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Record W1968479596 · doi:10.1089/ten.teb.2012.0717

The Role of Growth Factors on Acceleration of Bone Regeneration During Distraction Osteogenesis

2013· review· en· W1968479596 on OpenAlex

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

VenueTissue Engineering Part B Reviews · 2013
Typereview
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsDistraction osteogenesisGrowth factorRegeneration (biology)Context (archaeology)Fibroblast growth factorBone growthTissue engineeringVascular endothelial growth factorBiomedical engineeringCell biologyEngineeringBiologyMedicineDistractionVEGF receptorsEndocrinologyInternal medicineNeuroscience

Abstract

fetched live from OpenAlex

The distraction osteogenesis (DO) technique has been used worldwide to treat many complex orthopedic and craniofacial conditions. One limitation of this technique is the long time of fixator needs to be left in place until the bone is completely consolidated. Various biophysical, mechanical, and biological methods have been investigated to accelerate bone regeneration during DO. Several growth factors (GFs) are known to enhance bone regeneration such as bone morphogenic proteins, transforming growth factor beta, fibroblast growth factor, insulin growth factor, vascular endothelial growth factor, and platelet-derived growth factor. These GFs are known to stimulate cellular growth, proliferation, migration, and differentiation. In this review, an extensive overview of these GFs development and applications on acceleration of bone regeneration in the context of DO is discussed. Current challenges and alternative tissue engineering techniques to address the delivery and sustain release of these factors are also discussed. Finally, we highlighted our view regarding the remaining questions and future research directions.

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)0.000
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 score0.982
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.042
GPT teacher head0.307
Teacher spread0.265 · 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