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Record W2581103973 · doi:10.14740/jocmr2903w

Septic Shock of Unknown Origin: A Case Report of a Pseudoaneurysm of the Mitral-Aortic Intervalvular Fibrosa

2017· article· en· W2581103973 on OpenAlexvenueno aff
Júlio Gil, Hugo Antunes, Bruno Marmelo, Luís Abreu, Maria Luísa Gonçalves, Luís Ferreira dos Santos, José Costa Cabral

Bibliographic record

VenueJournal of Clinical Medicine Research · 2017
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePseudoaneurysmVentricular outflow tractSeptic shockEndocarditisBicuspid aortic valveCardiologyDiastoleShock (circulatory)Infective endocarditisComplicationSurgeryInternal medicineAortic valveSepsisBlood pressure

Abstract

fetched live from OpenAlex

Pseudoaneurysm of the mitral-aortic intervalvular fibrosa (P-MAIVF) is a rare complication of infective endocarditis and trauma, particularly of aortic valve surgery. Clinical symptoms are usually unspecific and generally due to complications. Transesophageal echocardiography (TEE) is the most commonly used exam to diagnose P-MAIVF. The main echocardiographic feature is the presence of a cavity communicating with the left ventricular outflow tract that expands during systole and collapses during diastole. Most frequent complications are formation of a fistulous tract and compression of adjacent structures. Surgical correction is usually the treatment of choice. The authors describe a case of a female patient with a septic shock of unclear origin. After antibiotic therapy and organ-supporting measures without apparent improvements, a TEE revealed infective endocarditis, complicated with P-MAIVF. Despite adequate treatment, the patient did not survive for long enough to be submitted to surgical repair.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0040.003
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.293
GPT teacher head0.574
Teacher spread0.281 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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