MétaCan
Menu
Back to cohort
Record W7146958018 · doi:10.1093/eurjcn/zvaf211

Perspectives on caregiver-reported outcomes in cardiovascular diseases today and in future healthcare services: a statement of Association of Cardiovascular Nursing & Allied Professions (ACNAP), Association for Acute CardioVascular Care (ACVC), the Heart Failure Association (HFA), ESC Council on Stroke, and Global Heart Hub, the International Alliance of Heart Patient Organisations

2025· article· en· W7146958018 on OpenAlexaff
Irene Lie, Britt Borregaard, Suzanne Fredericks, Annie Costelloe, Angela Durante, Johannes Grand, Loreena Hill, Rani Khatib, Martha Kyriakou, E. Lambrinou, Angela Massouh, Lis Neubeck, F Schiele, Marco Proietti, José Miguel Rivera‐Caravaca, David R Thompson, Philip Moons

Bibliographic record

VenueEuropean Journal of Cardiovascular Nursing · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAssociation (psychology)Statement (logic)PopulationHealth carePopulation ageingMEDLINEClinical Practice

Abstract

fetched live from OpenAlex

A rapidly ageing population implies an increasing demand for informal caregivers. Caregiver-reported outcomes (CROs) can provide valuable insights into caregivers' experiences of their own health, the burden of tasks, and the need for support. This scientific statement provides a comprehensive overview of CROs in populations with cardiovascular diseases (CROsCVD). The existing CROs measure impact of caregiving; caregiver skills and preparedness; caregiver emotional and psychological impact; and caregiver support. The integration of CROs into clinical practice, alongside the development of more specific and culturally adaptive tools, will enhance the recognition of caregivers as key stakeholders in CVD management.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.304
Teacher spread0.290 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Cardiovascular NursingSame topicCardiac Health and Mental HealthFrench-language works237,207