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Record W2995750472 · doi:10.1177/2513826x19879467

Lipoatrophy Associated With Maxillary Bone Graft for the Purpose of Dental Implants and Correction by Fat Grafting: A Case Report

2019· article· en· W2995750472 on OpenAlexaffvenue
Shayan Sadeghi, Eli Saleh, Michel Alain Danino

Bibliographic record

VenuePlastic Surgery Case Studies · 2019
Typearticle
Languageen
FieldMedicine
TopicDermatological and COVID-19 studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineLipoatrophyBone graftingLipodystrophyAdipose tissueDentistrySurgeryHuman immunodeficiency virus (HIV)Antiretroviral therapyInternal medicine

Abstract

fetched live from OpenAlex

Lipoatrophy could be a manifestation of a metabolic disorder, pharmacological therapy, or as the result of an immune reaction in adipose tissue. Localized lipoatrophy after a dental intervention is a finding rarely described in scientific literature of head and neck pathology. A 56-year-old woman reported experiencing tissue loss on the right cheek. A maxillary bone graft for the purpose of dental implants had been performed 10 months prior to the first signs. Medical imaging showed no signs of any lytic bone lesions. A fat graft harvested from the abdomen was used to fill the deficit. For a clinician, lipoatrophy even if extremely rare should be considered among the inflammatory complications after a dento-alveolar bone graft. Especially because of its rarity, any coincidental systemic disorder should be excluded during the assessment of the condition.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.028
GPT teacher head0.273
Teacher spread0.246 · 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 designCase report
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
Published2019
Admission routes2
Has abstractyes

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