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Record W4288066216 · doi:10.1097/pec.0000000000001834

Coarctation of the Aorta in Adolescence

2019· article· en· W4288066216 on OpenAlexaff
Imran Asad, Michelle Lee, Rudaina Banihani, Peter Wong, Yousef Etoom

Bibliographic record

VenuePediatric Emergency Care · 2019
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsSt Joseph's Health CentreUniversity of TorontoSunnybrook Health Science CentreHospital for Sick Children
Fundersnot available
KeywordsMedicineCoarctation of the aortaAsymptomaticPhysical examinationBlood pressureHeadachesDifferential diagnosisPediatricsSurgeryAortaInternal medicinePathology

Abstract

fetched live from OpenAlex

Abstract Although coarctation of the aorta (CoAo) is a congenital anomaly, it can pose a diagnostic challenge in those presenting beyond neonatal period, as some patients can remain asymptomatic until complications of hypertension develop later in life. Careful physical examination can play an important role in timely diagnosis and prevention of complications. We present 2 cases of adolescents with undiagnosed CoAo who both presented with nonspecific headaches and hypertension. Both were initially misdiagnosed as essential hypertension until careful detailed physical examination later detected weak/absent femoral pulses and discrepancy in upper and lower limb blood pressures. These findings raised the clinical suspicion of CoAo, which was confirmed on further investigations. Our cases highlight the importance of considering CoAo in the differential diagnosis of hypertension in adolescents. These cases also stress the significance of detailed cardiac examination including 4-limb blood pressure and femoral pulses in a patient presenting to the emergency department with high blood pressure irrespective of the primary complaint.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.266
Teacher spread0.259 · 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 designNot applicable
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

Citations2
Published2019
Admission routes1
Has abstractyes

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