Evidence map›Paper›PMID 38997774›Full record

ArticleEuropean journal of medical research2024

Exploring the inverse relationship between serum total bilirubin and systemic immune-inflammation index: insights from NHANES data (2009-2018).

Shan-Shan Huang, Yi Ding, Xiao-Na Yi, Hai-Yan Mao, Zhen-Ye Xie, Xing-Kai Shen, Yan Lu, Jing Yan, You-Wei Wang, Zhou-Xin Yang

Abstract read
In one paragraph

Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

Shan-Shan HuangDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, 315100, China.
Yi DingDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, 315100, China.
Xiao-Na YiDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, 315100, China.
Hai-Yan MaoDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, 315100, China.
Zhen-Ye XieDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, 315100, China.
Xing-Kai ShenDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo, 315100, China.
Yan LuZhejiang Key Laboratory of Geriatrics and Geriatrics Institute of Zhejiang Province, Zhejiang Hospital, Hangzhou, 310030, China.
Jing YanZhejiang Key Laboratory of Geriatrics and Geriatrics Institute of Zhejiang Province, Zhejiang Hospital, Hangzhou, 310030, China. yanjing201801@163.com.
You-Wei WangInstitute of Medical Engineering & Translational Medicine, Tianjin University, Tianjin, 300072, China. youwei.wang@tju.edu.cn.
Zhou-Xin YangZhejiang Key Laboratory of Geriatrics and Geriatrics Institute of Zhejiang Province, Zhejiang Hospital, Hangzhou, 310030, China. yangzhouxin@hotmail.com.

Funding

the Department of Health of Zhejiang Province 2020KY388Zhejiang Provincial Natural Science Foundation of China LY21H150002
6 · The paper itself

Abstract

backgroundBilirubin is known for its multifaceted attributes, including antioxidant, anti-inflammatory, immunomodulatory, and antiapoptotic properties. The systemic immune-inflammation index (SII) is a recent marker that reflects the balance between inflammation and immune response. Despite the wealth of information available on bilirubin's diverse functionalities, the potential correlation between the total bilirubin (TB) levels and SII has not been investigated so far.

methodsLeveraging data from the National Health and Nutrition Examination Survey spanning 2009-2018, the TB levels were categorized using tertiles. Employing the chi-squared test with Rao and Scott's second-order correction and Spearman's rank correlation analysis, the association between TB and SII was examined. The potential nonlinearities between TB and SII were evaluated using restricted cubic spline (RCS) analysis. Weighted linear regression, adjusted for covariates, was used to explore the correlation between TB and SII, with further subgroup analyses.

resultsA total of 16,858 participants were included, and the findings revealed significant SII variations across TB tertiles (p < 0.001). The third tertile (Q3) exhibited the lowest SII level at 495.73 (295.00) 1000 cells/µL. Spearman rank correlation disclosed the negative association between TB and SII. RCS analysis exposed the lack of statistically significant variations in the nonlinear relationship (p > 0.05), thereby providing support for a linear relationship. Weighted linear regression analysis underscored the negative correlation between TB and SII (β 95% CI - 3.9 [- 5.0 to  - 2.9], p < 0.001). The increase in the TB levels is associated with a significant linear trend toward decreasing SII. After controlling for relative covariates, this negative correlation increased (p < 0.001). Subgroup analysis confirmed the significant negative TB-SII association.

conclusionA notable negative correlation between TB and SII implies the potential protective effects of bilirubin in inflammation-related diseases.

Indexed as

BilirubinInflammationNutrition SurveysAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedBilirubinBiomarkersNHANESRelationshipSystemic immune-inflammation indexTotal bilirubin

Identifiers

PMID38997774
PMCPMC11241915

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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.