Single Digit Index Finger Amputation—To Replant or Not?
Bibliographic record
Abstract
Background:Single index finger replantation is often listed as a contraindication due to its hindrance of hand function when replanted. Recent studies demonstrate comparable subjective and global functional outcomes for index flexor zone II finger replants versus revision amputations. We therefore sought to identify current opinions of plastic surgery trainees and staff treating single index finger zone II amputations including influential patient and injury characteristics.Methods:With the approval of the Canadian Society of Plastic Surgery, a 17-question survey was sent via email to all listed members on 3 separate occasions. Participation was voluntary and survey responses were compiled and analyzed using SPSS statistical software.Results:Survey response rate was 38.5%. When asked whether the surgeon would replant a single index digit, flexor zone II, sharp amputation, 55.3% of respondents chose “yes,” while 44.7% responded “no.” Staff (51.5%) were less likely to replant a single index digit amputation. Likelihood of replant dropped substantially in crush (12.4%) and avulsion (17.1%) injury. Smoking was the most likely patient characteristic to change a surgeon’s decision (61.9%). Poor range of motion (77.5%) and patient satisfaction (72.5%) were the most frequently listed reasons not to replant.Conclusion:Among Canadian plastic surgeons, there exists disagreement in how single index flexor zone II amputations should be managed. In review of the literature, these notions and previous teaching around replants highlight many inherent surgeon biases with regard to the merit and value of single digit replantation.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".