Reduced skeletal muscle quantity and quality in patients with diabetic polyneuropathy assessed by magnetic resonance imaging
Bibliographic record
Abstract
INTRODUCTION: The aim of this study was to determine whether diabetic polyneuropathy (DPN) is associated with reduced muscle quality using MRI. METHODS: MRIs of the tibialis anterior (TA) muscle were recorded from 9 individuals (5 men) with DPN (∼65 years) and 8 (4 men) age- and gender-matched controls. A magnetization transfer ratio (MTR) and T2 relaxation times of the TA were calculated. RESULTS: Despite equal voluntary activation, the DPN group was ∼37% weaker than controls, with a significantly lower proportion (∼8%) of contractile tissue and lower MTR (0.28 ± 0.03 vs. 0.32 ± 0.02 percent units). T2 relaxation time was significantly longer in the DPN group (77 ± 16 ms) compared with controls (63 ± 6 ms). CONCLUSIONS: These findings indicate a reduction in the structural integrity and myocellular protein density in the TA of those with DPN. Thus, muscle weakness in DPN is likely due to both a loss of muscle mass and a reduction in contractile quality.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".