Evidence map›Paper›PMID 38992866›Full record

ArticleSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2024

Diabetes, glycemic profile and risk of vitiligo: A Mendelian randomization study.

Shucheng Hu, Yuhui Che, Jiaying Cai, Siyan Chen, Ruifan Gao, Xiaopeng Huang

RetractedAbstract readRetracted Publication
In one paragraph

Article in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Diabetes, glycemic profile and risk of vitiligo: A Mendelian randomization study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Shucheng HuClinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0009-0005-6585-3017
Yuhui CheClinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jiaying CaiClinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Siyan ChenDepartment of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ruifan GaoDepartment of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiaopeng HuangClinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

"Hundred Talents Program" of the Hospital of the Chengdu University of Traditional Chinese Medicine 22-B09The Affiliated Hospital of Chengdu University of Traditional Chinese Medicine 23SZ07Xinglin Scholar Research Promotion Project of Chengdu University of TCM QJJJ2022010
6 · The paper itself

Abstract

backgroudPrevious observational studies have shown that vitiligo usually co-manifests with a variety of dysglycemic diseases, such as Type 1 diabetes mellitus (T1DM) and Type 2 diabetes mellitus (T2DM). Mendelian randomization (MR) analysis was performed to further evaluate the causal association between fasting plasma glucose, glycosylated hemoglobin (HbA1c), T1DM, T2DM and vitiligo. MATERIALS AND

methodsWe used aggregated genome-wide association data from the Integrative Epidemiology Unit (IEU) online database of European adults vitiligo; HbA1c data were from IEU. Fasting blood glucose data were obtained from the European Bioinformatics Institute (EBI). T1DM and T2DM data were from FinnGen. We used bidirectional two-sample and multivariate MR analyses to test whether dysglycemic measures (fasting blood glucose, HbA1c), diabetes-related measures (T1DM, T2DM) are causatively associated with vitiligo. Inverse variance weighting (IVW) method was used as the main test method, MR-Egger, Weighted mode and Weighted median were used as supplementary methods.

resultsWe found no statistically significant evidence to support a causal association between dysglycemic traits and vitiligo, but in the correlation analysis of diabetic traits, our data supported a positive causal association between T1DM and vitiligo (p = 0.018). In the follow-up multivariate MR analysis, our results still supported this conclusion (p = 0.016), and suggested that HbA1c was not a mediator of T1DM affecting the pathogenesis of vitiligo. No reverse causality was found in any of the reverse MR Analyses of dysglycemic traits and diabetic traits.

conclusionsOur findings support that T1DM is a risk factor for the development of vitiligo, and this conclusion may explain why the co-presentation of T1DM and vitiligo is often seen in observational studies. Clinical use of measures related to T1DM may be a new idea for the prevention or treatment of vitiligo.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genome-Wide Association StudyGlycated HemoglobinMendelian Randomization AnalysisVitiligoAdultFemaleHumansMaleRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanabnormal blood glucose traitsMendelian randomizationtype 1 diabetes mellitustype 2 diabetes mellitusvitiligo

Identifiers

PMID38992866
PMCPMC11239318

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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.