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Record W2978553720 · doi:10.14740/cr904

Purulent Pericarditis Caused by <i>Bacteroides fragilis</i>: A Rare Complication of Cholangitis

2019· article· en· W2978553720 on OpenAlexvenueno aff
Samer Saouma, Peter C. Olson, Asif Uddin, Jonathan Spagnola, Neville Mobarakai, James Lafferty

Bibliographic record

VenueCardiology Research · 2019
Typearticle
Languageen
FieldMedicine
TopicPericarditis and Cardiac Tamponade
Canadian institutionsnot available
Fundersnot available
KeywordsBacteroides fragilisMedicineComplicationPericarditisCardiologyInternal medicineMicrobiologyAntibiotics

Abstract

fetched live from OpenAlex

Bacterial infection is a rare cause of pericarditis especially in the post-antibiotic era. When compared to viral or idiopathic etiologies, purulent pericarditis carries a higher risk for complications. While most cases are due to Staphylococcus aureus , we present a rare case of pericarditis due to Bacteroides fragilis originating from a liver abscess and leading to pericardial effusion. Our case highlights the need to maintain a high clinical suspicion of bacterial infection when patients present with sepsis and have evidence of pericarditis. Cardiol Res. 2019;10(5):309-311 doi: https://doi.org/10.14740/cr904

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 score0.286
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.348
Teacher spread0.308 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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