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Record W3049692301 · doi:10.5435/jaaos-d-19-00697

Acute Surgical Management of Vascular Injuries in Hip and Knee Arthroplasties

2020· review· en· W3049692301 on OpenAlex
Christopher M. Melnic, Marilyn Heng, Santiago A. Lozano‐Calderón

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2020
Typereview
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicineSurgeryAmbulatoryGeneral surgery

Abstract

fetched live from OpenAlex

With an increasing number of total hip and knee arthroplasties being done at surgical centers and vascular surgeons often not immediately available in this setting, it is critical for orthopaedic surgeons to be comfortable with the acute surgical management of vascular injuries. Although they are fortunately uncommon in primary total hip and knee arthroplasties, damage to a major artery or vein can have potentially devastating consequences. Surgeons operating both in a hospital and an ambulatory surgical setting should be familiar with techniques to gain proximal control of massive bleeding because the principles can be helpful in primary and revision arthroplasties. In this study, we review the vascular anatomy around the hip and knee and the surgical management of these potentially catastrophic complications.

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.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.325
Teacher spread0.299 · 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