Evidence map›Paper›PMID 35848372›Full record

ArticleRenal failure2022

Use of the systemic inflammation response index (SIRI) as a novel prognostic marker for patients on peritoneal dialysis.

Jiaqi Li, Yingxue Li, Yaowei Zou, Yaode Chen, Lizhen He, Ying Wang, Jingxuan Zhou, Fangqi Xiao, Hongxin Niu, Lingli Lu

Abstract read
In one paragraph

Article in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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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

10 authors.

Jiaqi LiDivision of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Yingxue LiDivision of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Yaowei ZouDivision of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Yaode ChenDepartment of General Practice, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Lizhen HeDepartment of General Practice, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Ying WangGeneral Practice and Special Medical Service Center, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Jingxuan ZhouGeneral Practice and Special Medical Service Center, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Fangqi XiaoGeneral Practice and Special Medical Service Center, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Hongxin NiuGeneral Practice and Special Medical Service Center, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Lingli LuDepartment of General Practice, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe systemic inflammatory response index (SIRI), a novel inflammation maker, has proven to be associated with prognostic outcomes in various diseases. However, few studies have been conducted assessing how SIRI may influence outcomes of patients on peritoneal dialysis (PD). Herein, we assessed the predictive value of SIRI on mortality all-cause mortality, including cardiovascular disease (CVD) in PD patients.

methodsA total of 646 PD patients were enrolled in this study. PD patients received regular PD treatments at the Zhujiang Hospital from 1 January 2011 to 31 December 2018. SIRI values could be computed as follows: neutrophil count × monocyte count/lymphocyte count. Patients were divided into two groups according to the median level of SIRI. Cox regression analysis and Kaplan-Meier methods were applied to analyze the relationship between SIRI and mortality outcomes in PD patients.

resultsDuring the median 31-month follow-up period, 97 (15.0%) PD patients died from all-causes, and 47 (49.0%) died of CVD. Kaplan-Meier analyses revealed that a high SIRI corresponded to the high mortality of all-cause deaths, including CVD (both

conclusionsSIRI was a promising predictor of mortality in PD patients, with a higher SIRI corresponding to increased risk of mortality.

Indexed as

Cardiovascular DiseasesPeritoneal DialysisHumansInflammationPrognosisRetrospective Studiesall-cause mortalitycardiovascular diseasemicroinflammationperitoneal dialysisSystemic inflammatory response index

Identifiers

PMID35848372
PMCPMC9297720

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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.