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Record W2786412880 · doi:10.14740/cr654w

Massive Hemorrhagic Pericardial Effusion With Cardiac Tamponade as Initial Manifestation of Mixed Connective Tissue Disease

2018· article· en· W2786412880 on OpenAlexvenueno aff
Ashraf Abugroun, Osama Hallak, Fátima Ahmed, Safwan Gaznabi

Bibliographic record

VenueCardiology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicPericarditis and Cardiac Tamponade
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiac tamponadePericardial effusionMixed connective tissue diseasePericarditisTamponadePericardial fluidCardiologyInternal medicinePericardial windowConnective Tissue DisorderConnective tissuePathologyDisease

Abstract

fetched live from OpenAlex

Mixed connective tissue disease (MCTD) is a distinct entity of connective tissue disorders characterized by overlapping clinical features of various autoimmune diseases along with the presence of antibodies to ribonucleoprotein (anti-RNP). The prevalence of cardiac involvement in MCTD varies from 13% to 65% and accounts for approximately 20% of MCTD related mortality. In this case, we describe an elderly female patient with multiple complaints without a clear etiology on presentation. Echocardiogram revealed severe rapidly accumulating pericardial effusion causing tamponade necessitating pericardial window. Laboratory investigations showed positive ribonucleoprotein antibodies. Biopsy of pericardial tissue revealed fibrinous pericarditis. While pericarditis is commonly associated with MCTD, pericardial tamponade on the other hand is rarely described. This case highlights a very rare complication of the disease. Early recognition, prompt treatment, and regular follow-up with serial echo are essential for treatment.

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)0.001
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 score0.523
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.397
Teacher spread0.357 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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