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Record W3137885115 · doi:10.3138/jammi-2020-0044

Metronidazole-resistant trichomoniasis: Two Canadian cases

2021· article· en· W3137885115 on OpenAlexaffvenueabout
Monica Cenkowski, Beverly Wudel, Ingrid Baragar, Vanessa Poliquin

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsUniversity of SaskatchewanUniversity of Manitoba
Fundersnot available
KeywordsTinidazoleMetronidazoleTrichomoniasisTrichomonas vaginalisMedicinePopulationInternal medicineDrug resistanceSurgeryGynecologyAntibioticsMicrobiologyBiology

Abstract

fetched live from OpenAlex

Metronidazole-resistant trichomoniasis is a health burden for patients, and limited access to susceptibility testing and treatment is a challenge for Canadian clinicians. These cases emphasize the burden of metronidazole resistance in our population. Herein we describe two cases of metronidazole-resistant trichomoniasis. In one case, a patient underwent five courses of therapy to treat a persistent Trichomonas vaginalis infection. International culture and susceptibility testing revealed resistance to metronidazole and susceptibility to tinidazole. The patient was subsequently lost to follow-up. In another case, a patient was treated with six courses of therapy before their infection had cleared. International culture and susceptibility testing indicated resistance to metronidazole and intermediate resistance to tinidazole. In both cases, metronidazole treatment, either alone or in addition to another therapy, was attempted an average of 3.5 times in escalating dose regimens before switching to tinidazole. Tinidazole proved to be an effective second-line therapy when tolerated by the patient. Until susceptibility testing is available in Canada, clinicians should be aware of access to international susceptibility testing of T. vaginalis to appropriately identify metronidazole-resistant cases and make timely and informed decisions regarding treatment.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.249
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Association of Medical Microbiology and Infectious Disease CanadaSame topicReproductive tract infections researchFrench-language works237,207