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Record W3016033435 · doi:10.1097/iop.0000000000001678

Primary Nasocutaneous Fistulae in Granulomatosis With Polyangiitis: A Case Series and Literature Review

2020· review· en· W3016033435 on OpenAlexaff
Bobak Bahrami, David S. Curragh, Alan A. McNab, Garry Davis, Peter J. Dolman, Dinesh Selva

Bibliographic record

VenueOphthalmic Plastic and Reconstructive Surgery · 2020
Typereview
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineGranulomatosis with polyangiitisPresentation (obstetrics)SurgerySystemic diseaseComplicationFistulaDermatologyDiseaseGeneral surgeryVasculitisPathology

Abstract

fetched live from OpenAlex

PURPOSE: To report the presentation, investigation, management, and outcomes of primary nasocutaneous fistulae in granulomatosis with polyangiitis and review the literature of this complication. METHODS: Retrospective series of 5 patients with granulomatosis with polyangiitis and nasocutaneous fistulae and the medical and surgical management strategies employed. RESULTS: Two cases presented with fistulae as the primary symptom of their systemic disease. Systemic management of granulomatosis with polyangiitis is a primary concern and two cases had inadequate control at presentation such that surgical intervention was deferred. Of the other 3 cases, 2 were closed using a median forehead flap and the other with an orbicularis advancement flap. An endonasal approach was attempted in 1 case but was unsuccessful due to the friable nature of the nasal mucosal tissue. CONCLUSIONS: Nasocutaneous fistulae should alert the clinician to underlying granulomatosis with polyangiitis, which may be a presentation of this condition. Systemic management of disease is often a barrier to surgical management. Myocutaneous flaps may be the most reliable management option to achieve closure.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.260
Teacher spread0.243 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2020
Admission routes1
Has abstractyes

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