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Record W4237391705 · doi:10.21203/rs.2.24232/v1

Individualized Implant: A surgical advice for rotational stability and additional proximal locking of the Fassier-Duval telescoping nail

2020· preprint· en· W4237391705 on OpenAlexaboutno aff
F. Schiedel

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsNail (fastener)MedicineTelescoping seriesFemurOsteogenesis imperfectaSurgeryOrthodonticsEngineeringAnatomyStructural engineering

Abstract

fetched live from OpenAlex

Abstract Background When stabilizing fractures and osteotomies in growing patients with special conditions of the long bones, the use of the Fassier-Duval nail as intended by the manufacturer (Pega Medical, Quebec, Canada) [1], shows that one problem with passive telescopic nails has not yet been solved. No stability in the rotation can be achieved. Postoperative to immobilize with plaster casts are obsolete in patients with osteogenesis imperfecta, as additional osteopenia due to immobilization must be feared. Especially with fractures and osteotomies in proximal femur long leg spica casts are a torture to patients and caregivers.Methods By experience in different surgical procedures in usage of the Fassier-Duval nailing system a technical solution for rotational stability of the nail as well as for locking of the nail in the proximal and distal physis could be developed.Results A transverse slot can be cutted in all available diameters of the female parts to make the FD nail rotationally stable. A proximal locking hole can be drilled individually by the surgeon on the operating table. The technical solution to the problems is presented in two exemplary cases in this article.Conclusions Rotational stability and additional proximal locking options can be achieved by additionally individualization of the Fassier-Duval telescoping nail during surgery.

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)0.006
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.146
GPT teacher head0.444
Teacher spread0.297 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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