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Record W2781047685

Behandelopties bij ernstige hidradenitis suppurativa

2011· article· nl· W2781047685 on OpenAlexaff
Jascha E. Mooij, Leonie van't Oost, Marjolein F. E. Leenarts, Jan R. Mekkes

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2011
Typearticle
Languagenl
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsHidradenitis suppurativaMedicineDermatologyAcneApocrineEtiologyAxillaDiseaseInternal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Hidradenitis suppurativa is a chronic skin disease, characterized by painful, deep-seated inflamed lesions, mainly in areas bearing apocrine sweat glands, most commonly the axillary and inguinal regions. Pain leads to mechanical problems, and bacterial growth in the lesions produces a foul-smelling discharge, which reduces the quality of life. In this type of hidradenitis the infection occurs around hair follicles and sebaceous glands, in contrast to what the name would suggest (hidradenitis = sweat-gland inflammation); hidradenitis suppurativa can, therefore be regarded more as a form of acne. The aetiology of hidradenitis is still unknown, but associated factors are smoking, obesity and familial predisposition.The syndrome can take a severe and disabling course. It is worthwhile implementing aggressive treatment at an early stage. Tumour necrosis factor-alpha inhibitors are now employed in the treatment of severe and treatment-resistant forms of hidradenitis suppurativa; under certain conditions this treatment will be reimbursed by the health insurance company. This development means that there are more treatment possibilities in hidradenitis than there were 5 years ago. The best results are achieved with a combination of antibiotic, anti-inflammatory and surgical treatment, tailored to the patient's individual situation

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.067
GPT teacher head0.266
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2011
Admission routes1
Has abstractyes

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Same venueData Archiving and Networked Services (DANS)Same topicHidradenitis Suppurativa and TreatmentsFrench-language works237,207