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Record W2935090902 · doi:10.1002/jum.14993

Reliability of Neck Mass Point‐of‐Care Ultrasound by Pediatric Emergency Physicians

2019· article· en· W2935090902 on OpenAlexaff
Nir Friedman, Felicia Tseng, Ranko Savic, Mamadou Diallo, K Fathi, Lianne McLean, Mark O. Tessaro

Bibliographic record

VenueJournal of Ultrasound in Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineInterquartile rangeEmergency departmentMedical diagnosisPoint of care ultrasoundConfidence intervalUltrasoundRadiologyPediatric emergency medicineEmergency physicianRetrospective cohort studyEmergency medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Neck masses are a common reason for presentations to the pediatric emergency department (PED). We sought to determine the agreement and time difference between point-of-care ultrasound (POCUS) imaging by pediatric emergency physicians compared to radiology department imaging for children with neck masses in the PED. METHODS: We performed a retrospective study of patients aged 0 to 18 years presenting to our tertiary PED who received both POCUS by a pediatric emergency physician and radiology department imaging. Charts were reviewed for POCUS diagnoses, final diagnoses, and imaging time metrics. RESULTS: Seventy-five patients met the study criteria. In 58 of 75 cases there was agreement between the POCUS diagnosis and final diagnosis (κ = 0.71; 95% confidence interval, 0.6-0.83). There was agreement in 25 of the 28 cases in which POCUS examinations were performed by PED physicians with fellowship training in POCUS (κ = 0.87; 95% confidence interval, 0.72-1.00). The results for POCUS were generated in a median of 115 minutes (interquartile range, 68-185 minutes) before radiology department imaging results. CONCLUSIONS: Point-of-care ultrasound imaging by pediatric emergency physicians for children with neck masses is a promising new POCUS application that may be able to save time in the PED.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.315
Teacher spread0.303 · 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.

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

Citations15
Published2019
Admission routes1
Has abstractyes

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