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Record W2526280439

MEGA PROSTHESES FOR WELL FIXED TKA FEMORAL FX'S – AFFIRMS

2014· article· en· W2526280439 on OpenAlexaff
David Backstein

Bibliographic record

VenueJournal of Bone and Joint Surgery-british Volume · 2014
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineProsthesisOsteoporosisFemoral fractureSurgeryConcomitantFixation (population genetics)FemurInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Peri-prosthetic distal femoral fractures around total knee replacement is a highly complex reconstructive challenge, particularly in the presence of bone comminution and poor bone quality in elderly patients. With the incidence of peri-prosthetic fractures ranging from 0.3% to 2.5%, this is becoming a common problem. Older patients with concomitant medical issues have a very limited tolerance for prolonged immobilisation. It is the author9s practice to revise, rather that attempt to fix, peri-prosthetic fractures of the knee which are very close to the femoral or tibial implants, particularly when associated with osteoporosis and comminution. When compared to fracture fixation, distal femoral replacement has significantly shorter operative time, less blood loss, and shorter hospital stay. Patients have been shown to recover faster, have fewer complications, and left hospital sooner. The general assumption has been that the use of a distal femoral replacement prosthesis is cost prohibitive in revision total knee settings, however, initial differences in the price of the prosthesis are more than offset by a shortened hospital stay and a more rapid return to pre-fracture level of function.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.018
GPT teacher head0.228
Teacher spread0.209 · 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 designNot applicable
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

Citations0
Published2014
Admission routes1
Has abstractyes

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