Evidence map›Paper›PMID 38172773›Full record

ArticleBMC nephrology2024

Association between systemic immune inflammation Index and all-cause mortality in incident peritoneal dialysis-treated CKD patients: a multi-center retrospective cohort study.

Ruiying Tang, Jiexin Chen, Qian Zhou, Jihong Deng, Xiaojiang Zhan, Xiaoyang Wang, Yueqiang Wen, Ning Su, Xiaoran Feng, Qingdong Xu

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Ruiying TangDepartment of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China.
Jiexin ChenDepartment of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-Sen Univeristy, Guangzhou, China.
Jihong DengDepartment of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou Univeristy, ZhengZhou, China.
Yueqiang WenDepartment of Nephrology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Ning SuDepartment of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiaoran FengDepartment of Nephrology, Jiujiang NO.1 People's Hospital, Jiujiang, China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China. xqd82@163.com.ORCID 0000-0001-8755-7968

Funding

Science and Technology Research Project of Jiangmen City, China No. 2021YL01083
6 · The paper itself

Abstract

backgroundChronic inflammatory disorders in peritoneal dialysis (PD) contribute to the adverse clinical outcome. Systemic immune inflammation index (SII) is the novel and convenient measurement that is positively associated with various diseases. However, scarce is known regarding the association between SII with all-cause mortality among PD patients.

methodsIn this multi-center retrospective cohort study, 1,677 incident patients with PD were enrolled. Eligible patients were stratified into groups based on SII level: tertile 1(< 456.76), tertile 2(456.76 to 819.03), and tertile 3(> 819.03). The primary endpoint was the all-cause mortality. Both Cox regression analysis and competing risk models were used to examine the association between SII and all-cause mortality. Subgroup analysis was performed to assess the influence of the SII tertiles on all-cause mortality in different subgroups.

resultsDuring the follow-up period of 30.5 ± 20.0 months, 26.0% (437/1,677) patients died, of whom the SII tertile 3 group accounted for 39.1% (171/437) of the deaths. Patients in the SII tertile 3 group had a higher all-cause mortality rate than patients in the SII tertile 1 and 2 groups (log-rank = 13.037, P < 0.001). The SII tertile 3 group was significantly associated with 80% greater risk (95% confidence interval:1.13 to 2.85; P = 0.013) compared with the SII tertile 1 group in multivariable Cox regression analysis. The competing risk model also indicated that the relationship between SII tertiles and all-cause mortality remains (subdistribution hazard ratio: 1.86; 95% confidence interval: 1.15 to 2.02, P = 0.011). Furthermore, the relationship between the log-transformed SII and all-cause mortality in patients with PD was nearly linear (P = 0.124).

conclusionA close relationship was observed between the SII and all-cause mortality in patients undergoing PD, suggesting that more attention should be paid to the SII, which is a convenient and effective measurement in clinical practice.

Indexed as

Peritoneal DialysisRenal Insufficiency, ChronicHumansInflammationProportional Hazards ModelsRetrospective StudiesAll-cause mortalityInflammationPeritoneal dialysisPrognosisSystemic immune inflammation index

Identifiers

PMID38172773
PMCPMC10765751

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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.