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Record W1970766087 · doi:10.1097/mcc.0b013e32832e383e

Linking the chain of survival: trauma as a traditional role model for multisystem trauma and brain injury

2009· review· en· W1970766087 on OpenAlexaff
Antonio Capone-Neto, Sandro Rizoli

Bibliographic record

VenueCurrent Opinion in Critical Care · 2009
Typereview
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsSunnybrook Health Science CentreHealth Sciences Centre
Fundersnot available
KeywordsMedicineTrauma careIntensive care medicineBrain traumaContinuum of careOutcome (game theory)Medical emergencyTraumatic brain injuryHealth carePsychiatry

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Trauma systems are central in the care of trauma patients and the concept of 'Critical Care Cascade' matches the concept of the 'Trauma Systems'. Both concepts aim to offer a model of continuum care from prehospital assistance to ICU discharge that can have a significant impact on outcome. In spite of the trauma system concept maturity, many controversies still remain unresolved. This text will review some of the relevant literature related to prehospital and early hospital care of trauma patients. RECENT FINDINGS: Effectiveness of trauma systems and outcome studies on prehospital and early hospital care have been published recently. Limitations, controversies and important points of those studies will be highlighted in this text. SUMMARY: Although there is a lack of definitive evidence to support many of the current recommendations for the acute care of trauma patients, the historical development of trauma systems, their long experience and even the existing controversies, can help to establish other critical pathways and can guide performance evaluations so necessary to improve outcomes.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.367
GPT teacher head0.495
Teacher spread0.128 · 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

Citations31
Published2009
Admission routes1
Has abstractyes

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