Nerve Grafting for Chronic PIN Palsy Due to Radiocapitellar Joint Entrapment 2 Years Following Closed Reduction of a Pediatric Monteggia Fracture-Dislocation: A Case Report With 1-Year Follow-up
Bibliographic record
Abstract
This article describes the first case of successful nerve grafting for posterior interosseous nerve (PIN) palsy secondary to radiocapitellar joint entrapment 2 years following closed reduction (CR) of a pediatric Monteggia fracture-dislocation (MFD). Patient notes were examined. The literature was reviewed to determine whether similar cases or techniques had been reported. A 5-year-old girl presented with a PIN palsy 2 years following CR of an MFD, demonstrating Medical Research Council (MRC) grade 4 wrist and MRC grade 2 finger and thumb extension. Nerve exploration at 27 months revealed a PIN crushed in the radiocapitellar joint with a proximal neuroma-in-continuity and no response to electrical stimulation. Neurolysis and lateral antebrachial cutaneous nerve cable grafting were performed. The decision to pursue nerve grafting was based on the intraoperative appearance of an atrophic PIN with no response to stimulation, but with minimal muscle atrophy, short distance to target muscles, and pediatric patient with extended reinnervation timeline. Full recovery (MRC grade 5 wrist extension and MRC grade 4+ finger and thumb extension) was achieved at 1-year follow-up. We present the first case of successful nerve grafting for PIN palsy secondary to radiocapitellar joint entrapment 2 years following CR of a type III MFD. Even with significant treatment delay, nerve reconstruction should be considered in the pediatric population.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".