Evidence map›Paper›PMID 39687775›Full record

ArticleJournal of inflammation research2024

Inflammatory Burden Index: A Superior Prognostic Biomarker of Systemic Inflammation in Patients on Peritoneal Dialysis.

Jiexin Chen, Ruiying Tang, Na Tian, Jihong Deng, Shuilian Ao, Fenfen Peng, Xiaojiang Zhan, Yueqiang Wen, Xiaoyang Wang, Xiaoran Feng and 5 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Jiexin Chen *Department of Nephrology, Jiangmen Central Hospital, Jiangmen, People's Republic of China.
Ruiying Tang *Department of Nephrology, Jiangmen Central Hospital, Jiangmen, People's Republic of China.ORCID 0000-0002-9526-4505
Na TianDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, People's Republic of China.
Jihong DengDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, People's Republic of China.
Shuilian AoDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, People's Republic of China.
Fenfen PengDepartment of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.ORCID 0000-0003-2371-1350
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Xiaoran FengDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, People's Republic of China.
Ning SuDepartment of Hematology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Xingming TangDepartment of Nephrology, Dongguan Songshan Lake Tungwah Hospital, Dongguan, People's Republic of China.
Xianfeng WuDepartment of Nephrology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Systemic inflammation biomarkers, derived from routine blood tests, have been demonstrated to be associated with prognosis of patients undergoing peritoneal dialysis (PD). However, studies focusing on the comparisons of their role on predictive efficacy for prognosis of PD patient are limited and results are inconsistent. The purpose of this study was to evaluate the prognostic value of various systemic inflammation biomarkers and to identify the optimal one in PD patients. Patients and Methods: This longitudinal study involved 3,225 patients undergoing PD across China. The prognostic accuracy of systemic inflammatory biomarkers was evaluated using C-statistics. Independent prognostic biomarkers of outcomes were determined using multivariate Cox proportional hazards regression analysis. Results: During a 46-month follow-up, 829 (25.7%) patients died, with 458 (55.3%) deaths attributed to cardiovascular disease (CVD). The highest C-statistics were observed for the IBI, with 0.619 and 0.621 for all-cause and CVD mortality, respectively. The optimal threshold of the IBI for predicting prognosis in patients undergoing PD was 50.0. An elevated IBI was a significant independent predictor of all-cause mortality, with a 1-SD increase associated with higher risks of all-cause and CVD mortality. Participants in the upper two quartiles of IBI exhibited increased risks of all-cause mortality by 41.2% and 67.6%, respectively, compared to those in the lowest quartile. Similar results were observed for CVD mortality. Conclusion: The IBI is a superior prognostic indicator of survival and could be broadly applied for prognosis of patients undergoing PD. Elevated IBI is an independent risk factor for all-cause and CVD mortality.

Indexed as

biomarkerperitoneal dialysisprognosissystemic inflammation

Identifiers

PMID39687775
PMCPMC11648290

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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.