Evidence map›Paper›PMID 34104653›Full record

ArticleBioMed research international2021

High Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio Are Associated with Poor Survival in Patients with Hemodialysis.

Jialing Zhang, Xiangxue Lu, Shixiang Wang, Han Li

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In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

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  14. Hemogram-Derived Inflammatory Markers in Cats with Chronic Kidney Disease.Animals : an open access journal from MDPI · 2024
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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

4 authors.

Jialing ZhangDepartment of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.ORCID https://orcid.org/0000-0001-8489-9815
Xiangxue LuDepartment of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.ORCID https://orcid.org/0000-0003-3528-582X
Shixiang WangDepartment of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.ORCID https://orcid.org/0000-0002-5500-4119
Han LiDepartment of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.ORCID https://orcid.org/0000-0003-2869-6911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are markers for systemic inflammation condition. Although NLR has emerged as a risk factor for poor survival in end-stage renal disease (ESRD) patients, the relationship between PLR and mortality is still unknown. We aimed to explore the interaction of NLR and PLR in predicting mortality in hemodialysis (HD) patients.

methodWe enrolled 360 HD patients for a 71-month follow-up. The endpoint was all-cause and cardiovascular (CV) mortality. Pearson correlation analysis was conducted to evaluate the relationship between factors and NLR or PLR. Kaplan-Meier curves and Cox proportional analysis were used to assess the prognostic value of NLR and PLR.

resultsNLR was positively correlated with neutrophil and negatively correlated with lymphocyte, hemoglobin, and serum albumin. PLR was positively correlated with neutrophil and platelet and negatively correlated with lymphocyte and hemoglobin. In multivariate Cox regression, a higher NLR level was independently associated with all-cause mortality (OR 2.011, 95% CI 1.082-3.74,

conclusionNLR and PLR are cheap and reliable biomarkers for all-cause and CV mortality to predict survival in HD patients.

Indexed as

AgedBiomarkers, TumorBlood PlateletsFemaleHumansInflammationKidney Failure, ChronicLymphocyte CountLymphocytesMaleMiddle AgedNeutrophilsPlatelet CountPrognosisRenal DialysisSerum AlbuminBiomarkers, TumorSerum Albumin

Identifiers

PMID34104653
PMCPMC8159629

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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.