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Record W4416399953 · doi:10.21474/ijar01/22053

PRURIGO NODULARIS AWARENESS, BURDEN, AND TREATMENT APPROACHES: A SYSTEMATIC REVIEW (PRISMA)

2025· article· W4416399953 on OpenAlexaboutno aff
Ahmed Baabdullah

Bibliographic record

VenueInternational Journal of Advanced Research · 2025
Typearticle
Language
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPrurigo nodularisPsychosocialObservational studyQuality of life (healthcare)PrurigoPublic healthMEDLINEAlternative medicineData extraction

Abstract

fetched live from OpenAlex

Background: Prurigo nodularis (PN) is a chronic, intensely pruritic dermatosis with substantial psychosocial burden. Awareness among the public and even non dermatology clinicians remains limited, and therapeutic guidance has evolved rapidly with targeted biologics. Objective:To systematically synthesize evidence on PN awareness and public perceptions, disease burden and quality of life, and therapeutic approaches including classical agents and emerging biologics. Methods: Following PRISMA, we searched PubMed, Embase, and Scopus from inception to June 2025. Inclusion criteria encompassed adult PN/CNPG studies addressing awareness/perceptions, epidemiology/burden, or treatments; guidelines and consensus statements were included. Data extraction and risk of bias (RoB 2 for trials; Newcastle Ottawa for observational studies) were performed. Narrative synthesis was conducted due to heterogeneity.

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)0.040
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.040
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.111
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.010
Bibliometrics0.0160.016
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0030.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.086
GPT teacher head0.436
Teacher spread0.350 · 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 designSystematic review
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

Citations0
Published2025
Admission routes1
Has abstractyes

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