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Record W4327892736 · doi:10.1093/ehjacc/zuad027

In perspective: the patient at the heart of research in acute cardiovascular care

2023· article· en· W4327892736 on OpenAlexaff
Ross J Thomson, Alex Warren, Steven Pimento, Eddy Fan, Alastair Proudfoot

Bibliographic record

VenueEuropean Heart Journal Acute Cardiovascular Care · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsToronto General HospitalUniversity of Toronto
FundersMedical Research CouncilBarts Charity
KeywordsPerspective (graphical)MedicineIntensive care medicineAcute careCardiologyInternal medicineMedical emergencyHealth careComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Patient and public involvement is a fundamental part of research design and is increasingly required by research funders and regulators. In addition to the moral and ethical arguments in its favour, it has the potential to improve the accessibility and transparency of research and to optimize study recruitment and retention. Whilst clinical trials in acute cardiovascular care have traditionally focussed on 'hard' outcomes, such as mortality or major adverse cardiovascular events, there is increasing recognition that these fail to capture the full breadth of patient experience. Patient-centred outcomes aim to measure things of greater value to patients, using validated tools to quantify symptoms, patient self-reports, or novel outcomes such as days alive and outside hospital. This In Perspective commentary explores the rationale behind patient and public involvement and the background to and evidence supporting the use of patient-centred outcomes and discusses potential challenges and how they can be mitigated.

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)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.007
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.046
GPT teacher head0.342
Teacher spread0.295 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2023
Admission routes1
Has abstractyes

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