Chronic Musculoskeletal Conditions Associated With the Cycling Segment of the Triathlon; Prevention and Treatment With an Emphasis on Proper Bicycle Fitting
Bibliographic record
Abstract
Cycling-related injuries account for 20% of all injuries occurring during triathlons. Traumatic injuries caused by falls or accidents are thankfully rare but can be highly variable and very serious in nature. The best approach to these injuries is prevention. The majority of complaints arising from cycling are due to overuse or poor technique. The knee joint, lower back, neck, and Achilles tendon are the most frequently affected anatomic sites. Anterior knee pain, lower back and neck myofascial pain, iliotibial band friction syndrome, and Achilles tendonitis are the most common diagnoses. Initial treatment should always use rest, ice, compression, and elevation. Muscle strengthening and stretching as well as other physical modalities are helpful in the subacute setting. The need for surgery is rare. Improper bike fit contributes to the causation of a significant number of these conditions. Bike geometry may also be altered to alleviate symptoms.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".