Cited by 7Skin and Cellular Biology ResearchGenetic and rare skin diseases.Drug-Induced Adverse Reactions

The DOI matches its Crossref record.

Epidermal necrolysis: characterization of different phenotypes using an unsupervised clustering analysis

Bettuzzi, Thomas, Hua, Camille, Diaz, Emmanuelle, Colin, Audrey, Wolkenstein, Pierre, de Prost, Nicolas, Ingen‐Housz‐Oro, Saskia·2022·British Journal of Dermatology

Overview

Integrity signals

Registry

Crossref · 10.1111/bjd.21009

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Factor analysis and hierarchical clustering on baseline clinical and biological data for 113 patients with epidermal necrolysis found 3 clusters: 1 cluster of sicker patients with high mortality and 2 clusters of younger patients.

    “Bettuzzi et al (2022) utilized factor analysis and hierarchical clustering on baseline clinical and biological data for 113 patients with epidermal necrolysis, finding 3 clusters: 1 cluster of sicker patients with high mortality and 2 clusters of younger patients.”

    From Artificial intelligence–enabled precision medicine for inflammatory skin diseases (2026) · cites this paper as Bettuzzi et al, 2022

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 7

  1. 10.1111/bjd.18360 · DOI
  2. 10.1016/S0140-6736(16)30378-6 · DOI
  3. 10.1046/j.1523-1747.2000.00061.x · DOI
  4. 10.1001/jamadermatol.2018.5605 · DOI
  5. 10.18637/jss.v025.i01 · DOI
  6. 10.18637/jss.v070.i01 · DOI
  7. 10.1186/s13023-018-0793-7 · DOI

Cited by

Sorted by citations

Metadata

Authors
Bettuzzi, T., Hua, C., Diaz, E., Colin, A., Wolkenstein, P., de Prost, N., & Ingen‐Housz‐Oro, S.
Affiliations
  • Université Paris-Est Créteil (FR)
  • Service de Dermatologie
  • Assistance Publique – Hôpitaux de Paris (FR)
Corresponding author
Bettuzzi, Thomas
Venue
British Journal of Dermatology
Published
2022-04-06
Volume
186
Issue
6
Pages
1037-1039
ISSN
  • 0007-0963 (ISSN-L)
  • 1365-2133
OpenAlex
W4206793633
Cited by
7
References
0
Citations by year
2026: 1 · 2025: 4 · 2023: 1 · 2022: 1
FWCI
0.80
Type
journal article
Language
en
Open access
closed
Locations
  • British Journal of Dermatology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Skin and Cellular Biology Research
  • Health Sciences › Medicine › Dermatology › Genetic and rare skin diseases.
  • Health Sciences › Medicine › Pharmacology (medical) › Drug-Induced Adverse Reactions
Keywords
epidermal necrolysis, phenotypes, unsupervised clustering, disease heterogeneity, epidermolysis bullosa
MeSH terms
Humans, Phenotype, Stevens-Johnson Syndrome, Cluster Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review