MétaCan
Menu
Back to cohort
Record W4318197217 · doi:10.1089/derm.2022.29014.ahu

Allergic Contact Dermatitis Associated with Religious Practices: Review of the Literature

2023· review· en· W4318197217 on OpenAlexvenueno aff
Aamir Hussain, Rayva Khanna, Alan N. Moshell

Bibliographic record

VenueDermatitis · 2023
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsHinduismJudaismIslamSikhismBuddhismAllergic contact dermatitisReligious studiesMedicineChristianityTraditional medicineInclusion (mineral)Contact dermatitisSociologyGender studiesTheologyPhilosophyAllergy

Abstract

fetched live from OpenAlex

Allergic contact dermatitis (ACD) may occur secondary to devotional practices in various religions. A systematic review of PubMed was conducted from inception of database to September 9, 2022. Key terms were "contact dermatitis" or "devotional dermatosis" in association with major world religions including "Christianity," "Islam," "Hinduism," "Buddhism," "Sikhism," and "Judaism." Inclusion criteria were determined by presence of a religious practice and associated ACD. Articles referencing other cutaneous reactions such as chemical leukoderma were excluded. In total, 36 of 102 unique articles identified met inclusion criteria. Twenty-two articles referenced Hinduism, 8 referenced Judaism, 5 referenced Islam, 3 referenced Christianity, and 1 article each mentioned Buddhism and Sikhism. Four articles referenced multiple religions. Para-phenylenediamine was the most common contact allergen overall and is found in blackening ingredients mixed with henna for temporary tattoos. Henna tattooing is a cultural practice associated with Hinduism, Islam, and Judaism. Nine unique contact allergens associated with religious practices were identified. Increasing awareness of religious practices that cause ACD will facilitate culturally competent dermatological care.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.010
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.322
Teacher spread0.284 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDermatitisSame topicContact Dermatitis and AllergiesFrench-language works237,207