Evidence map›Paper›PMID 38993709›Full record

ArticleFrontiers in public health2024

The association between SII and aging: evidence from NHANES 1999-2018.

Nanbu Wang, Lian Ren, Ziyuan Li, Yunhao Hu, Jingpei Zhou, Quan Sun, Bin Pei, Xinyu Li, Wanqing Peng, Jinyan Yu and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Stability and predictors of phenotypic age acceleration among virally suppressed Asians with HIV over five years.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

14 authors.

Nanbu Wang *State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Lian Ren *Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Zhongnan Medical Journal Press, Zhongnan Hospital of Wuhan University, Wuhan, China.
Ziyuan Li *The First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Yunhao HuThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Jingpei ZhouThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Quan SunThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Bin PeiDepartment of Evidence-Based Medicine Center, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Wuhan, China.
Xinyu LiThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Wanqing PengThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Jinyan YuThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Renhui ZhaoThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Ziting HuangThe First Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Zhenhu ChenAcupuncture and Rehabilitation Centre, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guoxin HuangDepartment of Evidence-Based Medicine Center, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The study aimed to examine the association between the systemic immune-inflammation index (SII), a contemporary metric of systemic inflammatory response, and biological aging, which are closely interconnected processes. Methods: This cross-sectional study utilized 10 cycles of data from the NHANES database spanning from 1990 to 2018. The study examined the relationship between the SII index, calculated as P * N/L, where P represents preoperative peripheral platelet count, N represents neutrophil count, and L represents lymphocyte count, and biological aging. Biological aging was assessed through various methods, such as phenotypic age, phenotypic age acceleration (PhenoAgeAccel), biological age, and biological age acceleration (BioAgeAccel). Correlations were analyzed using weighted linear regression and subgroup analysis. Results: Among the 7,491 participants analyzed, the average age was 45.26 ± 0.34 years, with 52.16% being female. The average phenotypic and biological ages were 40.06 ± 0.36 and 45.89 ± 0.32 years, respectively. Following adjustment for potential confounders, elevated SII scores were linked to increased phenotypic age, biological age, Phenotypic age acceleration, and Biological age acceleration. Positive correlations were observed between health behavior and health factor scores and biological aging, with stronger associations seen for health factors. In health factor-specific analyses, the β coefficient was notably higher for high BMI. The robust positive associations between SII scores and both phenotypic age and biological age in the stratified analyses were consistently observed across all strata. Conclusion: The evidence from the NHANES data indicate that SII may serve as a valuable marker for assessing different facets of aging and health outcomes, such as mortality and the aging process. Additional research is warranted to comprehensively elucidate the implications of SII in the aging process and its utility as a clinical instrument for evaluating and addressing age-related ailments.

Indexed as

AgingInflammationNutrition SurveysAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited Statesagingbiological ageNHANESphenotypic agesystemic immune-inflammatory index

Identifiers

PMID38993709
PMCPMC11236748

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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.