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The Role of Point of Care Ultrasound in the Injured Paediatric Patient

2018· review· en· W3091825529 on OpenAlex
Victor Istasy, Drew Thompson, Sheena Belisle S, Mireille Gharib, Rodrick Lim

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Pediatric Reviews · 2018
Typereview
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicinePoint of care ultrasoundPoint of careUltrasoundFocused assessment with sonography for traumaMedical physicsPoint-of-care testingRadiologyIntensive care medicinePathology

Abstract

fetched live from OpenAlex

The focus of this review is to examine the current state of paediatric Point of Care Ultrasound (POCUS) in the injured patient. POCUS has become useful across various medical specialties owing to its ease of use, reproducibility and non-ionizing qualities. Point of care ultrasound has advanced over the past years and has proven to be an extremely useful adjunct in the injured child. Discussion will center around the challenges on when and how to best utilize POCUS. This includes but is not limited to: detection of peritoneal free fluid, pneumothoraces, hemothoraces, pericardial effusions, a wide array of fractures, lung contusions and many other applications. Discussion will also be focused on the evolution of POCUS, as well as a discussion around the determination of training standards.

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.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.984
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.404
Teacher spread0.338 · 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