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Record W4413831804 · doi:10.5334/gh.1457

WHF Roadmap on Single Pill Combination Therapies

2025· review· en· W4413831804 on OpenAlex
Enrico G. Ferro, Gautam Satheesh, José M. Castellano, Albertino Damasceno, Okeoma Erojikwe, Mark D. Huffman, Vilma Irazola, Philip Joseph, Fernando Laņas, Elijah Ogola, Pedro Ordúñez, Pablo Perel, Daniel Piñeiro, Izabella Uchmanowicz, Orly Vardeny, Ruth Webster, Habib Gamra, Thomas A. Gaziano, Adrianna Murphy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Heart · 2025
Typereview
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersWorld Heart Federation
KeywordsMedicinePillPharmacology

Abstract

fetched live from OpenAlex

Cardiovascular diseases (CVDs) are the leading global cause of mortality, with treatment adherence posing a major barrier to effective prevention and control. Single pill combinations (SPCs), also known as fixed-dose combinations, simplify treatment by combining multiple agents into one pill, improving adherence and reducing cardiovascular risk. This World Heart Federation Roadmap synthesizes the latest clinical evidence and identifies key barriers to SPC implementation, including limited manufacturing, affordability, regulatory complexity, and inconsistent guideline inclusion. Drawing on global expert input and health systems analysis, the Roadmap outlines practical, context-specific solutions to improve access, scale-up, and integration of SPCs into national strategies, especially in low- and middle-income countries. It serves as a tool for policymakers, clinicians, and advocates to drive progress in aligning cardiovascular prevention efforts with evidence-based, people-centred care.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.041
GPT teacher head0.363
Teacher spread0.322 · 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