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Record W4402485281 · doi:10.1111/pde.15746

Obesity in Pediatric Hidradenitis Suppurativa: A Scoping Review

2024· review· en· W4402485281 on OpenAlexaff
Shanti Mehta, Dea Metko, Joseph M. Lam

Bibliographic record

VenuePediatric Dermatology · 2024
Typereview
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsUniversity of British ColumbiaMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineHidradenitis suppurativaObesityBody mass indexOverweightCohortPediatricsQuality of life (healthcare)DemographyInternal medicineDisease

Abstract

fetched live from OpenAlex

The relationship between HS and obesity, while well established in adult patients, has drawn increased attention in pediatric patients given the rising prevalence of pediatric obesity worldwide. This review aims to consolidate existing evidence of the relationship between HS and obesity in the pediatric population and to hypothesize about reasons for an association between the two conditions. Our cohort comprised 2911 patients with a mean age of 11.4 years at the age of onset of HS, and based on body mass index (BMI), 42.3% of patients were classified as obese (BMI > 30), and 14% were overweight (BMI 25-29.9). Our findings indicate an association between obesity and HS in pediatric patients, which may be explained through numerous mechanisms, including shared genetic factors, hereditary relationships, and the impact of HS on adolescents' quality of life.

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)0.000
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.447
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.005

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 head0.050
GPT teacher head0.388
Teacher spread0.338 · 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.

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

Citations6
Published2024
Admission routes1
Has abstractyes

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