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Trauma hepático: uma experiência de 21 anos

2013· article· pt· W1967210210 on OpenAlexaff
Thiago Messias Zago, Bruno M. Pereira, Bartolomeu Nascimento, Maria Silveira Carvalho Alves, Thiago Rodrigues Araújo Calderan, Gustavo Pereira Fraga

Bibliographic record

VenueRevista do Colégio Brasileiro de Cirurgiões · 2013
Typearticle
Languagept
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineGynecologyHumanities

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the epidemiological aspects, behavior, morbidity and treatment outcomes for liver trauma. METHODS: We conducted a retrospective study of patients over 13 years of age admitted to a university hospital from 1990 to 2010, submitted to surgery or nonoperative management (NOM). RESULTS: 748 patients were admitted with liver trauma. The most common mechanism of injury was penetrating trauma (461 cases, 61.6%), blunt trauma occurring in 287 patients (38.4%). According to the degree of liver injury (AAST-OIS) in blunt trauma we predominantly observed Grades I and II and in penetrating trauma, Grade III. NOM was performed in 25.7% of patients with blunt injury. As for surgical procedures, suturing was performed more frequently (41.2%). The liver-related morbidity was 16.7%. The survival rate for patients with liver trauma was 73.5% for blunt and 84.2% for penetrating trauma. Mortality in complex trauma was 45.9%. CONCLUSION: trauma remains more common in younger populations and in males. There was a reduction of penetrating liver trauma. NOM proved safe and effective, and often has been used to treat patients with penetrating liver trauma. Morbidity was high and mortality was higher in victims of blunt trauma and complex liver injuries.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.023
GPT teacher head0.295
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

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

Citations25
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueRevista do Colégio Brasileiro de CirurgiõesSame topicAbdominal Trauma and InjuriesFrench-language works237,207