Evidence map›Paper›PMID 39659615›Full record

ArticleFrontiers in endocrinology2024

Association of systemic immune-inflammation index with all-cause and cardio-cerebrovascular mortality in individuals with diabetic kidney disease: evidence from NHANES 1999-2018.

Manhuai Zhang, Siyang Ye, Jianbo Li, Meng Zhang, Li Tan, Yiqin Wang, Peichen Xie, Huajing Peng, Suchun Li, Sixiu Chen and 5 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

15 authors.

Manhuai Zhang *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Siyang Ye *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianbo Li *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Meng ZhangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Li TanDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yiqin WangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Peichen XieDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huajing PengDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Suchun LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sixiu ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qiong WenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Kam Wa ChanSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China.
Sydney C W TangDivision of Nephrology, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Bin LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wei ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence suggests a potential role of immune response and inflammation in the pathogenesis of diabetic kidney disease (DKD). The systemic immune-inflammation index (SII) offers a comprehensive measure of inflammation; however, its relationship with the prognosis of DKD patients remains unclear. Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, this cross-sectional study involved adults diagnosed with DKD. Cox proportional hazards models were utilized to assess the associations between SII and all-cause or cardio-cerebrovascular disease mortality. Additionally, restricted cubic spline, piecewise linear regression, and subgroup analyses were performed. Results: Over a median follow-up duration of 6.16 years, 1338 all-cause deaths were recorded. After adjusting for covariates, elevated SII levels were significantly associated with increased risks of all-cause and cardio-cerebrovascular disease mortality. Specifically, per one-unit increment in natural log-transformed SII (lnSII), there was a 29% increased risk of all-cause mortality ( Conclusion: Increased SII levels, whether examined as continuous variables or categorized, demonstrate a significant association with elevated risks of all-cause and cardio-cerebrovascular disease mortality among DKD patients. These findings imply that maintaining SII within an optimal range could be crucial in reducing mortality risk.

Indexed as

Cardiovascular DiseasesCerebrovascular DisordersDiabetic NephropathiesInflammationNutrition SurveysAdultAgedCause of DeathCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisall-cause mortalitycardio-cerebrovascular disease mortalitydiabetes mellitusdiabetic kidney diseaseNHANESpopulation-based studysystemic immune-inflammation index

Identifiers

PMID39659615
PMCPMC11628304

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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.