MétaCan
Menu
Back to cohort
Record W1913442086 · doi:10.1086/588294

<i>Editorial Commentary:</i>Decreased Effectiveness of Metronidazole for the Treatment of<i>Clostridium difficile</i>Infection?

2008· editorial· en· W1913442086 on OpenAlexaboutno aff
Ed J. Kuijper, Mark H. Wilcox

Bibliographic record

VenueClinical Infectious Diseases · 2008
Typeeditorial
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
FundersNabriva TherapeuticsPfizer
KeywordsOutbreakClostridium difficileClindamycinMedicineMetronidazoleMicrobiologyAntibioticsAntibiotic resistanceVirologyBiology

Abstract

fetched live from OpenAlex

Since the emergence of a new virulent strain of Clostridium difficile—characterized as toxinotype III, North American PFGE type 1 (NAP1), restriction endonuclease analysis group type BI, and PCR ribotype 027 (type 027)—multiple outbreaks have been reported in North America and Europe [1, 2]. The first reports were from Canada, where the province of Quebec was the earliest and most severely affected [3]. In the United States, at least 38 states have been affected by the new emerging strain [4]. Outbreaks in the United Kingdom and The Netherlands have been followed by a rapid spread of the strain throughout Europe, now including 18 countries [5]. A worrisome new development is outbreaks in Europe attributable to clindamycin-resistant NAP1/027 strains (MIC, >256 mg/L) that harbor the ermB gene [6]. Clindamycin has been considered to be a “protective” antibiotic for the development of C. difficile–associated disease (CDAD) attributable to NAP1/027, but resistance to this agent increases the risk of C. difficile infection in patients, and the use of this agent may be an important factor contributing to the persistence and spread of this strain [7].

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)0.005
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.027
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0040.004
Open science0.0050.001
Research integrity0.0270.022
Insufficient payload (model declined to judge)0.0120.009

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 head0.030
GPT teacher head0.375
Teacher spread0.345 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations53
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueClinical Infectious DiseasesSame topicClostridium difficile and Clostridium perfringens researchFrench-language works237,207