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Record W2790261876 · doi:10.1093/ajh/hpy040

Polypill Variants (Quarter Pill Trials)

2018· review· en· W2790261876 on OpenAlexaffabout
Koon Teo, Salim Yusuf

Bibliographic record

VenueAmerican Journal of Hypertension · 2018
Typereview
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsPolypillMedicinePillQuarter (Canadian coin)Traditional medicinePharmacologyInternal medicineAspirin

Abstract

fetched live from OpenAlex

The cardiovascular polypill or fixed-dose combination pill, consisting of 3, 4, or more drugs in a single tablet (or capsule), has been proposed as an effective and convenient therapy in both secondary and primary prevention of cardiovascular disease (CVD). Each of the drugs in the combination has a documented ability to prevent CVD events. The combined effect has been estimated to reduce risk by 75% to 80%. Since the concept was introduced 15 years ago, several polypills are available and their effects on risk factors evaluated. Their effects on individual risk factors, such as hypertension and elevated low-density lipoprotein levels, are similar to the individual drugs separately. Enhancement of adherence of the polypill has also been shown compared to individual drugs given separately. Based on the reductions on the individual risk factors, the reductions in risk are estimated to be substantial. A few large long-term randomized controlled trials are ongoing and will be completed in the next 2 years. If the effects on CVD outcomes are as predicted, this would help the many millions of individuals who are currently not adequately treated or not treated at all. There are however considerable challenges in development and acceptance of the polypill. These include regulatory issues; intellectual property; perception by the public, patients, and physicians; and the role of health systems and societal approach to disease prevention. For the polypill to be accepted and achieve even a part of its potential, multiple barriers outlined in this review have to be overcome.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.923
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.226
GPT teacher head0.405
Teacher spread0.179 · 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 designNot applicable
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

Citations10
Published2018
Admission routes2
Has abstractyes

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