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Record W1886055137

The Clinical Presentation and Diagnosis of Primary Cardiac Amyloidosis

2011· article· en· W1886055137 on OpenAlexaffvenue
Amber Lea Jarvie

Bibliographic record

VenueUBC Faculty of Medicine medical journal · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineHeart failureAmyloidosisCardiac amyloidosisPrimary systemic amyloidosisThoracentesisMalignancyPleural effusionAL amyloidosisPeripheral edemaCardiologyInternal medicineRadiologySurgeryAdverse effect
DOInot available

Abstract

fetched live from OpenAlex

A 67 year old female presented to her family physician with a five month history of progressing shortness of breath and fatigue. Two weeks later, the patient followed-up with cardiology. An echocardiogram revealed normal biventricular systolic function, pulmonary hypertension and mild tricuspid regurgitation. Clinically, the patient had bilateral pedal edema, evidence of pleural effusion and an elevated jugular venous pressure (JVP). Five weeks later she was admitted to hospital for further testing as there was a marked change in her condition. In hospital, a series of investigations were performed including a pulmonary angiogram, thoracentesis, chest computed tomography (CT), venous Doppler of lower extremities and an endomyocardial biopsy. The endomyocardial biopsy demonstrated interstitial and vascular positivity for amyloid by Congo Red stain with apple green birefringence in polarized light. The patient was diagnosed with systemic primary amyloidosis (AL) with cardiac involvement. Primary amyloidosis results from an accumulation of immunoglobulin light chains due to a clonal B cell disorder, often multiple myeloma. Patients progress rapidly and the median survival of primary amyloidosis with heart involvement is 6 months. While the signs and symptoms of congestive heart failure may be recognized with ease, determining the underlying cause of the heart failure may be more difficult. Determination of the underlying cause of heart failure is essential as it will influence the management of the patient . Early intervention may have a significant impact on the patient's response to treatment, especially when the underlying condition involves a malignancy or infiltrative disorder.

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)0.003
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 score0.144
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.050
GPT teacher head0.350
Teacher spread0.300 · 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

Citations0
Published2011
Admission routes2
Has abstractyes

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