ReviewCureus2023
Association of Acetaminophen With Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: Pharmacologic Considerations and Treatment Options.
Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Pharmacovigilance of paracetamol-induced Stevens-Johnson Syndrome and toxic epidermal necrolysis in the Indian population.Indian journal of pharmacology · 2026Article
- Causal effects and immune cell mediators between prescription analgesic use and risk of infectious diseases: a Mendelian randomization study.Frontiers in immunology · 2023Article
- A Clinico-Epidemiological Study of Cutaneous Adverse Drug Reactions in a Tertiary Care Centre of Eastern India.Indian journal of dermatologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acetaminophen is an extremely common drug with many implications for its analgesic and antipyretic properties. It has a unique mechanism of action and downstream effects that separate it categorically from non-steroidal anti-inflammatory drugs. These differences come with potential adverse effects that range from mild drug reactions to severe life-threatening emergencies. While acetaminophen's toxic liver effects are well known, a lesser-known adverse effect of this drug is its association with the development of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). These dermatological emergencies involve similar pathological processes, including apoptosis of the epidermis and sloughing of the dermis and mucosa from the underlying layers with a positive Nikolsky sign. Currently, SJS and TEN are considered immune-mediated type IV hypersensitivity reactions predominantly involving CD8+ T lymphocytes. Other immune mediators, including regulatory T cells, natural killer cells, interleukins, and drug metabolites are speculated to be involved, but their mechanisms have not been entirely determined. These conditions are differentially diagnosed by the percentage of body area affected with SJS and TENS, involving <10% and >30%, respectively. Genomic variations in human leukocyte antigens (HLA) genes have been implicated in the susceptibility and severity of acetaminophen-induced SJS/TENS, however, details of these interactions remain unclear. Acetaminophen's widespread use and the morbidity of its associated skin pathologies SJS and TENS warrant an in-depth examination of the causative processes involved in their pathogenesis. It is critical that both physicians and patients be made aware that while acetaminophen is widely tolerated by most individuals, severe and potentially fatal interactions do occur, and further investigation is necessary to reduce these adverse effects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.