MétaCan
Menu
Back to cohort
Record W4214812032 · doi:10.1097/der.0000000000000861

Allergic Contact Dermatitis, an Important Skin Reaction in Diabetes Device Users: A Systematic Review

2022· article· en· W4214812032 on OpenAlexvenueno aff

Bibliographic record

VenueDermatitis · 2022
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsAllergic contact dermatitisAdverse effectDiabetes mellitusSystematic reviewMEDLINEDiabetes managementInsulin

Abstract

fetched live from OpenAlex

ABSTRACT: Diabetes management has undergone many advances over the years, including the introduction of devices that allow patients to monitor blood glucose and administer insulin. Although these devices have improved patients' quality of life, they are associated with adverse reactions.A systematic literature search was performed up to May 2020 in PubMed, Cochrane, and Embase databases, with no temporal restrictions. Articles were screened by title, abstract, and full text as needed. A manual search among the references of the included articles was also performed.Two hundred sixty-five articles were identified, and 50 studies met inclusion criteria. Several cases of allergic contact dermatitis due to the use of insulin infusion systems and blood glucose monitoring have been reported. Acrylates, methacrylates, and colophonium, as well as, in particular, isobornyl acrylate, represent the main allergens responsible.Skin reactions, in particular allergic contact dermatitis, are a very common adverse event caused by insulin pumps and glucose sensors, which may lead to discontinue the usage of these devices with serious consequences for the patients. Collaboration between specialists, specifically between dermatologists and diabetologists, with patients and manufacturers is essential for the correct management of diabetes devices and potential related skin reactions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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.

Study designSystematic review
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

Citations19
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueDermatitisSame topicContact Dermatitis and AllergiesFrench-language works237,207