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Record W2002381836 · doi:10.1097/ta.0b013e31827a05e3

A contemporary analysis of the management of the mangled lower extremity

2013· article· en· W2002381836 on OpenAlexaff
Charles de Mestral, Sunjay Sharma, Barbara Haas, David Gómez, Avery B. Nathens

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2013
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsAmputationMedicineContext (archaeology)CohortLogistic regressionRetrospective cohort studyEmergency departmentSurgeryPhysical therapyInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The management of a mangled lower extremity is complex and requires consideration of a patient's injury pattern, medical history, social context, and preference. The Lower Extremity Assessment Project provides the highest level of evidence guiding management; however, the Lower Extremity Assessment Project cohort was recruited 15 years ago and was restricted to Level I trauma centers. Furthermore, as our ability to salvage limbs has improved, the decision to amputate in the early period following injury remains particularly challenging. Given these considerations, our primary objective was to characterize the contemporary management of the mangled lower extremity across a range of trauma centers and identify which patient and injury characteristics are associated with early amputation. METHODS: We used a retrospective cohort design and included adults in the National Trauma Databank (2007-2009) with a mangled lower extremity treated at Level I or II trauma centers. A mangle injury was defined as (1) a severe crush injury or (2) the combination of a severe fracture with selected severe injuries from at least two of three categories as follows: soft tissue, artery, or nerve. Logistic regression was used to evaluate the association of patient and injury characteristics with our primary outcome: amputation performed before the end of the first full calendar day following emergency department arrival (early amputation). RESULTS: A total of 1,354 patients were identified from 222 centers; 278 (21%) underwent amputation during their hospital course, with 124 (9%) undergoing early amputation. On multivariable analysis, only injury characteristic was associated with early amputation. The presence of severe head injury (Abbreviated Injury Scale [AIS] score ≥ 3), shock in the emergency department (systolic blood pressure < 90 mm Hg), limb injury type, and higher-energy mechanism were independently associated with early amputation. CONCLUSION: Nearly half of all in-hospital amputations for mangled lower extremities are performed early. The decision to amputate early may not be guided by age, comorbidity level, or insurance status but rather by systemic and local injury characteristics. LEVEL OF EVIDENCE: Therapeutic study, level IV; prognostic/epidemiologic study, level IV.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.173

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 integrity0.0000.000
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 head0.017
GPT teacher head0.296
Teacher spread0.279 · 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 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

Citations45
Published2013
Admission routes1
Has abstractyes

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