Evidence map›Paper›PMID 36091020›Full record

ArticleFrontiers in immunology2022

Association between frontal fibrosing Alopecia and Rosacea: Results from clinical observational studies and gene expression profiles.

Lin Liu, Yangmei Chen, Jiayi Chen, Yuzhou Xue, Tingqiao Chen, Yuxin Li, Xinyi Shao, Jin Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. IsSkin health and disease · 2026
    Article
  3. Frontal Fibrosing Alopecia: An Update.American journal of clinical dermatology · 2025
    Review
  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

8 authors at 2 institutions in 1 country.

Lin LiuDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yangmei ChenDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jiayi ChenDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuzhou XueDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China.
Tingqiao ChenDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuxin LiDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xinyi ShaoDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jin ChenDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, frontal fibrosing alopecia (FFA), a type of scarring alopecia, has attracted increasing attention. Several studies have reported the frequent occurrence of rosacea in FFA; however, the association between FFA and rosacea and the underlying pathogenesis have not been thoroughly clarified. Thus, this study aimed to quantify these relationships and investigate their shared molecular mechanisms. Methods: We evaluated the association between FFA and rosacea by analyzing clinical data from nine observational studies. We then analyzed the gene expression profiles of FFA and rosacea. First, differential expression analysis and weighted gene co-expression network analysis were used to identify the common differentially expressed genes (DEGs). Later, we conducted a functional enrichment analysis and protein-protein interaction network and used seven algorithms to identify hub genes. Then, we performed a correlation analysis between the hub genes and the gene set variation analysis scores of common pathways in the gene set enrichment analysis (GSEA). The results were validated using different datasets. Finally, transcription factors were predicted and verified, and CIBERSORT and single-sample GSEA were used to estimate the infiltrating immune cells. Results: Patients with FFA had significantly higher odds for rosacea (pooled odds ratio [OR], 2.46; 95% confidence interval [CI], 1.78-3.40), and the pooled prevalence of rosacea in patients with FFA was 23% (95% CI, 14-23%). Furthermore, we identified 115 co-DEGs and 13 hub genes ( Conclusion: This study contributes to the understanding of the relationship between FFA and rosacea, and based on the hub genes, we reveal the potential pathologies shared by the two diseases. This finding provides new insights of underlying molecular mechanisms and it may inspire future research on this comorbidity.

Indexed as

Lichen PlanusRosaceaAlopeciaGene Expression ProfilingGene Regulatory NetworksHumansTranscriptomebioinformaticscorrelation analysisdifferentially expressed genesfrontal fibrosing alopeciaimmune infiltrationrosacea

Identifiers

PMID36091020
PMCPMC9448884
OpenAlexW4293212535

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.