In vitro fatigue of human flexor digitorum tendons
Bibliographic record
Abstract
Carpal tunnel syndrome and stenosing tenosynovitis (i.e., trigger finger) are common work-related musculoskeletal disorders (WMSDs) that have been linked to overuse of the flexor digitorum profundus (FDP) and flexor digitorum superficialis (FDS) tendons of the hand. These injuries occur in response to repetitive loading; as such, they may be characterized using fatigue failure phenomenon. Current WMSD evaluation tools for carpal tunnel syndrome and trigger finger are built upon fatigue data from lower-limb tendons, however this may lead to inaccurate conclusions when assessing overuse injury risk at the wrist. Therefore, the purpose of this study was to characterize the fatigue behaviour of FDP and FDS tendons. We found that similar to other tendons, cyclically loaded FDP and FDS tendons illustrated a logarithmic relationship between applied stress and fatigue life, however the exact parameters of the FDP/FDS stress-fatigue life relationship were unique and may improve the accuracy of current carpal tunnel syndrome and trigger finger WMSD evaluation tools. We also observed that creep and damage rate had the strongest correlations with fatigue life, suggesting that these metrics may represent promising future directions for WMSD risk evaluation.
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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 | 0.001 | 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 | 0.001 | 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".