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Record W4293832955 · doi:10.1089/fpsam.2021.0348

Nasal Reconstruction in Granulomatosis with Polyangiitis: A Two Decade Review

2022· letter· en· W4293832955 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

VenueFacial Plastic Surgery & Aesthetic Medicine · 2022
Typeletter
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGranulomatosis with polyangiitisMedicineSurgeryRhinoplastyNoseSoft tissueDeformityRetrospective cohort studyDiseaseVasculitisInternal medicine

Abstract

fetched live from OpenAlex

Background: Granulomatosis with polyangiitis (GPA) leads to progressive destruction of the nasal tissues resulting varying degrees of saddle deformity and nasal obstruction. Reconstructive techniques are numerous, but there are no large series reporting their results. Objective: This study sought to measure complications and outcomes after rhinoplasty for GPA. Methods: We conducted a retrospective review of 42 patients with GPA who underwent nasal reconstruction of saddle nose deformity between 2005 and 2019 using primarily costal cartilage and soft tissue grafts. Results: Thirty-six patients met the criteria for inclusion. All were followed for a minimum of 12 months. Six patients required revision surgery due to infection or GPA flare ups. Five patients had complications. All patients were given a questionnaire at 12 months to rate their degree of satisfaction with their appearance and breathing. Conclusion: The findings of this study suggest that the use of strong cartilage grafts and the timing of surgery result in improvement in breathing and appearance after rhinoplasty in patients with GPA. Clinical Trial Registration number: REB # 21-125.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.266
Teacher spread0.240 · 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