Is cardiorespiratory fitness a determinant of cardiomyopathy in the setting of type 2 diabetes?
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine whether high fitness attenuates the defects in left ventricular (LV) structure, function and triglyceride (TG) content in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: Patients (n = 74) with T2DM and ≥1 additional cardiac risk factor were recruited to participate in this cross-sectional study. Outcome measures of interest were LV structure and function by magnetic resonance imaging (MRI) and myocardial TG content by (1)H-magnetic resonance spectroscopy (MRS). The primary exposure variable was cardiorespiratory fitness defined by peak oxygen consumption scaled to fat-free mass (FFM; VO2peak-FFM). RESULTS: Mean age was 53.5 years; 42.9% were women and mean glycosylated haemoglobin (HbA1c) was 8.0% with the mean duration of T2DM 8.2 years. VO2peak-FFM was crudely associated with both LV end systolic (r = 0.35, p = 0.002) and diastolic volumes (r = 0.32, p = 0.004), but not with ejection fraction (r = -0.15, p = 0.206), myocardial TG (r = -0.04, p = 0.734) or early diastolic peak filling rate (PFR; r = -0.01, p = 0.887). In multiple linear regression analyses, among measures of LV structure/function, VO2peak-FFM was independently associated only with LV end-diastolic volume (EDV) (β = 1.037, p = 0.038). CONCLUSION: In individuals with T2DM at increased cardiovascular (CV) risk, cardiorespiratory fitness is not associated with LV morphology, function or myocardial TG content.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".