The Use of Elbow Arthroscopy for Management of the Pediatric Elbow: A Systematic Review of Indications and Outcomes
Bibliographic record
Abstract
PURPOSE: The purpose of this review was to systematically examine the literature surrounding elbow arthroscopy for pediatric patients and to assess indications, functional outcomes, and complication rates. METHODS: This systematic review was carried out in accordance with PRISMA guidelines. EMBASE, PubMed, and MEDLINE were searched for relevant literature from inception until December 2019, and studies were screened by 2 reviewers independently and in duplicate for those investigating elbow arthroscopy in a pediatric population (<18 years). Editorials, review articles, and case reports were excluded. Demographic data and data on surgical indications, treatment outcomes, and complications were recorded. A methodological quality assessment was performed for all included studies using the Methodological Index for Non-Randomized Studies. RESULTS: Overall, 19 studies, all of level IV evidence, were identified with a total of 492 patients (513 elbows). The patient population was 22.3% female with a mean age of 14.0 years (range, 4.0-15.7) and a mean follow-up time of 33.0 months (range, 7.4-96 months). Twelve studies (263 patients) exclusively recruited patients with osteochondritis dissecans (OCD), although other indications for elbow arthroscopy included arthrofibrosis (50 patients), elbow fracture (37 patients), medial ulnar collateral ligament injury (31 patients), and posterior impingement (17 patients). All 13 reporting studies showed a significant improvement in the elbow flexion-extension arc, and 4 of 5 that reported a functional outcome score before and after surgery demonstrating a significant improvement. Last, the overall complication rates ranged from 0% to 23.8%, with a total of 8 instances of neurological injury (5 ulnar, 2 radial, 1 unspecified), all being transient and resolving within 3 to 6 months. CONCLUSION: Although elbow arthroscopy is primarily being performed for OCD in children and adolescents, there is evidence surrounding several other potential indications. Case series published to date have demonstrated significant improvements in functional outcomes and low rates of major complications. LEVEL OF EVIDENCE: Level IV, systematic review of level IV studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".