Evidence map›Paper›PMID 35402441›Full record

ArticleFrontiers in medicine2022

Efficacy and Safety of Dupilumab in Chinese Patients With Atopic Dermatitis: A Real-World Study.

Bingjing Zhou, Cong Peng, Liqiao Li, Runqiu Liu, Lei Zhu, Xiang Chen, Jie Li

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
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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

7 authors.

Bingjing ZhouDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Cong PengDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Liqiao LiDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Runqiu LiuDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Lei ZhuDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Xiang ChenDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Jie LiDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atopic dermatitis (AD) is a common skin disease, but treatment of this disease has been challenging. Dupilumab is a new biological agent for AD that has been proven to be safe and effective in clinical trials. Although dupilumab was approved for listing in China in June 2020, real-world data about the application of dupilumab in China are lacking. This study aimed to collect and analyze real-world data on dupilumab among Chinese AD patients. Methods: Demographic and clinical data for 116 AD patients receiving dupilumab treatment were reviewed. The Eczema Area and Severity Index (EASI), SCORing Atopic Dermatitis (SCORAD), Numerical Rating Scale (NRS), Patient Oriented Eczema Measure (POEM), and Dermatology Quality of Life Index (DLQI) of patients were evaluated every 2 weeks from baseline to 16 weeks of treatment. Any adverse events during treatment were recorded. Results: Among the 116 patients in this study, baseline levels of IgE, eosinophils, and LDH were elevated in 62.79% ( Conclusion: The real-world data in China showed that dupilumab can effectively treat AD and is well tolerated with a low incidence of adverse events.

Indexed as

atopic dermatitisbiological agentsdupilumabefficacyreal world

Identifiers

PMID35402441
PMCPMC8984471

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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.