Association of adipose tissue infiltration with cardiac function: scoping review
Bibliographic record
Abstract
Evidence suggests that adipose tissue (AT) infiltration in skeletal muscles may negatively influence cardiac function, yet its use as a biomarker remains unclear. This scoping review examined the relationship between AT infiltration and cardiac function in adults. A systematic search of PubMed, CINAHL and SCOPUS identified peer-reviewed studies reporting AT infiltration and cardiac function measures. Excluded were review-type studies, animal studies, abstracts and case series. Study quality was assessed using the Study Quality Assessment Tool (SQAT). Three good-quality studies were included. Findings demonstrated a negative association between AT infiltration and cardiac function parameters, including exercise capacity, left ventricular ejection fraction (LVEF) and heart failure events, in cancer survivors and healthy individuals. There is evidence supporting an association between increased AT infiltration of skeletal muscles and impaired cardiac function, highlighting the need for further research to validate AT infiltration as a potential biomarker. Despite the limited available studies, our findings highlight a distinct association between skeletal muscle AT infiltration and cardiac dysfunction, independent of general obesity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.018 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".