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Record W2971645746 · doi:10.1017/s1047951119002129

An unusual case of pericardial effusion

2019· article· en· W2971645746 on OpenAlexaffabout
Aimann Surak, Grace I. Bravo, Amanda McMurray, Luis Altamirano‐Diaz, Sepideh Taheri

Bibliographic record

VenueCardiology in the Young · 2019
Typearticle
Languageen
FieldMedicine
TopicPericarditis and Cardiac Tamponade
Canadian institutionsChildren's Hospital of Western OntarioLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicinePericardial effusionCardiologyRadiology

Abstract

fetched live from OpenAlex

We report a case of a 13-year-old male with trisomy 21 in Southwestern Ontario, Canada, who presented with bilateral pneumonia, pericardial effusion, and peripheral oedema. The pericardial effusion did not respond to standard treatment options. Evaluation revealed severe dietary restriction, consistent with kwashiorkor. Hospital course was complicated by severe hypoalbuminaemia, hypocalcaemia, hypomagnesaemia, and hypophosphataemia. The pericardial effusion and other findings resolved gradually upon slow introduction of a well-balanced diet and adequate caloric and protein intake. Kwashiorkor is an unusual cause of pericardial effusion and can be overlooked especially in developed countries. It is a type of protein-calorie malnutrition often seen in children of impoverished countries and famine. It is a result of insufficient protein intake in the context of adequate caloric intake. Pericardial effusion not responding to usual treatment is a challenge, and other aetiologies must be considered. Malnutrition is often underdiagnosed or misdiagnosed in developed countries with devastating outcomes if unrecognised. This makes it imperative to consider this diagnosis, recognise potential risk factors, and be prepared to accurately assess overall nutritional status.

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)0.000
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 score0.123
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.289
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 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
Published2019
Admission routes2
Has abstractyes

Explore more

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