Management of acute length-unstable Monteggia fractures in children: A case report
Bibliographic record
Abstract
BACKGROUND: Monteggia fractures are uncommon injuries in paediatric age. Treatment algorithms assert that length-unstable fractures are treated with plate fixation. In this case report, intramedullary fixation of an acute length-unstable Monteggia fracture allowed a stable reduction to be achieved, along with an appropriate ulnar length and alignment as well as radio capitellar reduction despite the fact that the orthopaedic surgeon did not use a plate for the ulnar fracture. The scope of treatment is to avoid the use of a plate that causes periosteal stripping and blood circulation disruption around the fracture. CASE SUMMARY: A four-year-old girl presented at the Emergency Department following an accidental fall off a chair onto the right forearm. The X-ray highlighted a length-unstable acute Bado type 1 Monteggia fracture of the right forearm. On the same day, the patient underwent surgical treatment of the Monteggia fracture. The surgeon preferred not to use a plate to avoid a delay in fracture healing and to allow the micromotion necessary for callus formation. The operation comprised percutaneous fixation with an elastic intramedullary K-wire of the ulnar fracture and, subsequently, humeroradial joint reduction through manual manipulation. The orthopaedic surgeon assessed the stability of the radial head reduction under fluoroscopic control through flexion, extension, pronation and supination of the forearm. Healing of the fracture occurred within six weeks after surgery, as indicated by the presence of calluses on at least three cortices on standard radiographs. Dislocation/subluxation or loss of ulnar reduction was not apparent at the final X-ray examination. CONCLUSION: Intramedullary fixation of unstable Monteggia fractures results in excellent outcomes, provides reliable reduction and causes fewer complications.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".