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Record W4403632882 · doi:10.1016/j.jacasi.2024.08.016

Myocardial Abnormalities Across the AHA/ACC Stages of Heart Failure in Patients With Diabetes

2024· article· en· W4403632882 on OpenAlex

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

VenueJACC Asia · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsKensington Health
FundersNational Science and Technology Major ProjectFuwai Hospital, Chinese Academy of Medical SciencesChinese Academy of Medical SciencesNatural Science Foundation of Beijing MunicipalityNational Natural Science Foundation of China
KeywordsHeart failureCardiologyDiabetes mellitusInternal medicineMedicineEndocrinology

Abstract

fetched live from OpenAlex

Background: Cardiac magnetic resonance imaging (CMR) could serve as a robust tool for comprehensive evaluation of early changes across heart failure (HF) stages classified by the American Heart Association/American College of Cardiology guideline in diabetes mellitus (DM). Objectives: The authors aimed to explore phenotypic imaging features characterizing DM participants at different HF stages by CMR. Methods: DM participants with preserved ejection fraction who underwent CMR examination between January 2020 and December 2021 were evaluated. Left ventricular strain analysis and myocardial fibrosis was evaluated by CMR. Results: 0.05). Conclusions: Subclinical dysfunction and myocardial fibrosis derived from CMR were progressively remarkable with advancing HF stage in DM. Comprehensive CMR provided sensitive tools for better delineation of DM patients with pre-HF and at risk for HF.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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