Evidence map›Paper›PMID 40748975›Full record

ArticlePloS one2025

Association between oxidative balance score and systemic immune-inflammation index: NHANES 2003-2018.

Yongling Niu, Ziyi Fan, Zelin Wang, Shufen Liang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. 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

4 authors.

Yongling NiuDepartment of Neurology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Ziyi FanDepartment of Oncology, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China.
Zelin WangDepartment of Laboratory, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Shufen LiangDepartment of Laboratory, The Second Hospital of Shanxi Medical University, Taiyuan, China.ORCID https://orcid.org/0009-0004-3656-354X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs we all known oxidative stress and inflammation were interdependent and interconnected. Oxidative balance score (OBS) could assess the antioxidant capacity of an individual's body. The purpose of this study sought to investigate the connection between OBS and the recently proposed inflammatory indicator--Systemic immune-inflammation index (SII).

methodsThe study incorporated 16,080 participants from National Health and Nutrition Examination Survey (NHANES) database (2003-2018). We utilized weight multivariable linear regression analyses to assess this association. Additionally, subgroup analyses and linear relationships were performed for deeper insights. The robustness of the findings was ensured by conducting multiple sensitivity analyses.

resultsIn the multivariate model using the first OBS category as the reference, higher OBS quartiles had a significantly negative association with SII [β = -51.52 (95%CI: -68.31, -34.73), P for trend < 0.001]. The interaction test showed that age (P < 0.001) and hypertension (P = 0.043) had a significant effect on this connection. Restricted cubic splines plot with four knots illustrated a linear relationship between OBS and SII (P-non-liner = 0.677). The findings from the sensitivity analysis aligned with the outcomes of the primary analysis, confirming the consistency and reliability of the results.

conclusionsOBS based on diet and lifestyle had a strongly negative association with SII. This study emphasized the importance of improving an individual's overall antioxidant status through diet and lifestyle changes, highlighting its effectiveness in reducing inflammation index.

Indexed as

InflammationOxidative StressAdultAgedAntioxidantsFemaleHumansMaleMiddle AgedNutrition SurveysAntioxidants

Identifiers

PMID40748975
PMCPMC12316250

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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.