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Record W2895335986 · doi:10.14740/cr741w

<i>Corynebacterium diphtheriae</i> Native Aortic Valve Endocarditis in a Patient With Prosthetic Mitral Valve: A Rare Presentation

2018· article· en· W2895335986 on OpenAlexvenueno aff
Orathai Pachirat, Danon Kaewkes, Burabha Pussadhamma, George Watt

Bibliographic record

VenueCardiology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCorynebacterium diphtheriaeCardiologyInternal medicineMitral valve replacementEndocarditisAortic valve replacementAortic valveMitral regurgitationMitral valveHeart failureInfective endocarditisRegurgitation (circulation)Mechanical valveStenosisSurgeryDiphtheriaPathology

Abstract

fetched live from OpenAlex

Infective endocarditis due to non-toxigenic Corynebacterium diphtheriae is uncommon. We describe the case of a 42-year-old male with a history of mitral valve replacement with prosthetic valve for 4 years. He presented with fever, weight loss, dyspnea on exertion and orthopnea. The echocardiography demonstrated large vegetation attached on the left coronary cusp of the aortic valve with moderately severe aortic regurgitation but sparing of the prosthetic mitral valve. Three separate blood cultures grew Corynebacterium species. The patient underwent aortic valve replacement due to valvular dysfunction and congestive heart failure. C. diphtheriae DNA was detected by 16 S rDNA polymerase chain reaction (PCR) from the heart valve tissue. The patient recovered completely with combine antibiotics and surgical intervention. He was discharged from the hospital with good clinical outcome. Cardiol Res. 2018;9(5):314-317 doi: https://doi.org/10.14740/cr741w

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.356
Teacher spread0.321 · 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 designCase report
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

Citations11
Published2018
Admission routes1
Has abstractyes

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