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COAGULOPATIA NO TRAUMA

2007· article· pt· W2059935422 on OpenAlexaff
Bartolomeu Nascimento, Sandro Scarpelini, Sandro Rizoli

Bibliographic record

VenueMedicina (Ribeirão Preto) · 2007
Typearticle
Languagept
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsGynecologyMedicineHemorrhagic shockSurgeryResuscitation

Abstract

fetched live from OpenAlex

Trauma é uma das principais causas de mortalidade no mundo. A principal causa de óbitos das vítimas de trauma, nas primeiras 24 horas após a lesão, é o sangramento maciço. Os pacientes politraumatizados podem desenvolver graves distúrbios de coagulação relacionados à perda de grandes volumes de sangue e fatores de coagulação, à reposição volêmica com cristalóides e com concentrados de hemácias, à acidose e à hipotermia. O controle deste tipo de situação tem sido um grande desafio para cirurgiões e intensivistas. Além disto, as vítimas de trauma formam um dos maiores grupos de consumidores de sangue e seus derivados. Recentemente, a adequação destes grandes volumes de transfusão tem sido questionada, principalmente em decorrência da ausência de protocolos bem definidos e testados clinicamente. O objetivo deste artigo foi rever a literatura atual conceituando coagulopatia do trauma e descrevendo as mais recentes orientações para a hemoterapia direcionada às vitimas de trauma.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.305
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2007
Admission routes1
Has abstractyes

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