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Record W2739715548 · doi:10.1111/cod.12860

Accelerator‐free gloves as alternatives in cases of glove allergy in healthcare workers

2017· article· en· W2739715548 on OpenAlexaff
M.N. Crépy, Jérome Lecuen, C. Ratour-Bigot, Susan Jill Stocks, Lynda Bensefa‐Colas

Bibliographic record

VenueContact Dermatitis · 2017
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineAllergic contact dermatitisHealthcare workerContact dermatitisHealth careAllergyPersonal protective equipmentDermatologyNatural rubberContact allergyMedical emergencySurgeryInternal medicineMaterials scienceDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Accelerators in rubber gloves constitute an important group of contact allergens, particularly in healthcare workers. OBJECTIVES: To assess the efficacy of accelerator-free medical gloves in the secondary prevention of allergic contact dermatitis caused by rubber accelerators in healthcare workers. METHODS: Nine healthcare workers with hand eczema were advised to use accelerator-free rubber gloves after a diagnosis of allergic contact dermatitis caused by rubber accelerators. RESULTS: Switching from conventional medical single-use gloves containing accelerators to accelerator-free medical gloves led to improvement in all cases, and more than two-thirds of the patients were completely free of symptoms. CONCLUSION: The use of accelerator-free medical gloves can be an effective alternative in healthcare workers who are allergic to rubber accelerators.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.319
Teacher spread0.289 · 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 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

Citations52
Published2017
Admission routes1
Has abstractyes

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