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Clinical Presentations of Patients Sensitive to Natural Rubber Latex

2004· article· en· W2004829201 on OpenAlexvenueno aff
Jere D. Guin

Bibliographic record

VenueDermatitis · 2004
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsLoginInternet privacyWorld Wide WebLogo (programming language)Register (sociolinguistics)MedicineNatural (archaeology)Computer scienceComputer security

Abstract

fetched live from OpenAlex

BACKGROUND: Eczematous reactions to natural rubber latex (NRL) have been associated with both immediate and delayed hypersensitivity. OBJECTIVE: To determine clinical cases that might require testing for immediate sensitivity or patch testing for delayed hypersensitivity to latex fabric. METHODS: Patients with suspected sensitivity to NRL were given in vitro testing by radioallergosorbent test (RAST) or ImmunoCAP test and if negative, were prick-tested. If prick-test results were negative and the patients were still available, patch testing was done with latex glove fabric. Case histories of persons with positive results on RASTs, ImmunoCAP tests, prick tests, and patch tests were reviewed for clinical presentation and relevance. RESULTS: Of 92 persons with positive responses, 26 had positive RAST results, 26 had positive ImmunoCAP test results, 33 had positive prick-test results, and 7 had a positive patch-test result. Presentations included hand urticaria or eczema (46 patients), eyelid dermatitis (14), shoe dermatitis (10), atopic eczema (6), waistband dermatitis (5), clothing dermatitis (3), contact eczema to elastic in a mask (2), urticaria to a phlebotomy tourniquet, and eczema over the elbows and from an elastic bandage used for occlusive dressing therapy. Several other presentations were less likely to be relevant. CONCLUSION: Persons with putative contact dermatitis in areas that may come into contact with NRL deserve not only to be patch-tested with rubber chemicals but also to be tested for immediate sensitivity and, if results are negative, to be patch-tested with NRL.

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 score0.198
Threshold uncertainty score0.333

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 head0.016
GPT teacher head0.313
Teacher spread0.297 · 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

Citations13
Published2004
Admission routes1
Has abstractyes

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