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Record W2971401090 · doi:10.1177/1203475419857688

What Is the Risk of Harm Associated With Topical Calcineurin Inhibitors?

2019· review· en· W2971401090 on OpenAlexaff
Sam Hanna, Catherine Zip, Neil H. Shear

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science CentreUniversity of Calgary
FundersLEO PharmaLEO Pharma Research Foundation
KeywordsMedicinePimecrolimusCalcineurinHarmTacrolimusTolerabilityAdverse effectTransplantationPharmacologySurgeryLawPolitical science

Abstract

fetched live from OpenAlex

The topical calcineurin inhibitors (TCIs), tacrolimus (Protopic) and pimecrolimus (Elidel), were approved in the early 2000s and were widely used as a nonsteroid treatment for atopic dermatitis (AD) in adult and pediatric populations. In 2005, the addition of a boxed warning was mandated for TCIs based on a potential risk of malignancy, and there was subsequently a substantial decline in their use. Since then, evidence has mounted to support the safety of this class of medications and suggests that the increased risk of malignancy remains theoretical. This review aims to dispel some of the common myths surrounding the safety of TCIs by evaluating the key evidence regarding their safety and tolerability in adult and pediatric populations. Four major themes are addressed in a practical question-and-answer format: the risk of harm associated with TCIs including common and serious adverse events; warnings and precautions for their use including the risk of systemic absorption, immunosuppression, and malignancy; the comparative safety of TCIs; and suggestions for counselling patients about the risk of harm with TCIs. Based on the available evidence, international professional dermatological organizations and regulatory authorities have concluded that the benefits of TCIs outweigh their potential risks when used in the appropriate patient populations for the recommended duration of time.

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)0.008
metaresearch head score (Gemma)0.030
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 score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.046
GPT teacher head0.324
Teacher spread0.278 · 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

Citations16
Published2019
Admission routes1
Has abstractyes

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