Bibliographic record
Abstract
Allergic contact dermatitis associated with topical antimicrobial agents is an increasing problem in the postoperative wound care period. We reviewed the topical antimicrobial agents most commonly used postoperatively in North America and Europe, examined the incidence of allergic contact dermatitis from each agent, and provided guidelines for the use of topical antimicrobials on closed and open wounds in the postoperative period. Neomycin was the most common cause of allergic contact dermatitis both in the general patch-tested population (11%) and in the postsurgical population. Bacitracin was also a common culprit, although at a lower rate (8%). There is a risk of co-reactivity between these two agents. Polymyxin B and mupirocin were not significant allergens. The rate of postoperative infectious complications in dermatologic surgery (1-2%) was similar to the rate of allergic contact dermatitis from topical antimicrobials (1.6-2.3%). We concluded that for closed wounds, the use of topical neomycin postoperatively should be avoided. White petrolatum is an efficacious and cost-effective alternative for closed wounds. For open wounds, topical antimicrobials that do not contain neomycin should be recommended.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".