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Record W4393386407 · doi:10.3138/jammi-2023-0003

A case report of <i>Capnocytophaga canimorsus</i> meningitis with failure of ceftriaxone therapy

2024· article· en· W4393386407 on OpenAlexafffundvenue
Emily C Wildman, Nicole K. Brockman, Bonnie Meatherall

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsUniversity of CalgaryWestern University
FundersCumming School of Medicine, University of Calgary
KeywordsCeftriaxoneMedicineMeningitisPenicillinCapnocytophagaFlavobacteriaceaeSurgeryIntensive care medicineAntibioticsMicrobiologyBacteria

Abstract

fetched live from OpenAlex

Background: Capnocytophaga canimorsus is a gram-negative zoonotic organism that has the potential to cause devastating human infection. Historically, treatment with beta-lactams including penicillin and ceftriaxone has been effective. Methods: We describe a complicated case of C. canimorsus meningitis in a 70-year-old female following a superficial puncture wound from her dog’s teeth. Results: The case described here was complicated by seizures following treatment with ceftriaxone therapy. This case is also the first reported case of C. canimorsus meningitis associated with moyamoya disease and fibromuscular dysplasia. Conclusions: Physicians should be aware of the possibility of ceftriaxone-resistant C. canimorsus and have a low threshold to broaden antimicrobial coverage in the absence of clinical improvement. We also raise the possibility of an association between vasculopathies and unusual infections like C. canimorsus.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.005
GPT teacher head0.212
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations3
Published2024
Admission routes3
Has abstractyes

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