Evidence map›Paper›PMID 37821960›Full record

ArticleDiabetology & metabolic syndrome2023

System inflammation response index: a novel inflammatory indicator to predict all-cause and cardiovascular disease mortality in the obese population.

Fanliang Kong, Junhao Huang, Chunhua Xu, Tingyuan Huang, Grace Wen, Wenke Cheng

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
13.9field-weighted citation impact, top 1% of its field
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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Systemic immune inflammation index with all-cause and cause-specific mortality: a meta-analysis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
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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

6 authors at 4 institutions in 2 countries.

Fanliang Kong *University Medical Center of Göttingen, Georg-August University, Göttingen, Germany.
Junhao Huang *Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Chunhua XuDepartment of Recuperation, Lintong Rehabilitation, and Recuperation Center, Xian, Shaanxi, China.
Tingyuan HuangDepartment of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Grace WenUniversity Medical Center of Göttingen, Georg-August University, Göttingen, Germany.
Wenke ChengMedical Faculty, University of Leipzig, Leipzig, Germany. cwk2517@163.com.
University of Göttingen · DEFirst Affiliated Hospital of Jinan University · CNGuangzhou Medical University · CNLeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to investigate the relationship between two novel inflammatory markers, namely, the Systemic Inflammatory Response Index (SIRI) and the Systemic Immune Inflammatory Index (SII), as well as the all-cause and cardiovascular disease (CVD) mortality in the obese population. MATERIALS AND

methodsWe conducted a prospective cohort study based on the data of 13,026 obese adults (age ≥ 18 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 and followed until December 2019. SIRI was calculated by the formula: (neutrophil count × monocyte count) / lymphocyte count, while that of SII was: (platelet count × neutrophil count)/lymphocyte count. The association of SIRI and SII with all-cause and CVD mortality was evaluated using Cox regression. In addition, the nomogram was performed to predict 10-year survival probability.

resultsDuring a median follow-up of 137 months, 1959 and 553 all-cause and CVD deaths were recorded, respectively. Spearman correlation analysis indicated that SIRI and SII were unrelated to almost all baseline characteristics (r < 0.15). Multivariate Cox regression models displayed that each standard deviation (SD) increase in SIRI was associated with a 16% (HR 1.16; 95% CI 1.09-1.24) and 22% (HR 1.22; 95% CI 1.10-1.36) increase in the risk of all-cause and CVD mortality, respectively. Likewise, every SD increase in SII was correlated with a 9% (HR 1.09; 95% CI 1.02-1.16) and 14% (HR 1.14; 95% CI 1.04-1.26) increase in the risk of all-cause and CVD mortality, respectively. The predictive value of SIRI for all-cause and CVD mortality (AUC = 0.601 and 0.624) exceeded that of SII (AUC = 0.528 and 0.539). Moreover, the nomogram displayed a substantial predictive value for 10-year survival (AUC = 0.847) with sensitivity and specificity exceeding 75%.

conclusionsIn the obese population, SIRI and SII are independent risk factors for all-cause and CVD mortality. Notably, the predictive ability of SIRI for both all-cause and CVD mortality significantly outperforms that of SII, suggesting that SIRI is a more valuable marker of inflammation.

Indexed as

All-cause mortalityCardiovascular diseaseInflammationMortalitySystemic immune inflammatory indexSystem inflammation response index

Identifiers

PMID37821960
PMCPMC10566161
OpenAlexW4387519398

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.