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Record W4389687920 · doi:10.46747/cfp.6912839

Management of acute supraventricular tachycardia in children

2023· review· en· W4389687920 on OpenAlexvenueno aff
Emaan Abbasi, Sakethram Saravu Vijayashankar, Ran D. Goldman

Bibliographic record

VenueCanadian Family Physician · 2023
Typereview
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSupraventricular tachycardiaPalpitationsCardioversionCardiologyTachycardiaAnesthesiaEmergency departmentInternal medicineSupraventricular arrhythmiaElectrocardiographyAtrial fibrillation

Abstract

fetched live from OpenAlex

QUESTION: Recently, a 3-year-old patient in my practice urgently needed to go to the emergency department. The patient was found to have supraventricular tachycardia (SVT) and needed immediate treatment with adenosine. What evidence is currently available for management of SVT in children? ANSWER: Supraventricular tachycardia is a common cardiac condition in the pediatric population that manifests as a narrow QRS complex tachycardia on electrocardiography. Symptoms may range from palpitations, poor feeding, and irritability to more substantial hemodynamic instability. Patients who are hemodynamically stable can benefit from interventions such as vagal maneuvers, which can be done in the office. Such maneuvers include the Valsalva maneuver, stimulation of the diving reflex (for infants), and unilateral carotid sinus massage. Other children may need pharmacologic therapies to restore normal heart rhythm, which usually consists of a rapid intravenous injection of adenosine under monitoring. For patients who are hemodynamically unstable, emergency cardioversion may be needed.

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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.293
Teacher spread0.270 · 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
GenreReview

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

Citations9
Published2023
Admission routes1
Has abstractyes

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