A Randomized, Blinded Study to Validate the Merz Hand Grading Scale for Use in Live Assessments
Bibliographic record
Abstract
BACKGROUND: The Merz Hand Grading Scale (MHGS) is a 5-point scale used to grade appearance of the dorsum of the hand. The MHGS has been previously validated for assessment of photographed hands but not for live assessment. OBJECTIVE: The purpose of this randomized, blinded study was to validate the MHGS for live assessment of the hands in the clinical setting. METHODS: Three physician raters completed a scale qualification program that included MHGS training, ratings of standardized hand photographs, and statistical analysis for reliability. Eighty-four subjects (28 males, 30% Fitzpatrick skin Types IV-VI, mean age of 42 years), randomized to 2 live assessment sessions for independent and blinded observation of dorsa of their right hands, completed the study. RESULTS: Overall MHGS intrarater weighted Kappa value was 0.74 (0.68-0.79 [CI 95%]). First- and second-time hand-rating agreement scores ranged from 64% to 75%. Interrater weighed Kappa values ranged from 0.59 to 0.71, representing between-rater paired results of each combination of raters. CONCLUSION: High-weighted Kappa values and agreements demonstrate that consistency at different time points can be achieved individually and by different raters for live assessments. The MHGS is a suitable instrument for live assessment in the clinical setting.
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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 | 0.037 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".