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Prevalence of Hidradenitis Suppurativa

2021· review· en· W3164102285 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

VenueJAMA Dermatology · 2021
Typereview
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsMemorial University of NewfoundlandMcGill UniversityMontreal General HospitalMcGill University Health Centre
Fundersnot available
KeywordsHidradenitis suppurativaMedicineEpidemiologyBiostatisticsObservational studyPopulationCohort studyComorbidityStudy heterogeneityAcneMeta-analysisDemographyDiseaseEnvironmental healthInternal medicineDermatology

Abstract

fetched live from OpenAlex

IMPORTANCE: Hidradenitis suppurativa/acne inversa (HS) is a chronic inflammatory skin disease characterized by occlusion of hair follicles as a primary pathogenic factor. There are scarce data regarding the prevalence of HS. OBJECTIVE: To estimate overall HS prevalence. DATA SOURCES: This review and meta-regression analysis was conducted using the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline. The academic search included PubMed, Cochrane registry, ClinicalTrials.gov, and evidence by NHS UK and Trip databases from inception through May 2020. To analyze HS prevalence, only cross-sectional studies or baseline assessments of longitudinal cohorts using census-based surveys or probabilistic and nonprobabilistic epidemiologic methods were considered. The search terms were (prevalence OR incidence OR epidemiology) AND (hidradenitis suppurativa OR acne inversa OR Verneuil's disease). No language restriction was applied. STUDY SELECTION: Original investigations that reported HS prevalence were included. After exclusion criteria were applied, 17 studies qualified for qualitative analysis, but only 16 studies were quantitatively assessed. DATA EXTRACTION AND MEASURES: Two reviewers extracted data by age, diagnostic criteria, presence of any comorbidity, sample sizes, continent/location, sex, and other characteristics. Assessment of bias risk used the Joanna Briggs Institute Critical Appraisal Instrument for Studies Reporting Prevalence Data using random-effects models to synthesize available evidence. MAIN OUTCOMES AND MEASURES: Hidradenitis suppurativa prevalence (with 95% CI) among the overall population and among subgroups. Between-study heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). RESULTS: In 16 quantitatively assessed studies included, prevalence estimates were reported only from Western European and Scandinavian countries, the US, and Australia. Meta-analysis with random effects, after adjusting for publication bias in the prevalence estimates, revealed a 0.40% prevalence (95% CI, 0.26%-0.63%) for HS. Studies based on clinical samples revealed a higher pooled prevalence of HS (1.7%) than population-based studies (0.3%). CONCLUSIONS AND RELEVANCE: The findings of this systematic review and meta-regression analysis may help facilitate policy formulation, channeling funding and guiding principles for better disease diagnosis using universal valid tools and management.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.589
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.357
Teacher spread0.312 · 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