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Record W3075925959 · doi:10.1093/pch/pxaa068.082

83 Electrocardiogram in Syncope: An old habit or clinically helpful?

2020· article· en· W3075925959 on OpenAlexaffabout
Anas Manouzi, Quynh Doan, Shubhayan Sanatani

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineVasovagal syncopeEmergency departmentSyncope (phonology)Emergency medicineInternal medicineMedical emergency

Abstract

fetched live from OpenAlex

Abstract Background Syncope affects up to 50% of individuals by age 21 years and accounts for 1% of presentations to the emergency department (ED). Cardiac causes of syncope, including structural heart defects and rhythm disorders, cannot always be ruled out by an electrocardiogram (ECG) as this test lacks sensitivity and specificity. Conflicting recommendations for the role of ECG in evaluation of pediatric syncope underscore the clinical equipoise of how ECG findings influence physicians’ clinical decisions. Objectives The primary objective of this study is to determine how ECG findings affect ED physicians’ management of children presenting with vasovagal syncope. Our secondary objective is to document the practice pattern variation among ED physicians regarding their decision to obtain an ECG for the evaluation of vasovagal syncope in children. Design/Methods We conducted a prospective cross-sectional survey study using the REDCap platform. Our sample frame consisted of practicing emergency physicians enrolled in the Pediatric Emergency Research Canada (PERC) network. Outcome measures included frequency investigations, specialist consultation, and disposition stratified by type of syncope presentation (low/high risk). We also evaluated which specific ECG findings were likely to change physicians’ management and explored factors influencing the decision to perform or not perform the ECG. Results We obtained data from 105/225 (47%) potential respondents. In a clinical scenario presenting a vasovagal syncope, 52% of respondents would order an ECG. Forty-five percent changed their management if the ECG interpretation was anything other than “Normal ECG”. In a high-risk syncope scenario, an ECG was performed by 96% of respondents. Cardiology referral was requested by 93% of respondents, despite normal ECG findings. Borderline ECG findings led to significant practice variation in management, for both low and high-risk presentations scenarios. Overall, 66% of respondents stated that performing an ECG is not important to rule out a cardiac etiology in a typical vasovagal syncope presentation, but 64% stated that performing an ECG is important to reassure the patient. Conclusion There is substantial practice pattern variation among emergency physicians with regards to the frequency and motivations to order ECGs, and how ECG findings impact the management of pediatric syncope in the ED. Information provided by an ECG can lead to unnecessary change to clinical management, additional testing, and referrals to specialists for typical vasovagal syncope. This reinforces the importance of better knowledge translation surrounding evidence-based management of vasovagal syncope among ED physicians.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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 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
Published2020
Admission routes2
Has abstractyes

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