MétaCan
Menu
Back to cohort
Record W4387025060 · doi:10.32920/24192186.v1

Bioactive glass scaffolds for bone loss in revision total knee arthroplasty (rTKA)

2023· preprint· en· W4387025060 on OpenAlexafffund
Romina Shafaghi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCalifornia HIV/AIDS Research Program
KeywordsFlexural strengthCompressive strengthMaterials scienceComposite materialBioactive glassPorosityCortical boneFixation (population genetics)Biomedical engineeringFlexural rigidityBiocompatibilityChemistryAnatomyMedicine

Abstract

fetched live from OpenAlex

Bone loss that compromises implant fixation is a challenge in both total knee arthroplasty (TKA) and revision total knee arthroplasty (rTKA). One method to address this is the use of bioactive glass scaffolds designed with adequate load bearing strength, a degradation rate that matches that of bone formation and a microstructure similar to that of human trabecular bone. Titania-containing borate bioactive glass scaffolds based on the glass system (52-X) B2O3-12 CaO-6P2O5-14Na2O-16ZnO-XTiO2 with X varying from 0, 5 and 15 mol% of TiO2 incorporated, identified as BRT0, BRT1 and BRT3 scaffolds, respectively, were fabricated using a polymer foam replication technique. Increasing TiO2 decreased the pore sizes and the porosity of the scaffolds, but they were nevertheless within the range for human trabecular bone. BRT3 scaffolds with greater TiO2 content exhibited superior mechanical properties (compressive strength, flexural rigidity and flexural strength) compared to BRT0 and BRT1 scaffolds. After 30 days in de-ionized water increases in TiO2 content from 0 to 15 mol % increased the compressive strength from 3 to 6 MPa. The flexural rigidity and flexural strength of the scaffolds were found to depend strongly on porosity. Moreover, the results showed that the compressive strengths of the scaffolds were within the range for human trabecular bone, however their flexural strengths were lower than that of human trabecular bone. Ion release profile studies determined that by increasing TiO2 the cumulative ion release from the scaffolds decreased remarkably. Also, it was observed that immersing the scaffolds in de-ionized water resulted in an increase in pH of all the scaffold extracts from 7.0 to 8.5 after 30 days. An In-vitro study of the borate bioactive glass scaffolds using an MTT assay revealed that ions released from BRT1and BRT3 had no significant effect on proliferation and activity of pre-osteoblastic MC3T3-E1 cells at day 14. At day 30, all the scaffold extracts decreased proliferation and activity of MC3T3-E1 cells due to the closed nature of the test. However, live/dead cell assay results showed that the degradation products from all the scaffolds had no inhibitory effect on viability of MC3T3-E1 cells. BRT1 and BRT3 extracts also exhibited significant bactericidal efficacies against Escherishia coli, Staphylococcus aureus, Staphylococcus epidermidis. Moreover, evaluation of cell / bioactive glass surface interactions showed well-spread cells on BRT3 scaffolds. In conclusion, the superior physico-chemical, mechanical and biological properties of BRT3 scaffolds compared to BRT0 and BRT1 scaffolds, make them more desirable for addressing bone loss in rTKA.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.246
Teacher spread0.229 · 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 designBench or experimental
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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same topicBone Tissue Engineering MaterialsFrench-language works237,207