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Record W4367184463 · doi:10.24908/pocus.v8i1.16240

Missing Inferior Vena Cava on POCUS: A Case of Left-Sided IVC with Azygos Continuation

2023· article· en· W4367184463 on OpenAlexvenueno aff
Ankit Mehta, Kreegan Reierson, Benji K. Mathews

Bibliographic record

VenuePOCUS Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInferior vena cavaPoint of care ultrasoundUltrasoundRadiology

Abstract

fetched live from OpenAlex

The merits of utilizing point of care ultrasound (POCUS) in acutely ill patients is leading to a widespread embrace. Assessment of IVC via POCUS as part of a comprehensive multi-organ approach can help guide volume tolerance. Anatomical/developmental variations of IVC can vary widely in prevalence. As the use of POCUS expands as a diagnostic modality, it is prudent for frontline POCUS users to be cognizant of the IVC anomalies. We present a case of left sided IVC with azygous continuation discovered with POCUS that was performed to assess the volume status of the patient. This case illustrates that the awareness of different anomalies of the IVC is necessary for POCUS users to prevent misinterpretation of aberrant vessels and avoid diagnostic pitfalls.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.317
Teacher spread0.289 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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