Evidence map›Paper›PMID 32565726›Full record

ArticleMediators of inflammation2020

Neutrophil to Lymphocyte Ratio Predicts Adverse Cardiovascular Outcome in Peritoneal Dialysis Patients Younger than 60 Years Old.

Yingsi Zeng, Zijun Chen, Qinkai Chen, Xiaojiang Zhan, Haibo Long, Fenfen Peng, Fengping Zhang, Xiaoran Feng, Qian Zhou, Lingling Liu and 8 more

Abstract read
In one paragraph

Article in Mediators of inflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

18 authors.

Yingsi ZengDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Zijun ChenDepartment of Nephrology, Affiliated Dongguan People's Hospital, Southern Medical University, Guangdong, China.
Qinkai ChenDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Haibo LongDepartment of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Fenfen PengDepartment of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0003-2737-1971
Fengping ZhangDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiangxi, China.
Xiaoran FengDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiangxi, China.ORCID https://orcid.org/0000-0002-5645-5691
Qian ZhouDepartment of Medical Statistics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lingling LiuDepartment of General Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xuan PengDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Evergreen Tree Nephrology AssociationEvergreen Tree Nephrology Association, Guangzhou, China.
Guanhua GuoDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Yujing ZhangDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Zebin WangDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-8867-7187
Jiao LiDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0003-4429-7793
Jianbo LiangDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil to lymphocyte ratio (NLR) is a new inflammatory marker; the relationship between NLR and adverse cardiovascular (CV) prognosis has been gradually emphasized in the general population. However, their association in peritoneal dialysis (PD) patients remains unclear.

methodsFrom January 1, 2010, to May 31, 2017, a total of 1652 patients were recruited. NLR was categorized in triplicates: NLR ≤ 2.74, 2.74 < NLR ≤ 3.96, and NLR > 3.96. Kaplan-Meier cumulative incidence curve and multivariable COX regression analysis were used to determine the relationship between NLR and the incidence of adverse CV outcome, while a competitive risk model was applied to assess the effects of other outcomes on adverse CV prognosis. Besides, forest plot was investigated to analyze the adverse CV prognosis in different subgroups.

resultsDuring follow-up, 213 new-onset CV events and 153 CV disease (CVD) deaths were recorded. Multivariable COX regression models showed that the highest tertile of NLR level was associated with increased risk of CV events (HR = 1.39, 95%CI = 1.01-1.93,

conclusionsNLR is an independent risk factor for adverse CV prognosis in PD patients younger than 60 years old.

Indexed as

AdultBiomarkersCardiovascular DiseasesFemaleFollow-Up StudiesHumansIncidenceInflammationKaplan-Meier EstimateKidney Failure, ChronicLeukocyte CountLymphocytesMaleMiddle AgedNeutrophilsPeritoneal DialysisBiomarkers

Identifiers

PMID32565726
PMCPMC7256716

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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.