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Record W2943737240 · doi:10.1097/der.0000000000000466

Cross-sectional Survey of Nickel Allergy Management in the Context of Intracardiac Device Implantation

2019· article· en· W2943737240 on OpenAlexaffvenue
Bahar Bahrani, Nima Moghaddam, Joel G. DeKoven

Bibliographic record

VenueDermatitis · 2019
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsSunnybrook Health Science CentreSt. Michael's HospitalUniversity of British ColumbiaSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsIntracardiac injectionNickel allergyMedicineContext (archaeology)Patent foramen ovaleContact dermatitisPatch testInternal medicineAllergyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: The occlusion devices used for repair of atrial septal defect and patent foramen ovale commonly contain nitinol, an alloy containing nickel. There are reports of nickel allergy in the context of intracardiac device implantation. Type IV delayed-type reactions likely predominate in intracardiac metal hypersensitivity, but there are potentially other mechanisms such as cytotoxic or innate immunity. Based on available literature to date, the significance of nickel allergy in intracardiac occluders remains unclear. OBJECTIVE: The aim of the study was to investigate nickel allergy management strategies in intracardiac occluders. METHODS: The American Contact Dermatitis Society facilitated distribution of a survey via e-mail to the members of its association, which included dermatologists and allergists/immunologists. A total of 70 individuals answered the survey. CONCLUSIONS: There was no consensus regarding the ability of patch testing to accurately determine allergic reactions within cardiac tissue. There was also no agreement on the criteria for patch testing in patients undergoing intracardiac implantation. However, most would inquire about a history of contact sensitivity to previously implanted devices. With a positive patch test, nickel-based intracardiac devices should be avoided, or the decision should be left to the discretion of the cardiologist.

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 score0.009
Threshold uncertainty score0.287

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 head0.022
GPT teacher head0.292
Teacher spread0.270 · 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

Citations14
Published2019
Admission routes2
Has abstractyes

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