Evidence map›Paper›PMID 39675778›Full record

ReviewInternational wound journal2024

A review on toxic epidermal necrolysis-like superficial wound lesions: Issue and challenge on 10 clinical entities.

Bahareh Abtahi-Naeini, Mahsa Pourmahdi-Boroujeni, Fereshte Rastegarnasab, Ali Emamjomeh

Abstract readReview
In one paragraph

Review in International wound journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

4 authors.

Bahareh Abtahi-NaeiniPediatric Dermatology Division, Department of Pediatrics, Imam Hossein Children's Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0003-1081-9477
Mahsa Pourmahdi-BoroujeniStudent Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0003-4462-2883
Fereshte RastegarnasabStudent Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0003-2366-7804
Ali EmamjomehStudent Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0009-0002-7607-4041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic epidermal necrolysis (TEN) is a severe skin reaction caused by extensive epidermal and mucosal necrosis. This clinical phenomenon is known as an acute syndrome of apoptotic pan-epidermolysis (ASAP). The ASAP phenomenon is observed in conditions that mimic TEN, highlighting the challenge in distinguishing these conditions. While TEN is a well-recognized entity, distinguishing it from other TEN-like conditions presents significant diagnostic and treatment challenges. These conditions include drug rash with eosinophilia and systemic symptoms (DRESS), generalized bullous fixed drug eruption (GBFDE), acute generalized exanthematous pustulosis (AGEP), TEN-like methotrexate toxicity, mustard gas toxicity, pseudoporphyria, mycoplasma-induced rash and mucositis (MIRM), multisystem inflammatory syndrome in children (MIS-C), graft versus host disease (GVHD), and acute cutaneous lupus erythematosus and subacute cutaneous lupus erythematosus. This review explores these ten separate entities and debates their clinical features, pathophysiology, diagnosis and management.

Indexed as

Stevens-Johnson SyndromeAdultAgedAged, 80 and overChildDiagnosis, DifferentialFemaleHumansMaleMiddle Agedacute syndrome of apoptotic pan‐epidermolysisdetachmentTEN‐like manifestationstoxic epidermal necrolysis

Identifiers

PMID39675778
PMCPMC11646660

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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.