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Record W2190603290 · doi:10.1097/der.0000000000000149

Patch Testing for Metal Allergy With Manufacturer-Supplied Materials Before Nuss Bar Insertion

2015· article· en· W2190603290 on OpenAlexvenueno aff
Kerry Heitmiller, Andrea French, Samuel M. Alaish, R. B. Goldner, Anthony A. Gaspari

Bibliographic record

VenueDermatitis · 2015
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePatch testingBar (unit)DermatologyAllergyContact dermatitisImmunology

Abstract

fetched live from OpenAlex

INTRODUCTION: The increasing use of metal implantable devices has raised awareness of nickel allergy. Preoperative patch testing for patients with pectus excavatum (PE) with a known metal allergy or history of atopy is an accepted practice before the Nuss procedure. The Nuss bar manufacturer offers a metal disc for preoperative testing for metal sensitivities. However, the efficacy of this disc is not well understood. OBJECTIVE: The purpose of this study was to determine the sensitivity of the metal disc in detecting nickel allergy compared with that of standard patch testing. METHODS: Two PE patients were referred for preoperative patch testing with the metal disc to screen for metal allergy before the Nuss procedure. Based on our initial findings, 7 patients without PE scheduled for patch testing for the evaluation of chronic dermatitis were additionally tested with the metal disc if they were found to have risk factors for nickel allergy. All patch testing was performed according to set standards. CONCLUSIONS: The metal disc may not be adequately sensitive to determine nickel allergy before the Nuss procedure. Patch testing alone with standard formulations of nickel sulfate in petrolatum may be more sensitive in diagnosing nickel allergy.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.248
Teacher spread0.222 · 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

Citations14
Published2015
Admission routes1
Has abstractyes

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