Cardiovascular disease markers in type 2 diabetes: the effects of a moderate home-based exercise training programme
Bibliographic record
Abstract
UNLABELLED: Patients with T2DM have an increased risk of CVD. Prevention of CVD represents the major goal of all treatment of T2DM, and early intervention in those patients at particularly high risk is important.We measured the insulin sensitivity and plasma biomarkers of CVD to determine whether a home-based exercise training program improves biomarker levels and insulin sensitivity. Patients with T2DM (n=12), IGT (n=4) and healthy control subjects (n=9) were studied before and after eight weeks of exercise training by rowing ergometry at 65-70% of peak oxygen uptake. CONCLUSIONS: 1) patients with T2DM have elevated plasma concentrations of CVD biomarkers compared to the matched control and IGT groups; 2) a moderate to vigorous intensity home-based training program did not reduce plasma concentrations of these CVD markers; 3) insulin sensitivity improved as a result of exercise training in the control group, but not in the T2DM group.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".