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Record W2068084182 · doi:10.1186/cc5602

Ambulance transport is associated with a higher mortality than private transport following major penetrating trauma in a semi-urban environment

2007· article· en· W2068084182 on OpenAlexfundno aff
Euan J. Dickson, D Van Niekerk, S Robertson, J Goosen, Frank Plani, Kenneth D Boffard

Bibliographic record

VenueCritical Care · 2007
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchBayer Canada
KeywordsMedicineMedical emergencyEmergency medicinePenetrating traumaEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

Data were collected prospectively on 1,396 patients admitted to a Level 1 South African trauma unit over a 1-year period. The Revised Trauma Score was used to assess injury severity and physiological derangement at the time of admission, and to allow comparison between the groups. Mortality was defined as death within 30 days. The mortality in the blunt trauma patients ( n = 527) was higher in the ambulance transport group, but this was not statistically significant. However, the mortality in the penetrating trauma patients ( n = 808) was significantly higher in the ambulance transport group ( P = 0.020, chi-square; Table 1 ) despite similar Revised Trauma Scores (Table 1 ). The use of ambulance transportation is associated with a 3.7-fold increase in mortality following penetrating injury. This may be related to longer times in the field resulting in delay to definitive care in hospital.

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)0.000
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.304
Teacher spread0.274 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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