Evidence map›Paper›PMID 38650947›Full record

ArticleFrontiers in immunology2024

Association between systemic inflammatory indicators with the survival of chronic kidney disease: a prospective study based on NHANES.

Yuan Chen, Yanfang Nie, Jiaying Wu, Chunsheng Li, Lu Zheng, Bixiu Zhu, Yu Min, Tao Ling, Xiaozhu Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
14.9field-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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Yuan ChenDepartment of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Yanfang NieDepartment of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Jiaying WuDepartment of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Chunsheng LiDepartment of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Lu ZhengDepartment of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Bixiu ZhuDepartment of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Yu MinDepartment of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Sichuan, China.
Tao LingDepartment of Pharmacy, Suqian First Hospital, Suqian, China.
Xiaozhu LiuDepartment of Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Taizhou Central Hospital · CNTaizhou University · CNCapital Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: systemic inflammation disorders were observed in chronic kidney disease (CKD). Whether the systemic inflammatory indicators could be optimal predictors for the survival of CKD remains less studied. Methods: In this study, participants were selected from the datasets of the National Health and Nutrition Examination Survey (NHANES) between 1999 to 2018 years. Four systemic inflammatory indicators were evaluated by the peripheral blood tests including systemic immune-inflammation index (SII, platelet*neutrophil/lymphocyte), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR). Kaplan-Meier curves, restricted cubic spline (RCS), and Cox regression analysis were used to evaluate the association between the inflammatory index with the all-cause mortality of CKD. Receiver operating characteristic (ROC) and concordance index (C-index) were used to determine the predictive accuracy of varied systemic inflammatory indicators. Sensitive analyses were conducted to validate the robustness of the main findings. Results: A total of 6,880 participants were included in this study. The mean age was 67.03 years old. Among the study population, the mean levels of systemic inflammatory indicators were 588.35 in SII, 2.45 in NLR, 133.85 in PLR, and 3.76 in LMR, respectively. The systemic inflammatory indicators of SII, NLR, and PLR were all significantly positively associated with the all-cause mortality of CKD patients, whereas the high value of LMR played a protectable role in CKD patients. NLR and LMR were the leading predictors in the survival of CKD patients [Hazard ratio (HR) =1.21, 95% confidence interval (CI): 1.07-1.36, p = 0.003 (3 Conclusion: Our study highlights that systemic inflammatory indicators are important for predicting the survival of the U.S. population with CKD. The systemic inflammatory indicators would add additional clinical value to the health care of the CKD population.

Indexed as

InflammationNutrition SurveysRenal Insufficiency, ChronicAgedBiomarkersFemaleHumansLymphocytesMaleMiddle AgedMonocytesNeutrophilsPrognosisProspective StudiesBiomarkersall-cause mortalitychronic kidney diseaseNHANESprospective studysystemic inflammatory index

Identifiers

PMID38650947
PMCPMC11033417
OpenAlexW4394575199

What OpenQuestion holds

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Registered trials

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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.