Antimicrobial activity of temocillin on ceftriaxone-resistant and ceftriaxone-susceptible isolates of <i>Neisseria gonorrhoeae</i>
Bibliographic record
Abstract
In Europe, the notification rate of Neisseria gonorrhoeae (Ng) increased by 321% between 2014 and 2023; MSM accounted for more than half of the reported cases (58%) in 2023.1 Consequently, Ng has become a major public health concern. European guidelines for uncomplicated gonococcal infections recommend first line treatment with a single dose of ceftriaxone 1 g administered intramuscularly.2 However, XDR-Ng strains have emerged in Southeast Asia3 and have been recently reported in Europe.4 The increasing emergence of XDR strains supports the need for other treatments against Ng.5 Temocillin, a 6-α-methoxy derivative of ticarcillin β-lactam introduced in the 1980s, has a narrow spectrum of activity against Gram-negative bacteria, including Neisseria sp., and can be administrated either intramuscularly or intravenously. Temocillin had clinical breakpoints for treatment of Enterobacterales involved in urinary tract infections (16 mg/L), but not for Ng, and the literature on the susceptibility of Ng to temocillin is sparse.6 The aim of this study was to determine the distribution of MICs for temocillin among Ng isolates, including those resistant against cefixime and ceftriaxone.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".