Evidence map›Paper›PMID 38263234›Full record

ArticleScientific reports2024

Association between systemic immune-inflammation index and insulin resistance and mortality.

Xiaoqi Deng, Dichuan Liu, Miao Li, Jie He, Yufan Fu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Xiaoqi DengDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Dichuan LiuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China. 1196340623@qq.com.
Miao LiNursing Department, Beijing Tiantan Hospital, Beijing, 100070, China.
Jie HeDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Yufan FuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.

Funding

National Natural Science Foundation of China 30670870
6 · The paper itself

Abstract

The role of inflammation in disease promotion is significant, yet the precise association between a newly identified inflammatory biomarker and insulin resistance (IR) and mortality remains uncertain. We aim to explore the potential correlation between systemic immune-inflammation index (SII) and these factors. We used data from 2011 to 2016 of National Health and Nutrition Examination Survey, and multivariate logistic regression and restricted cubic spline were employed. Subgroup and interaction analysis were conducted to recognize the consistency of the results. The association between SII and mortality was described by survival analysis. 6734 participants were enrolled, of whom 49.3% (3318) exhibited IR and 7.02% experienced mortality. Multivariate logistic regression revealed that individuals in the highest quartile (Q4) of SII had a significantly increased risk of IR compared to those in the lowest quartile (Q1). We then identified a linear association between SII and IR with an inflection point of 407, but may be influenced by gender. Similarly, compared to Q1, people whose SII at Q4 showed a higher all-cause and cardiovascular mortality. It showed a significant association between SII and both all-cause and cardiovascular mortality, but the results need to be interpreted with caution.

Indexed as

Cardiovascular DiseasesInsulin ResistanceMortalityData Interpretation, StatisticalHumansInflammationNutrition Surveys

Identifiers

PMID38263234
PMCPMC10806274

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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.