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Record W2887307063 · doi:10.17294/2330-0698.1631

Role of Echocardiography in the Intensive Care Unit: Overview of the Most Common Clinical Scenarios

2018· review· en· W2887307063 on OpenAlexfundno aff
Luca Longobardo, Concetta Zito, Scipione Carerj, Giuseppe Caracciolo, Bijoy K. Khandheria

Bibliographic record

VenueJournal of patient-centered research and reviews · 2018
Typereview
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
FundersAurora Research Institute
KeywordsMedicineIntensive care medicineIntensive care unitIntensive careDifferential diagnosisMedical emergencyMedical physicsPathology

Abstract

fetched live from OpenAlex

The intensive care unit (ICU) is among the more important settings in which echocardiography plays a pivotal role. The ease of use, speed of execution, and completeness of information on heart anatomy and function that echocardiography is able to provide makes this tool the perfect diagnostic technique in patients for whom exhaustive information must be quickly obtained by physicians who sometimes lack specific skills in cardiovascular imaging. However, the clinical entities encountered by ICU clinicians are often difficult to distinguish and patient symptoms may not be obvious. This brief review describes three common clinical scenarios that benefit from echocardiography in the ICU, based on symptoms frequently claimed by patients admitted to the ICU. For each symptom we describe the most likely clinical possibilities, underlining the fundamental role that echocardiography plays in the differential diagnosis, and the echocardiographic elements most relevant to obtain the correct diagnosis and to guide treatment.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.941
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.375
GPT teacher head0.530
Teacher spread0.155 · 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 designOther design
Domainnot available
GenreReview

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

Citations6
Published2018
Admission routes1
Has abstractyes

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