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Record W1981686405 · doi:10.1097/der.0b013e318284d9f2

Contact Sensitization to Modern Wound Dressings in 70 Patients With Chronic Leg Ulcers

2013· article· en· W1981686405 on OpenAlexvenueno aff
Regina Renner, Jan C. Simon, Regina Treudler

Bibliographic record

VenueDermatitis · 2013
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSensitizationDermatologySurgeryImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with chronic leg ulcers typically experience contact allergy to topical treatments. Although declared as hypoallergenic, modern wound dressings have caused several reported cases of contact allergy. OBJECTIVE: The aim of the study was to evaluate any allergenic potential of modern wound dressings in patients with leg ulcers. METHODS: Seventy-one patients were included in our prospective observation. Patch tests were performed with a selection of 10 modern wound dressings and with selected allergens according to series of the German Contact Dermatitis Research Group (DKG). RESULTS: Of 70 patients eligible for evaluation, 12 (17%) were positive for the hydrogel NuGel, followed by the hydrocolloid NuDerm (n = 7/70, 10%) and the ionic silver-containing wound dressing Aquacel Ag and the gauze Adaptic (both n = 4/70, 5%). Patients with recalcitrant ulcers of prolonged duration showed a significant higher number of epicutaneous sensitizations to wound dressings than patients with shorter ulcer duration. CONCLUSIONS: The allergenic potential of modern wound dressings should not be underestimated. There is need for precise declaration of all ingredients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations39
Published2013
Admission routes1
Has abstractyes

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