Hand Syndromes Associated with Diabetes: Impairments and Obesity Predict Disability
Bibliographic record
Abstract
OBJECTIVE: We determined patterns of disability in diabetic hand conditions and identified factors that contributed to functional limitations. METHODS: Hand assessments were performed on 60 adults with DM1 or DM2 and carpal tunnel syndrome, trigger finger, Dupuytren's disease, or the syndrome of limited joint mobility. The examination included measurement of grip strength, light touch perception, and dexterity, as well as self-reported function using the Disabilities of the Arm, Shoulder and Hand (DASH) instrument and the Medical Outcomes Study Short Form-36 questionnaire. Associations with hand disability were analyzed using correlation and regression. RESULTS: The most frequent presentation was carpal tunnel syndrome (45%) but it was common for patients to present with clinical features associated with more than one hand syndrome (47%). Overall, women had greater difficulties, with significantly higher DASH scores than men [mean 30.3 (95% CI 23.2, 37.5) vs 18.0 (95% CI 12.1, 23.9), respectively; p = 0.01]. Grip strength, dexterity, and obesity were associated with hand disability (p < 0.05). CONCLUSION: In adults with hand syndromes associated with diabetes, disability was related to impaired muscle function and carpal tunnel syndrome. Obesity and overall physical functioning influenced hand disability, particularly in women.
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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 | 0.002 |
| 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".