Evaluation of a Diagnostic-Therapeutic Algorithm for Finger Epiphyseal Growth Plate Stress Injuries in Adolescent Climbers
Bibliographic record
Abstract
BACKGROUND: Finger epiphyseal growth plate stress injuries are the most frequent sport-specific injuries in adolescent climbers. Definitive diagnostic and therapeutic guidelines are pending. PURPOSE: To evaluate a diagnostic-therapeutic algorithm for finger epiphyseal growth plate stress injuries in adolescent climbers. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: On the basis of previous work on diagnostics and treatment of finger epiphyseal growth plate stress injuries (EGPIs) in adolescent climbers, we developed a new algorithm for management of these injuries, which was implemented into our clinical work. During a 4-year period, we performed a prospective multicentered analysis of our patients treated according to the algorithm. Climbing-specific background was evaluated (training years, climbing level, training methods, etc); injuries were analyzed (Salter-Harris classification and UIAA MedCom score [Union Internationale des Associations d'Alpinisme]); and treatments and outcomes were recorded: union, time to return to climbing, VAS (visual analog scale), QuickDASH (shortened version of the Disabilities of the Arm, Shoulder, and Hand), and a climbing-specific outcome score. RESULTS: Within the observation period, 27 patients with 37 independent EGPIs of the fingers were recorded (mean ± SD age, 14.7 ± 1.5 years; 19 male, 8 female; 66.7% competitive athletes). Regarding maturity at time of injury, the mean age at injury did not differ by sex. Average UIAA climbing level was 9.5 ± 0.8, with 6 ± 4.6 years of climbing or bouldering and 14 ± 9.1 hours of weekly climbing-specific training volume. Among the 37 injuries there were 7 epiphyseal strains, 2 Salter-Harris I fractures, and 28 Salter-Harris III fractures (UIAA 1, n = 7; UIAA 2, n = 30). Thirty-six injuries developed through repetitive stress, while 1 had an acute onset. Twenty-eight injuries were treated nonoperatively and 9 surgically. Osseous union was achieved in all cases, and there were no recurrences. The time between the start of treatment and the return to sport was 40.1 ± 65.2 days. The climbing-specific outcome score was excellent in 34 patients and good in 3. VAS decreased from 2.3 ± 0.6 to 0.1 ± 0.4 after treatment and QuickDASH from 48.1 ± 7.9 to 28.5 ± 3.3. CONCLUSION: The proposed management algorithm led to osseous union in all cases. Effective treatment of EGPIs of the fingers may include nonsurgical or surgical intervention, depending on the time course and severity of the injury. Further awareness of EGPI is important to help prevent these injuries in the future.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".