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Record W3191759766 · doi:10.21203/rs.3.rs-38837/v1

Combined Surgical And Medical Treatment For Periprosthetic Femoral Fractures Over A Stable Stem (Vancouver Type B1 And C): A Proposal Of A Therapeutic Algorithm To Reduce The Risk Of Nonunion.

2020· preprint· en· W3191759766 on OpenAlexaboutno aff
Nicola Mondanelli, Giovanni Battista Colasanti, Carlo Cataldi, Fabio Moreschini, Vanna Bottai, Stefano Giannotti

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticNonunionMedicineSurgeryAlgorithmComputer scienceArthroplasty

Abstract

fetched live from OpenAlex

Abstract Background: There is lack of consensus regarding best operative fixation strategy for periprosthetic femoral fractures (PFFs) around a stable stem. Based on our experience in the treatment of nonunions after PFFs and other challenging cases and on Literature, we propose an algorithm that can guide in choosing the ideal surgical technique even for first-time PFFs with a stable stem.Methods: We retrospectively reviewed data on patients who failed to heal after a surgically treated Vancouver type B1 or C PFF. All patients were treated with locking plate, double structural allograft and autologous bone marrow concentrate (BMC) over a platelet-rich plasma (PRP)-based membrane at fracture site. All patients were also pharmacologically treated with Teriparatide in the postoperative period. We studied patients with radiograms, histological evaluation of the nonunion area, and phosphocalcic metabolism. Patients were assessed subjectively, clinically and radiographically until healing and then annually.Results: All nonunions healed over a six months period, and functional recovery appeared to be good. Retrospective evaluation of the proposed algorithm showed that none of the patients met biological or mechanical criteria such as to make valid the treatment with locking plate alone.Conclusion: Mechanical factors are not the only issues that should be taken into account when choosing the surgical approach to PFFs over a stable stem. Systemic and local biological conditions are factors that should drive to a rigid fixation with absolute stability (using a plate and structural allograft) plus local biological support (structural allograft and autologous BMC in a PRP-based scaffold) and systemic anabolic treatment (Teriparatide) in the first instance. A therapeutic algorithm is proposed, given the prosthetic stem to be stable, taking into account mechanical and biological criteria.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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