Evidence map›Paper›PMID 37605788›Full record

ArticleClinical, cosmetic and investigational dermatology2023

Causes of Drug-Induced Severe Cutaneous Adverse Reaction Epidermal Necrolysis (EN): An Analysis Using FDA Adverse Event Reporting System (FAERS) Database.

Weiqiang Fei, Jun Shen, Hui Cai

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Weiqiang FeiCollege of Nursing, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang Province, People's Republic of China.
Jun ShenNursing Department, Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Hui CaiNursing Department, Jiangsu Province Hospital Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Hangzhou Vocational and Technical College · CNJiangsu Province Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of the study is to analyze FAERS data to identify drugs associated with Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN), determine demographics, drug classes involved, most likely resulted in death, and highlight emerging trends in SJS/TEN reactions. Patients and Methods: We reviewed the publicly available FAERS database from 2004-2021. Using search terms "Stevens-Johnson syndrome" or "Toxic epidermal necrolysis", we identified the reports of SJS/TEN or SJS/TEN followed by death that might associated with specific drugs. Then the amounts and trends were counted analyzed. Results: During the study period of 2004-2021, the Food and Drug Administration (FDA) received a total of 14,363,139 reports of adverse reactions, among which 24,976 were linked to SJS or TEN. After excluding the cases with incomplete or insufficient information on age, gender, or country of origin, the median median age of patients was 53.82 (IQR = 57.52), the females accounted for 56.59% (12,827 cases) and 8,507 (38.34%) originated in the United States. The top 50 drugs were associated with 15,149 cases (60.65%). The subsequent fatal outcome occurring in 4878 out of 24,976 cases (19.53%). Top 3 drug classes associated with SJS/TEN in FAERS were antiepileptics, non-steroidal anti-inflammatory drugs (NSAIDs) and others. Top drug classes associated with SJS/TEN deaths were antineoplastic agents and cephalosporins. Linear regression showed that the annual percentage of monoclonal antibody-related SJS/TEN reactions increased at an average rate of 0.25% (95% confidence interval: 0.18, 0.32) from 0.00% in 2004 to 4.79% in 2021, faster than any other drug class except antigout drug (allopurinol). Conclusion: By using the publicly available FAERS data, we have identified some important themes and trends in drug-related SJS/TEN reactions. Monoclonal antibodies and proton pump inhibitors are drugs with emerging trends causing SJS/TEN. Additionally, cephalosporin antibiotics have a higher mortality rate following SJS/TEN.

Indexed as

adverse drug reactionsfatal outcomeSJSStevens-Johnson syndromeTENtoxic epidermal necrolysistrends

Identifiers

PMID37605788
PMCPMC10440110
OpenAlexW4385879508

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.