Evidence map›Paper›PMID 39720195›Full record

ReviewJournal of epilepsy research2024

Cutaneous Adverse Drug Reactions to Antiseizure Medications.

Rebeca Palafox-Romo, Silvia Mendez-Flores

Abstract readReview
In one paragraph

Review in Journal of epilepsy research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rebeca Palafox-RomoDepartment of Dermatology, National Institute of Medical Science and Nutrition Salvador Zubiran, Tlalpan, México.
Silvia Mendez-FloresDepartment of Dermatology, National Institute of Medical Science and Nutrition Salvador Zubiran, Tlalpan, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discontinuation of antiseizure medications (ASMs), primarily prompted by adverse effects, presents a formidable challenge in the management of epilepsy, and impacting up to 25% of patients. This article thoroughly explores the clinical spectrum of cutaneous adverse drug reactions (cADRs) associated with commonly prescribed ASMs. Ranging from mild maculopapular rashes to life-threatening conditions such as Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN), the diverse manifestations are meticulously detailed. Diagnostic strategies, incorporating red flags and testing methodologies, are elucidated to ensure precise identification. The classification of adverse drug reactions (ADRs), with a specific focus on cADRs and their association with type A or type B reactions, is presented. Critical risk factors, encompassing patient demographics, drug-related skin reactions, and genetic predispositions, are thoroughly explored. The article underscores the role of human leucocyte antigen (HLA), including HLA*15:02, in predicting susceptibility to severe reactions like SJS/TEN, particularly with aromatic ASMs prevalent in specific populations. Management strategies for varying cADR severities are discussed, placing emphasis on drug discontinuation, symptomatic relief, and potential desensitization. The article concludes by consolidating current knowledge, providing clinicians with a roadmap for navigating the complexities of diagnosis and management. The integration of personalized medicine principles and evidence-based approaches emerges as a crucial paradigm for the future of epilepsy management, aiming to minimize the impact of ADRs on patient outcomes.

Indexed as

Anticonvulsants, Epilepsy/drug therapyHLA antigens/geneticsSkin diseases/drug therapyStevens-Johnson syndromeToxic epidermal necrolysis

Identifiers

PMID39720195
PMCPMC11664053

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.