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Record W3119078807 · doi:10.1213/xaa.0000000000001366

Postoperative Diaphragmatic Liver Herniation Diagnosed by Point-of-Care Ultrasound

2021· article· en· W3119078807 on OpenAlexaff
Audrey Prayal-Brown, Mohamed Eissa, Peter Tryphonopoulos, Hesham F. Talab, Colleen M. McFaul

Bibliographic record

VenueA&A Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineDiaphragmatic breathingThorax (insect anatomy)UltrasoundDiaphragmatic herniaRadiologyPoint of care ultrasoundSurgeryPoint-of-care testingHerniaAnatomy

Abstract

fetched live from OpenAlex

Point-of-care ultrasound (PoCUS) is a sensitive and specific tool in early identification of malignant pathologies in unstable patients leading to improved outcomes. Postoperative diaphragmatic rupture is rare, can be life-threatening, and is difficult to diagnose. This report describes a 62-year-old women undergoing thoracoscopic right hemidiaphragm plication with acute postoperative hemodynamic instability. Bedside PoCUS identified hepatic herniation into the thorax causing cardiac compression and lateral displacement, which lead to expedited imaging and surgical reexploration.

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)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.287
Teacher spread0.276 · 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 designNot applicable
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

Citations2
Published2021
Admission routes1
Has abstractyes

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