K-wire Fixation of Closed Hand Fractures Outside the Main Operating Room Does Not Increase Infections
Bibliographic record
Abstract
Closed reduction and internal fixation (CRIF) of closed hand fractures in the main operating room (OR) is much more expensive than outside of the OR. However, there is a reluctance to fix fractures out of the OR due to the perceived increase in infections. Our goal was to prospectively analyze the infection rates of performing CRIF of closed metacarpal and phalangeal fractures in these two settings. Methods: A multicenter prospective analysis of patients undergoing CRIF of metacarpal or phalangeal fractures inside or outside the OR was performed. Demographic data, injury characteristics, surgery information and postoperative infectious complications were recorded, including cellulitis, frank pus, and osteomyelitis. Results: The study involved 1042 patients with a total of 2265 Kirschner-wires (K-wires). Infection rates were not statistically higher in the 719 patients who had CRIF outside of the OR (cellulitis 2.5%, frank pus 1.4%) compared with the 323 patients with CRIF in the OR group (cellulitis 3.4%, frank pus 2.5%). The OR group had a longer time to operation and a longer procedure time, but a shorter time with the K-wires in place. Conclusion: K-wire fixation of closed hand fractures outside of the OR under field sterility is safe because it does not increase infectious complications compared to CRIF in the main OR under full sterility.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".