Evidence map›Paper›PMID 36632816›Full record

ArticleRenal failure2023

Pan-immune-inflammation value is associated with poor prognosis in patients undergoing peritoneal dialysis.

Fengping Zhang, Luohua Li, Xianfeng Wu, Yueqiang Wen, Xiaojiang Zhan, Fenfen Peng, Xiaoyang Wang, Qian Zhou, Xiaoran Feng

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
11.3field-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

27 citing papers in PubMed, 45 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 7 institutions in 1 country.

Fengping ZhangDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Luohua LiDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Xianfeng WuDepartment of Nephrology, Affiliated Sixth People's Hospital, Shanghai, China.
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Fenfen PengDepartment of Nephrology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoran FengDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Jiujiang First People's Hospital · CNFirst Affiliated Hospital of Nanchang University · CNFirst Affiliated Hospital of Zhengzhou University · CNGuangzhou Medical University · CNSouthern Medical University · CNSun Yat-sen University · CNThe Sixth People's Hospital of Shenyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune-inflammatory biomarkers (IIBs) have been shown to be correlated with prognosis in patients undergoing peritoneal dialysis (PD). In this study, we aimed to evaluate the relationship between a novel comprehensive biomarker, the pan-immune-inflammation value (PIV), and the prognosis of patients undergoing PD.

methodsWe retrospectively analyzed data from a multicenter, large-sample PD database. PIV was calculated as (neutrophil count × platelet count × monocyte count)/lymphocyte count. The prognostic endpoints in this study were all-cause death all-cause, cardiovascular disease (CVD) and infection-related death. The Kaplan-Meier method, a Cox proportional hazards regression, Fine-Gray competing risk model, smooth curve, and subgroup analysis were used to analyze the independent relationship between PIV and the prognosis of patients undergoing PD.

resultsA total of 2796 cases of PD were included, and the study population was divided into Tertiles 1, 2, and 3, according to the tertiles of baseline PIVs. After adjusting for multiple model factors, patients in the Tertile 3 group had a significantly higher risk of all-cause death, CVD death and infection-related death compared with patients with PIV in the Tertile 1 group. Interaction tests showed no positive correlations for subgroup parameters. Regarding all-cause death, compared with the lowest tertile, the multivariable-adjusted hazard ratios (95% confidence intervals) of the highest and middle tertiles were 1.55 (1.25-1.94) and 1.77 (1.43-2.19), respectively; PIV (log2 processing) was associated with 17% excess of mortality in the continuous model.

conclusionsA high PIV at baseline was significantly associated with an increased risk of deaths due to all-causes, CVD and infection in patients undergoing PD.

Indexed as

Cardiovascular DiseasesPeritoneal DialysisBiomarkersHumansInflammationPrognosisProportional Hazards ModelsRetrospective StudiesBiomarkersbiomarkerpan-immune-inflammation valuePeritoneal dialysisprognosis

Identifiers

PMID36632816
PMCPMC9848369
OpenAlexW4315699809

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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.