Evidence map›Paper›PMID 39127686›Full record

ArticleLipids in health and disease2024

Association between obesity and systemic immune inflammation index, systemic inflammation response index among US adults: a population-based analysis.

Yaoyao Zhou, Yaqi Wang, Taotao Wu, Anqi Zhang, Yingshuai Li

Registry-linked trialAbstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07431593 (Clinical Significance and Prognostic Value of Systemic Immune Inflammation Index and Systemic Inflammation Response Index in Obesity and Associated Metabolic Complications), which is not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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.

NCT07431593 recruitingnot on this mapstarted 2026, after this paper: background citation

Clinical Significance and Prognostic Value of Systemic Immune Inflammation Index and Systemic Inflammation Response Index in Obesity and Associated Metabolic Complications

TypeobservationalSponsorUniversity of RijekaRan2026 to 2027Enrolled200ConditionsOverweight and Obesity, Inflammation, Metabolic SyndromeArmsNutritional counselling
3 · Its place in the literature

Who cites it

33 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

5 authors.

Yaoyao Zhou *College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, 310051, China.
Yaqi Wang *College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, 310051, China.
Taotao WuCollege of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, 310051, China.
Anqi ZhangNational Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing, 100029, China.
Yingshuai LiNational Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Diseases, Beijing University of Chinese Medicine, Beijing, 100029, China. liyingshuai2013@163.com.

Funding

Beijing University of Traditional Chinese Medicine Campus level Project No. 90010961020140High level Key Discipline of National Administration of Traditional Chinese Medicine-Traditional Chinese constitutional medicine No. zyyzdxk-2023251Special Project of State Key Laboratory of Dampness Syndrome of Traditional Chinese Medicine jointly established by the Ministry and the Province No. SZ2022KF05
6 · The paper itself

Abstract

backgroundObesity is characterized by a chronic low-grade inflammatory condition. Two emerging inflammatory biomarkers, the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI), have gained attention. However, the relationships between obesity and SII/SRI remain unclear.

methodsIn this study, we analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018 among adults. SII-SIRI/SII/SIRI were categorized into three groups based on tertiles. The association between obesity and SII-SIRI/SII/SIRI was assessed by multivariable logistic regression models. Restricted cubic spline (RCS) plots were used to examine the nonlinear association between obesity and SII/SIRI. Finally, potential independent associations between obesity and SII/SIRI were further explored using subgroup analyses.

resultsThe study included 20,011 adults, of whom 7,890 (39.32%) were obesity. In model 1, participants in the high (Q3) level of SII-SIRI had a significantly association with obesity than those in the low (Q1) level group. The high level of SII and SIRI were positively associated with obesity as compared to low levels. Model 2 revealed a positive association between obesity and high levels of SII-SIRI/SII/SIRI. Model 3 demonstrated a similar trend. RCS curves revealed a nonlinear association linking obesity to SII/SIRI. Subgroup analysis showed an interaction between SII/SIRI and age.

conclusionsOur research suggested that obesity was positively associated with SII-SIRI/SII/SIRI in U.S. adults. SII/SIRI may represent a cost-effective and direct approach to assessing obesity.

Indexed as

BiomarkersInflammationNutrition SurveysObesityAdultAgedBody Mass IndexC-Reactive ProteinFemaleHumansLogistic ModelsMaleMiddle AgedUnited StatesBiomarkersC-Reactive ProteinNHANESObesityPopulation-based studySystemic immune inflammation indexSystemic inflammation response index

Identifiers

PMID39127686
PMCPMC11316435

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Registered trials

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.