MétaCan
Menu
Back to cohort
Record W2982006229 · doi:10.1177/2050313x19882852

Hidradenitis suppurativa and vasculitis: A case series and literature review of a rare association

2019· review· en· W2982006229 on OpenAlexaff
Afsáneh Alavi, Eran Shavit, Jeannine Archer, Christian Pagnoux

Bibliographic record

VenueSAGE Open Medical Case Reports · 2019
Typereview
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsMount Sinai HospitalWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsHidradenitis suppurativaPyoderma gangrenosumMedicineDermatologyVasculitisInflammatory bowel diseasePyodermaMicroscopic polyangiitisSystemic vasculitisGranulomatosis with polyangiitisDiseasePathology

Abstract

fetched live from OpenAlex

Hidradenitis suppurativa is a chronic inflammatory skin disease with dysregulation of the immune system. Its pathophysiology is not clear, and it has been reported in association with various inflammatory disorders such as pyoderma gangrenosum, arthritis, familial Mediterranean fever and inflammatory bowel diseases. However, the co-existence of HS and vasculitis is exceptional and has not been investigated. We report on five patients with vasculitis that are followed in our centers: one with Takayasu's arteritis, three with granulomatosis with polyangiitis and one with Behcet's disease and compare them with those previously reported in the literature. A case series and literature review with key words of "vasculitis," "hidradenitis suppurativa," and "acne inversa" found only one previous report of hidradenitis suppurativa and cutaneous vasculitis and two with Behcet's disease. Whereas the association of pyoderma gangrenosum and vasculitis is well-known, that with hidradenitis suppurativa is rarer. There may be some pathogenic continuum between hidradenitis suppurativa, pyoderma gangrenosum and vasculitis.

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: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
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
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.030
GPT teacher head0.360
Teacher spread0.330 · 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 designCase report
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

Citations11
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueSAGE Open Medical Case ReportsSame topicHidradenitis Suppurativa and TreatmentsFrench-language works237,207