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Record W4211101674 · doi:10.1097/mcc.0000000000000928

Liver trauma in the intensive care unit

2022· article· en· W4211101674 on OpenAlexaff

Bibliographic record

VenueCurrent Opinion in Critical Care · 2022
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMultidisciplinary approachIntensive care unitTrauma centerTrauma careCritical care nursingMEDLINEIntensive care

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To review the surgical and critical care management of liver trauma; one of the most common abdominal injuries sustained due to its size and location. RECENT FINDINGS: Hepatic injuries range from negligible to life threatening: in the acute phase, the most common cause of morbidity and mortality is hemorrhage; however, severe traumatic hepatic injuries can also lead to biochemical abnormalities, altered coagulation, and ultimately liver failure. This brief review will review the classification of traumatic liver injuries by mechanism, grade, and severity. Most Grades I-III injuries can be managed nonoperatively, whereas the majority of Grades IV-VI injuries require operative management. Therapeutic strategies for traumatic liver injury including nonoperative, operative, radiologic will be described. The primary goal of liver trauma management in the acute setting is hemorrhage control, then the management of secondary factors such as bile leaks. The rapid restoration of homeostasis may prevent further damage to the liver and allow for deferred nonoperative management, which has been shown to be associated with good clinical outcomes. SUMMARY: A multidisciplinary approach to the care of these patients at an experienced liver surgery center is warranted.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.403

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 integrity0.0000.001
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 head0.233
GPT teacher head0.463
Teacher spread0.230 · 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 designQualitative
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

Citations14
Published2022
Admission routes1
Has abstractyes

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