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Record W2025993002 · doi:10.1086/421094

Population-Based Laboratory Surveillance for Escherichia coli-Producing Extended-Spectrum  -Lactamases: Importance of Community Isolates with blaCTX-M Genes

2004· article· en· W2025993002 on OpenAlexafffundabout
Johann Pitout, Nancy D. Hanson, Deirdre L. Church, Kevin B. Laupland

Bibliographic record

VenueClinical Infectious Diseases · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of CalgaryCalgary Laboratory Services
FundersUniversity of CalgaryAstraZenecaCreighton UniversityBristol-Myers Squibb
KeywordsEscherichia coliMicrobiologyMedicinePopulationEnterobacteriaceaeGeneBiologyGeneticsEnvironmental health

Abstract

fetched live from OpenAlex

A prospective, population-based laboratory surveillance study was conducted to define the epidemiology of extended-spectrum beta -lactamase-producing Escherichia coli infections in the Calgary Health Region during the years 2000-2002. The incidence was 5.5 cases per 100,000 population per year. The annualized incidence of 3.9 cases per 100,000 population for January through March was significantly lower than the incidence for the other quarters of the year (6.0 per 100,000 population; P<.01). Seventy-one percent of subjects had community-onset disease. Patients aged > or =65 years (22.0 vs. 3.8 cases per 100,000 population per year; P<.0001) and women (9.2 vs. 1.7 cases per 100,000 population per year; P<.0001) had significantly higher rates of infection. Polymerase chain reaction identified 23 (15%) of 157 isolates as positive for blaCTX-M genes from the CTX-M-I subgroup and 87 (55%) from the CTX-M-III subgroup. Ciprofloxacin resistance was independently associated with CTX-M- beta -lactamases (odds ratio, 14.2; 95% confidence interval, 3.69-54.84). Strains of E. coli with blaCTX-M genes commonly cause community-onset infections, and women and older patients are at highest risk.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.015
GPT teacher head0.306
Teacher spread0.291 · 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.

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

Citations191
Published2004
Admission routes3
Has abstractyes

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