Non-operative management of metacarpal II-IV fractures: A retrospective study from a tertiary hand unit
Bibliographic record
Abstract
Metacarpal fractures produce significant hand disability, and non-operative management of these fractures can produce satisfactory functional outcomes with few complications. However, most studies assessing non-operative outcomes of metacarpal fractures revolves around metacarpals I and V, which possess different anatomy. Therefore, further investigation into outcomes after non-operative treatment of metacarpals II-IV is required to inform management decisions and allow modification of the rehabilitation protocols to specific fracture patterns. All records for 76 non-operative patients presenting with fractures of metacarpals II-IV to our tertiary centre in the year 2019 were retrospectively reviewed. Patients were treated with thermoplastic splinting or fibreglass casting with a rehabilitative exercise programme. Range of motion (ROM) of the Metacarpophalangeal (MCPJ), Proximal Interphalangeal (PIPJ), and Distal Interphalangeal joints (DIPJ), return to work time, and complications were assessed at 12 weeks post-treatment. Mean return to work time was 5.4 weeks, and patients did not report any serious adverse events; the main complication reported was tenderness on palpation (20%). The MCPJ exhibited the poorest ROM (9° flexion reduction relative to the healthy hand). Metacarpal II fractures were associated with significantly worse MCPJ flexion than metacarpal III (p = 0.022) and metacarpal IV (p = 0.049) fractures. Fractures of the metacarpal base were associated with superior MCPJ flexion (p = 0.004) but longer return to work time (p = 0.042) than head fractures. Spiral fractures were associated with shorter return to work time (p = 0.043) and superior ROM results (p = 0.041). In conclusion, outcomes of the non-operative treatment of metacarpal II-IV fractures are highly dependent on the location and pattern of the fracture, and this should be considered during clinical decision making.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".