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Record W2601460002 · doi:10.1002/ejhf.209

Steps Forward in Regulatory Pathways for Acute and Chronic Heart failure

2015· review· en· W2601460002 on OpenAlexaff
Luca Pani, S. Pecorelli, Giuseppe Rosano, Stefan D. Anker, Andrea Peracino, Laura Fregonese, Krishna Prasad, Guido Rasi

Bibliographic record

VenueEuropean Journal of Heart Failure · 2015
Typereview
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSt. Thomas Hospital
FundersAgenzia Italiana del Farmaco, Ministero della Salute
KeywordsMedicineContext (archaeology)Multidisciplinary approachHeart failureAuthorizationHealth careIntensive care medicineComputer science

Abstract

fetched live from OpenAlex

A workshop was organized by the Agenzia Italiana del Farmaco (AIFA) to discuss unmet needs and ways forward in the development of medicines in heart failure, their rationale, and cost-effective use. An integrated, multidisciplinary approach, including patients' needs and perspectives, was advocated by all the participants as the way to the most effective treatment regimens. More work is needed for reaching consensus on clinical and functional endpoints, for validating patient reported outcomes and measurements of well-being. Similarly, the integration into the clinical programmes of the health technology assessment/payers perspective, in particular, the evaluation of 'real-life' treatment effectiveness and of health as a value, would help in shifting the development and authorization of medicines from the molecule paradigm to their evaluation in the context of the whole health care regimen. Through this kind of workshop, AIFA is trying to build a template for meetings devoted to debate unmet needs with all stakeholders towards tentative road maps for the future.

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)0.029
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.029
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0050.009
Open science0.0020.003
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0060.002

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 head0.316
Teacher spread0.275 · 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 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

Citations12
Published2015
Admission routes1
Has abstractyes

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