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Record W4410048829 · doi:10.4081/cardio.2025.70

iCARDIO Alliance Global Implementation Guidelines on Heart Failure 2025

2025· article· en· W4410048829 on OpenAlex
Vijay Chopra, Muhammad Shahzeb Khan, Magdy Abdelhamid, William T. Abraham, Offer Amir, Stefan D. Anker, J. Atherton, Fernando Bacal, Ralph Stephan von Bardeleben, Dulce Brito, Lucrecia María Burgos, Javed Butler, Maria Rosa Costanzo, Albertino Damasceno, Justin A. Ezekowitz, Ishaque Hameed, S Harikrishnan, Tiny Jaarsma, Anuradha Lala, Ileana L. Piña, Clara Saldarriaga, David Sim, John R. Teerlink, Nqoba Tsabedze, Hiroyuki Tsutsui, Jing YU, Yuhui Zhang, Mohammad Zubaid, Nikhil Balankhe, Juan Esteban Gómez‐Mesa, James L. Januzzi, Marvin A. Konstam, Rhonda E. Monroe, Elijah Ogola, Vinayagam Palaniappan, Mark C. Petrie, Fausto J. Pinto, Girish Rajadhyaksha, Amina Rakisheva, Carlos E. Ramos, Víctor Rossel, Naoki Sato, P. Christian Schulze, Andrew Sindone, Hadi Skouri, Harriette G.C. Van Spall, Aistė Štaraitė, L W Stevenson, Kadhim Sulaiman, Tzung‐Dau Wang, Michael Böhm, Andrew J.S. Coats, Shelley Zieroth

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Cardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSt. Boniface HospitalPopulation Health Research InstituteUniversity of AlbertaUniversity of Manitoba
FundersNational Taiwan University HospitalUniversität des SaarlandesNational Taiwan UniversityHeart Research InstituteMcMaster UniversityVanderbilt University
KeywordsContext (archaeology)AllianceRisk analysis (engineering)Health careMedicinePopulationResource (disambiguation)Heart failureIntensive care medicineBusinessComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Inconsistencies in healthcare access, varying infrastructure, resource constraints and diverse local practices as well as practical and political issues restrict the global applicability of currently available guidelines. There is a need for universal recommendations that address the unique challenges faced by patients and healthcare providers worldwide. Our iCARDIO Alliance Global Implementation Guidelines emphasize the incorporation of novel therapies, while integrating standard of care with the most up-to-date evidence to enable clinicians to optimize patient care. This document is about heart failure (HF), including acute and chronic heart failure, heart failure with reduced ejection fraction and heart failure with preserved ejection fraction as well as cardiomyopathies. Context-specific recommendations tailored to individual patient needs are highlighted providing a thorough evaluation of the risks, benefits, and overall value of each therapy, aiming to establish a standard of care that improves patient outcomes and reduces the burden of hospitalization in this susceptible population. These guidelines provide evidence-based recommendations that represent a group consensus considering the many other published guidelines that have reviewed many of the issues discussed here, but they also make new recommendations where new evidence has recently emerged. Most importantly these guidelines also provide recommendations on a number of issues where resource limitations may put constraints on the care provided to HF patients. Such "economic adjustment" recommendations aim to provide guidance for situations when "Resources are somewhat limited" or when "Resources are severely limited". Hence, this document presents not only a comprehensive but also concise update to HF management guidelines thereby aiming to provide a unified strategy for the pharmacological, nonpharmacological, invasive and interventional management of this significant global health challenge that is applicable to the needs of healthcare around the globe.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score0.801

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 head0.032
GPT teacher head0.395
Teacher spread0.363 · 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