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Record W4409107865 · doi:10.1093/pch/pxaf004

Teenage heartache: A 14-year-old with pleuritic chest pain

2025· article· en· W4409107865 on OpenAlexaff
Ashleigh India Nazareth, Shamma Alzaabi, Mercedes Chan

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineGeneral surgery

Abstract

fetched live from OpenAlex

A 14-year-old transgender male presented with 1 month of worsening intermittent pleuritic chest pain, 2–3 weeks after an upper respiratory infection. A review of systems revealed mild fatigue, low appetite and mild frontal headache without red flags. Examination revealed left-sided ptosis, persistent tachycardia (max 125 bpm), pulsus paradoxus, distant heart sounds and decreased air entry at lung bases. No pericardial rub. C-reactive protein (CRP) 201.9 mg/L (high). Blood count showed microcytic anaemia (haemoglobin 77 g/L). Serum electrolytes, creatinine, urinalysis, liver enzymes and coagulation profile were normal. Troponin 4 ng/L (high). Echocardiogram showed significant pericardial effusion with right atrial collapse. Chest x-ray revealed small pleural effusions (Figure 1). Urgent pericardiocentesis was performed, and Naproxen was started for presumed viral pericarditis. ... Rheumatology was consulted after limited improvement on Naproxen and a negative infectious workup (including tuberculosis). Ophthalmic exam showed inflammatory dacryoadenitis. CT orbit revealed a left lacrimal mass (Figure 2). Biopsy showed scar tissue with few plasma cells, no granulomas or eosinophils, and negative IgG4 staining. Chest CT showed non-specific ground-glass opacities and mild diffuse interlobular septal thickening. Pulmonary function test (PFT) showed a mixed obstructive-restrictive pattern. Serum ANA and IgG4 normal. Myeloperoxidase (MPO)-ANCA was strongly positive >134 U/L, informing diagnosis and management.

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: none
Teacher disagreement score0.751
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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
Published2025
Admission routes1
Has abstractyes

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