizations, ulcers, dyspepsia, GI prophylaxis) occurring with higher versus lower doses of acetaminophen. METHODS: This was a retrospective cohort study of subjects ages >or=65 years who received a prescription for acetaminophen or NSAID between 1994 and 1996. Pharmaceutical and medical records were reviewed for 1 year of historical data prior to the index prescription of acetaminophen or non-aspirin NSAID. Risk factors for GI events were identified based on the historical data. To further control for bias, patients were categorized by propensity score (the likelihood of receiving acetaminophen, given defined risk factor values). Records were then reviewed for the duration of the index prescription or 30 days, whichever was less, to generate data on the occurrence of GI events. Determinants of acetaminophen utilization were identified using logistic regression, and rates of GI events for each therapy were examined using Poisson regression analyses, controlling for duration of exposure, individual risk factors, and propensity scores. RESULTS: The study included 26,978 patients in the NSAID cohort and 21,207 in the acetaminophen cohort. Determinants of acetaminophen utilization compared with NSAIDs (odds ratio [95% confidence interval]) included recent hospitalization (8.6 [7.7-9.5]), concomitant anticoagulation therapy (3.2 [2.7-3.8]), age >85 years (2.3 [2.1-2.4]), and history of prior GI events, especially those requiring hospitalization (14.6 [11.7-18.7]). Unadjusted rates of GI hospitalization, ulcer, and dyspepsia were higher for patients in the acetaminophen cohort than for those in the NSAID cohort. The occurrence of GI events in acetaminophen-treated patients was dose dependent, with rate ratios (compared with high-dose NSAIDs and adjusted for risk susceptibility) ranging from 0.6 (95% confidence interval 0.5-0.7) for 3,250 mg/day. CONCLUSION: In this cohort, acetaminophen utilization is more common in patients at higher risk of GI events. After adjustment for risk susceptibility, patients receiving higher doses of acetaminophen have higher rates of GI events compared with those receiving lower doses.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.251
Teacher spread0.217 · 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

Citations99
Published2002
Admission routes1
Has abstractyes

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