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Record W2236690878 · doi:10.1155/2014/802481

Bacteremia Caused by <i>Eggerthella lenta</i> in an Elderly Man with a Gastrointestinal Malignancy: A Case Report

2014· article· en· W2236690878 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBacteremiaMalignancyMedicineInternal medicineMicrobiologyBiology

Abstract

fetched live from OpenAlex

Eggerthella lenta is an anaerobic, Gram-positive bacillus commonly found in the human digestive tract. Occasionally, it can cause life-threatening infections. Bacteremia due to this organism is always clinically significant and is associated with gastrointestinal diseases and states of immune suppression. The authors report a case involving an elderly man with a newly diagnosed gastrointestinal malignancy who developed bacteremia caused by E lenta, treated successfully using empirical therapy with vancomycin and piperacillin-tazobactam, followed by directed therapy with metronidazole once the identity and antibiotic susceptibility of the organism was established. The present case reinforces the connection between E lenta bacteremia with gastrointestinal malignancy and highlights the importance of searching for a source of bacteremia due to this organism.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.004
GPT teacher head0.217
Teacher spread0.212 · 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