Bibliographic record
Abstract
Abstract We report a case of refractory skin abscesses caused by Mycobacterium abscessus resulting from cosmetic surgery. A 25-year-old woman developed recurrent cutaneous infection caused by M. abscessus after multiple cosmetic surgeries in the Dominican Republic. Despite of the removal of infected implants, she failed a 20-month treatment with azithromycin, cefoxitin, and amikacin. The patient presented to our institution 28 months after the initial surgeries and approximately 5 months after initiation of her latest antimicrobial regimen of azithromycin, imipenem, and amikacin. Here, she was restarted on cefoxitin 2 g daily, amikacin 750 mg daily, and azithromycin 1000 mg daily. She completed an additional 4 months (a total of 9 months) of therapy with complete clinical resolution. In conclusion, clinical suspicion of M. abscessus infection is essential for the diagnosis. Patient compliance is integral to a successful outcome because the treatment involves prolonged duration, continuous intravenous antibiotics, and multiple potential adverse effects.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.127 | 0.038 |
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".