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Record W2800914251 · doi:10.14740/cr595w

Echocardiographic Features in <i>Bartonella</i> Endocarditis: A Case Series

2018· article· en· W2800914251 on OpenAlexvenueno aff
Orathai Pachirat, Sompop Prathanee, George Watt

Bibliographic record

VenueCardiology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndocarditisInternal medicineCardiologyHeart failureInfective endocarditisRegurgitation (circulation)Bartonella henselaeMitral regurgitationSerologyBartonellaAortic valveVirology

Abstract

fetched live from OpenAlex

Bartonella spp. are emerging pathogens that are reported as the cause of blood culture-negative endocarditis ( BCNE). However, echocardiographic features and assessment of this endocarditis remains unclear. Four patients with B. henselae endocarditis were identified. All patients had underlying cardiac conditions: rheumatic heart disease in three, congenital heart disease in one. Evidence of vegetations was found on the aortic valve in all patients with large, highly mobile vegetations and severely destroyed valves demonstrated by the transthoracic echocardiogram leading to severe aortic regurgitation and heart failure. The vegetations were found on both the aortic and the mitral valve in two patients. All patients had negative blood cultures and underwent urgent valves replacement due to heart failure with good clinical outcome. The diagnosis of B. henselae endocarditis is based mainly on clinical suspicion in BCNE, specific serologic testing and polymerase chain reaction (PCR) detection on excised valve tissue. Cardiol Res. 2018;9(2):116-119 doi: https://doi.org/10.14740/cr595w

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)0.002
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 score0.207
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.052
GPT teacher head0.390
Teacher spread0.338 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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