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Record W3217683629 · doi:10.1002/9781119413936.ch72

The Mangled Extremity

2021· other· en· W3217683629 on OpenAlexaff
Tiffany M. Huynh, Ted Tufescu

Bibliographic record

VenueEvidence-Based Orthopedics · 2021
Typeother
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAmputationMedicineRehabilitationIntervention (counseling)Physical therapyQuality of life (healthcare)Duration (music)StressorPhysical medicine and rehabilitationSurgeryNursing

Abstract

fetched live from OpenAlex

Limb salvage and amputation impose different stressors on a patient’s financial and emotional well-being. An understanding of the investment required in each intervention enables the clinician to better counsel patients. Appreciating the financial and psychological costs of limb salvage compared with amputation may assist patients with decision-making. A severe extremity injury is a life-altering event that affects quality of life and function. An important aspect of treatment includes managing patient expectations regarding recovery and ability to return to work. Salvage and amputation are equal in regard to in-hospital charges, duration of hospitalization, and duration of inpatient rehabilitation in most studies. Outcomes after salvage and amputation are equal, and the outcome does not improve from two to seven years after injury. Limb salvage patients have a higher risk of complications. The chapter also provides recommendations for implementing evidence-based practice in the clinical setting.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.085
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0850.018

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 head0.047
GPT teacher head0.315
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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