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Record W4416344545 · doi:10.24908/pocusj.v10i02.18453

A Retrospective Proof-of-Concept Study of the Impact of Point of Care Ultrasound During Short-Term Surgical Missions

2025· article· en· W4416344545 on OpenAlexvenueno aff
Harsh Sule, Rolando Valenzuela, Vennila Padmanaban, Graham J. Davies, Francisco Alvarado, Ziad C. Sifri

Bibliographic record

VenuePOCUS Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPoint of care ultrasoundPerioperativeRetrospective cohort studyUltrasoundPatient carePatient safetyPoint of care

Abstract

fetched live from OpenAlex

Point of care ultrasound (POCUS)-use during short-term surgical missions (STSMs) to resource-limited settings has not been well studied. We conducted a retrospective analysis of POCUS use during the perioperative course of patients undergoing definitive surgical treatment over the course of two STSMs. A total of 58 perioperative POCUS exams were performed by emergency physicians on our team. Operative findings correlated with POCUS results in 90% of cases that underwent surgery, while surgery was deferred based on POCUS findings in 33% of scans. Our findings suggest that POCUS is a portable, rapid and cost-effective modality that can be used in a focused manner in the perioperative period. Specifically, our inter-disciplinary experience and results demonstrate that POCUS-use has a positive impact on patient safety and quality, and optimizes the use of valuable resources and time.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.028
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.378
Teacher spread0.354 · 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.

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
Published2025
Admission routes1
Has abstractyes

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