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Record W2020938793 · doi:10.1136/heartjnl-2012-303004

Telephone contact to improve adherence to dual antiplatelet therapy after drug-eluting stent implantation

2013· article· en· W2020938793 on OpenAlexafffund
Stéphane Rinfret, Josep Rodés‐Cabau, Rodrigo Bagur, Jean‐Pierre Déry, Marc Dorais, Éric Larose, Gérald Barbeau, Onil Gleeton, Can-Manh Nguyen, Bernard Noël, Guy Proulx, Louis Roy, Isabelle Taillon, Robert De Larochellière, Olivier F. Bertrand

Bibliographic record

VenueHeart · 2013
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
FundersBristol-Myers Squibb CanadaFonds de recherche du QuébecSanofi
KeywordsMedicineClopidogrelAspirinContext (archaeology)Acute coronary syndromePharmacyCohortAntiplatelet drugStentInternal medicinePercutaneous coronary interventionDrug-eluting stentSurgeryEmergency medicineMyocardial infarctionFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Many patients delay or interrupt dual antiplatelet therapy (DAT) after drug-eluting stent (DES) implantation, which increases the risk of stent thrombosis and death. OBJECTIVE: To test the hypothesis that simple telephone contact made by nurses would improve adherence to and persistence of DAT. DESIGN: Randomised controlled trial. PATIENTS AND INTERVENTION: A total of 300 patients (mean±SD 64±10 years, 73% male) were recruited immediately after DES implantation performed between June 2009 and June 2010. The last patient recruited reached the 1-year follow-up time point in June 2011. Patients were randomised to one of two groups: intervention, with four telephone follow-ups, versus a control group. In the intervention group, phone calls were made within 7 days of the DES implantation and at 1, 6 and 9 months to support drug adherence. Control patients were followed as per usual clinical practice. Pharmacy data were collected to assess drug prescription filling and refill. SETTING: Tertiary care university cardiovascular centre and community. MAIN OUTCOME MEASURES: The primary end point was the proportion of days covered with aspirin and clopidogrel over the year after discharge as assessed by pharmacy refill data. Secondary outcome measures included persistence of aspirin and clopidogrel treatment, defined as no gaps longer than 14 days during follow-up. RESULTS: Most patients (73%) underwent DES implantation in the context of an acute coronary syndrome. All patients had drug insurance cover, either from the public plan (59%) or through private plans (41%). Complete pharmacy follow-up data were available for 96% of the cohort. At 12 months, median scores (25th-75th centile) for adherence to aspirin and clopidogrel were 99.2% (97.5-100%) and 99.3% (97.5-100%), respectively, in the intervention group compared with 90.2% (84.2-95.4%) and 91.5% (85.1-96.0%), respectively, in the control group (p<0.0001 for aspirin and clopidogrel). Patients in the intervention group were significantly more persistent in the aspirin and clopidogrel treatment than those in the control group. For clopidogrel, 87.2% of patients in the intervention group were still persistent at 12 months compared with only 43.1% in the control group (p<0.0001). CONCLUSIONS: A simple approach of four telephone calls to patients after DES implantation significantly improved 1-year drug adherence to near-perfect scores. Persistence of DAT was also significantly improved by the intervention.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.307
Teacher spread0.278 · 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

Citations73
Published2013
Admission routes2
Has abstractyes

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