Evidence map›Paper›PMID 37600791›Full record

ArticleFrontiers in immunology2023

Case Report: Cadonilimab-related toxic epidermal necrolysis-like reactions successfully treated with supplemental Adalimumab.

Peng-Yu Chen, Zi-Yun Li, Sui-Qing Cai

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Peng-Yu ChenDepartment of Dermatology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Zi-Yun LiDepartment of Dermatology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Sui-Qing CaiDepartment of Dermatology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cadonilimab is the first bi-specific antibody approved for certain malignancies in June 2022, which has a modified Fc structure to reduce immune-related adverse events. To date, no reports have described Cadonilimab-related toxic epidermal necrolysis (TEN). Here, we report the first case of TEN-like reactions occurring during the treatment of hepatocellular carcinoma with Cadonilimab in combination with Lenvatinib and transarterial chemoembolization, successfully treated with supplemental Adalimumab. We confirmed Cadonilimab as the culprit and observed significant improvement in the patient's condition following Adalimumab treatment. The case emphasizes the potential risk of Cadonilimab inducing TEN, and suggests that supplemental Adalimumab could be a favorable option for treating refractory Cadonilimab-related TEN.

Indexed as

AdalimumabAntibodies, BispecificCarcinoma, HepatocellularImmune Checkpoint InhibitorsLiver NeoplasmsStevens-Johnson SyndromeHumansMaleMiddle AgedTreatment OutcomeWithholding TreatmentAdalimumabAntibodies, BispecificImmune Checkpoint InhibitorsAdalimumabCadonilimab/AK104case reportimmune checkpoint inhibitorimmune-related adverse eventstoxic epidermal necrolysis

Identifiers

PMID37600791
PMCPMC10435079
OpenAlexW4385501839

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.