Prognostic Factors of Function in Nonoperatively Treated Radial Head Fractures: A Prospective Cohort Study
Bibliographic record
Abstract
OBJECTIVES: To identify patient-related factors and fracture characteristics influencing the functional outcomes of nonoperatively treated radial head fractures and to determine function at 1 year. DESIGN: Prospective cohort study. SETTING: Academic Level 1 trauma center. PATIENTS/PARTICIPANTS: Consecutive isolated radial head fractures fitting the inclusion criteria between May 2013 and July 2016. INTERVENTION: Nonoperative treatment of isolated radial head fractures. OUTCOME MEASUREMENTS: Logistic regressions between potential prognostic factors and function assessed with the Mayo Elbow Performance Score (MEPS), the Disabilities of the Arm, Shoulder, and Hand (DASH) score, and range of motion at 1.5-3-6-12 months. RESULTS: One hundred fourteen patients were included (78% Mason I [OTA/AO 2R1B1], 20% Mason II [OTA/AO 2R1B3], and 2% Mason III [OTA/AO 2R1C3]). Mean MEPS and DASH score at the last follow-up were excellent [96.4 ± 7.6 and 3.7 ± 8.6] with, respectively, 79.8% and 92.7% of satisfactory results. Depressive symptoms at injury baseline (Quick Inventory of Depressive Symptomatology > 5) are a constant predictor of unsatisfactory function (MEPS <90 or DASH >17]). Older age and female sex were all linked to worse function at the first follow-ups ( P < 0.05), whereas lower socioeconomic class and receiving financial compensations were associated to unsatisfactory function at 1 year ( P < 0.05). CONCLUSIONS: Although most nonoperatively treated radial head fractures heal with excellent function, some patients still exhibit unsatisfactory results at 1 year. Symptoms of depression at injury baseline are a constant and significant predictor of unsatisfactory function. Early detection of depressive symptoms would allow for interventions that may optimize function. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".