Evidence map›Paper›PMID 41583119›Full record

ArticleMediators of inflammation2026

Association Between Atopic Dermatitis and Systemic Immune-Inflammation Index: Evidence From NHANES 1999-2006.

Jie Han, Ge Du, Shuping Guo, Jianhua Hao, Yuqi Wang, Rui Li, Xiaoqing Lang, Yingjie Zhang, Xiulan Zhu, Hongzhou Cui

Abstract read
In one paragraph

Article in Mediators of inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Article
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

10 authors.

Jie HanDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0000-0002-0967-1906
Ge DuDepartment of Endocrinology, Shanxi Provincial People's Hospital, Taiyuan, China, spph-sx.com.ORCID https://orcid.org/0009-0009-8255-4608
Shuping GuoDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0009-0006-1240-7280
Jianhua HaoDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0009-0007-0032-7221
Yuqi WangDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0009-0007-4384-0359
Rui LiDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0009-0009-3062-9655
Xiaoqing LangDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0009-0005-4418-6040
Yingjie ZhangDepartment of Dermatology, First Medical Center of Chinese PLA General Hospital, Beijing, China, 301hospital.com.cn.ORCID https://orcid.org/0000-0003-4175-0492
Xiulan ZhuDepartment of Dermatology, Changzhi Second People's Hospital, Changzhi, Shanxi, China.ORCID https://orcid.org/0009-0005-0459-180X
Hongzhou CuiDepartment of Dermatology, First Hospital of Shanxi Medical University, Taiyuan, China, sxmu.edu.cn.ORCID https://orcid.org/0009-0001-9650-7783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical studies have demonstrated that the systemic immune-inflammation index (SII) is widely used to assess immunity and inflammation in patients. However, the association between SII and atopic dermatitis (AD) remains unclear. This study, based on the National Health and Nutrition Examination Survey (NHANES) database, aims to explore the relationship between SII and AD. Methods: This study utilized NHANES data from 1999 to 2006, with a total of 8194 subjects included in the final analysis. We examined the associations between AD, SII, and other covariates by analyzing baseline characteristics and performing correlation analyses. Multivariate generalized linear models (GLMs) were used to analyze the correlation between AD and SII risk. A weighted multivariate logistic regression model was applied to examine the association between SII and AD. Additionally, a nomogram was constructed to predict the risk of developing AD. The eXtreme Gradient Boosting (XGBoost) algorithm was employed to evaluate feature importance. Finally, subgroup analysis was performed to further explore the relationship between SII and AD across different subpopulations. Results: Significant differences were observed between the AD and control groups in terms of race, SII, SII group, and other variables. Furthermore, the Conclusion: Elevated SII is independently associated with increased AD risk. Although the cross-sectional design precludes causal inference, SII represents a cost-effective biomarker for AD risk stratification. Critically, emerging evidence positions SII as a predictor of therapeutic response-particularly to JAK inhibitors and biologics-highlighting its dual utility in risk assessment and precision management of AD.

Indexed as

Dermatitis, AtopicInflammationAdolescentAdultFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysRisk FactorsYoung Adultatopic dermatitiscorrelation analysisNHANESrisk factorsystemic immune-inflammation index

Identifiers

PMID41583119
PMCPMC12824450

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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.