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Record W3121065620 · doi:10.2310/tywc.4354

Extremity Trauma: Nonaxial Skeleton Fractures, Sprains, Dislocations

2018· article· en· W3121065620 on OpenAlexaboutno aff
David A. Meguerdichian, John J Eicken

Bibliographic record

VenueDeckerMed Transitional Year Weekly Curriculum™ · 2018
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnkleOrthopedic surgeryRadiographyWristSplint (medicine)Stress fracturesCarpal bonesSplintsOrthodonticsSurgery

Abstract

fetched live from OpenAlex

Orthopedic extremity injuries may require emergent orthopedic consultation, but are typically managed by the acute care provider. Initial management for all fractures should focus on providing immediate analgesia and ensuring adequate blood flow distal to the fracture. This review summarizes the assessment and stabilization, diagnosis, treatment and disposition, and outcomes for fractures, dislocations, and sprains. Figures include illustrations of fracture types, carpal bones and their articlulation in the wrist, bones of the hand, the anatomy of the hip demonstrating the areas where hip fractures occur, the Weber classification, the Bohler angle, and fractures of the proximal fifth metatarsal; a bedside sonogram of a fracture of the distal radius; and 10 radiographs showing various fractures and dislocations. Tables list the Gustilo classification of open fractures; common terms used to accurately describe fractures; components of the Ottawa Knee Rules and the Ottawa Ankle/Foot Rules; Schatzker classification system of tibial plateau fractures; common fractures of the hand and foot, respectively, with their associated treatment, splint, and recommended follow-up; normal anatomic alignments that should be assessed on radiographic evaluation of a possible Lisfranc injury; common splints and the associated fractures they are used to treat; AC joint injuries graded according to the severity of injury to the joint structures; and the four stages of worsening lunate instablity. This review contains 18 highly rendered figures, 11 tables, and 98 references.

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)0.001
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: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.006

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 head0.011
GPT teacher head0.287
Teacher spread0.276 · 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
Published2018
Admission routes1
Has abstractyes

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