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Record W2806989391 · doi:10.14740/gr1006w

Denture-Associated Oral Microbiome and Periodontal Disease Causing an Anaerobic Pyogenic Liver Abscess in an Immunocompetent Patient: A Case report and Review of the Literature

2018· article· en· W2806989391 on OpenAlexvenueno aff
Muhammad B. Hammami, Elizabeth M. Noonan, Anuj Chhaparia, Feras Al Khatib, Juri Bassuner, Christine Hachem

Bibliographic record

VenueGastroenterology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicAmoebic Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFusobacterium nucleatumMedicineLiver abscessFusobacteriumAnaerobic exercisePeriodontal diseaseDiseaseEndocarditisStomatitisAnaerobic infectionGastroenterologyAbscessBacteroidesInternal medicineSurgeryPeriodontitisPorphyromonas gingivalisPhysiologyBacteria

Abstract

fetched live from OpenAlex

Pyogenic liver abscesses (PLA) develop from the spread of infection through the portal circulation, biliary infections or arterial hematogenous seeding in the setting of systemic infections. PLA are often poly-microbial and are uncommonly reported to be due to anaerobic species. We report the case of a previously healthy, immunocompetent 63-year-old man with hepatic abscesses as a result of Fusobacterium nucleatum periodontal disease. In addition, a systemic review of the literature is performed. Fusobacterium is a very rare cause of PLA in immunocompetent hosts with only a handful of cases reported in the literature. Although anaerobic infections such as Fusobacterium most often occur in immunocompromised individuals, clinicians should have a high index of suspicion in immunocompetent patients with periodontal disease or chronic stomatitis. Gastroenterol Res. 2018;11(3):241-246 doi: https://doi.org/10.14740/gr1006w

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)0.000
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 score0.028
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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