Antimicrobial Resistance in Gonorrhea: The Influence of Epidemiologic and Laboratory Surveillance Data on Treatment Guidelines: Alberta, Canada 2001–2007
Bibliographic record
Abstract
OBJECTIVES: To describe the impact of surveillance for antimicrobial resistance (AMR) in Neisseria gonorrhoeae over a 7-year period on treatment guidelines in Alberta, Canada. METHODS: AMR testing data from gonorrhea cases were combined with demographic and risk behavior information collected through surveillance to describe trends and sequential changes to treatment guidelines. RESULTS: Ciprofloxacin resistant gonorrhea (CRG) cultures rose from 1.4% in 2001 to 27.7% in 2007. Of 200 CRG cases, 90% were men, 77% white, median age 29 years (interquartile range: 23-29 years) and 60% were men who have sex with men (MSM). In 2005, only 1 of 28 cases did not fit into travel or MSM categories and treatment guidelines were changed to recommend oral cefixime as the preferred agent in MSM or those with a travel history. Continuous rise in CRG together with locally acquired cases among heterosexuals resulted in ciprofloxacin being removed as a recommended agent for gonorrhea in 2007. CONCLUSIONS: Our data underscores the importance of surveillance in monitoring trends in AMR in gonorrhea so that timely changes to treatment recommendations can be made in response to changing epidemiology.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".