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Record W3168839094 · doi:10.1177/27325016211023936

Utilization of Platelet-Rich Plasma (PRP) to Reconstruct Bilateral Mandibular Defects

2021· article· en· W3168839094 on OpenAlexaff
Justin Haas, Tara Lynn Teshima

Bibliographic record

VenueFACE · 2021
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPlatelet-rich plasmaMedicineBone matrixOcclusionMandibular angleSurgeryMatrix (chemical analysis)Presentation (obstetrics)DentistryCartilagePlateletAnatomyInternal medicineChemistry

Abstract

fetched live from OpenAlex

Background: Platelet-rich plasma (PRP) plus bone substitute matrix used to repair defects in the viscerocranium has been demonstrated to be equally as effective at regenerating bone as autografts. The creation of fewer surgical sites, reduced operative and recovery time, and infection prevention are all potential benefits of this novel approach, especially for patients with conditions that complicate surgical management and recovery. Case presentation: A 33-year-old male with schizophrenia presented with trauma-induced bilateral mandibular fractures. Premorbid mental health factors and a complicated clinical trajectory precluded traditional management using bone autografts to repair mandibular defects and restore occlusive alignment. Instead, a composite matrix consisting of cadaver-derived bone chips and PRP was used to span 1 and 1.5 cm mandibular gaps. No complications were identified and occlusion with adequate alignment and function was achieved. Conclusion: We report the first patient to undergo surgical repair for multiple trauma-induced mandibular bone defects using a matrix made only of bone substitute and PRP.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

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 head0.034
GPT teacher head0.295
Teacher spread0.261 · 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 designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

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