Evidence map›Paper›PMID 32049326›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2020

Eosinophil count and mortality risk in incident hemodialysis patients.

Duk-Hee Kang, Yuji Lee, Carola Ellen Kleine, Yong Kyu Lee, Christina Park, Jui-Ting Hsiung, Connie M Rhee, Csaba P Kovesdy, Kamyar Kalantar-Zadeh, Elani Streja

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2020. 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
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 17 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

10 authors at 2 institutions in 2 countries.

Duk-Hee KangHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Yuji LeeHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Carola Ellen KleineHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Yong Kyu LeeHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Christina ParkHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Jui-Ting HsiungHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Connie M RheeHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Csaba P KovesdyNephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN, USA.
Kamyar Kalantar-ZadehHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
Elani StrejaHarold Simmons Center for Kidney Disease Research and Epidemiology, School of Medicine, University of California Irvine, Orange, CA, USA.
University of California, Irvine · USUniversity of Tennessee Health Science Center · US

Funding

MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
NIDDK NIH HHS K24 DK091419
6 · The paper itself

Abstract

backgroundEosinophils are traditionally known as moderators of allergic reactions; however, they have now emerged as one of the principal immune-regulating cells as well as predictors of vascular disease and mortality in the general population. Although eosinophilia has been demonstrated in hemodialysis (HD) patients, associations of eosinophil count (EOC) and its changes with mortality in HD patients are still unknown.

methodsIn 107 506 incident HD patients treated by a large dialysis organization during 2007-11, we examined the relationships of baseline and time-varying EOC and its changes (ΔEOC) over the first 3 months with all-cause mortality using Cox proportional hazards models with three levels of hierarchical adjustment.

resultsBaseline median EOC was 231 (interquartile range 155-339) cells/μL and eosinophilia (>350 cells/μL) was observed in 23.4% of patients. There was a gradual increase in EOC over time after HD initiation with a median ΔEOC of 5.1 (IQR -53-199) cells/μL, which did not parallel the changes in white blood cell count. In fully adjusted models, mortality risk was highest in subjects with lower baseline and time-varying EOC (<100 cells/μL) and was also slightly higher in patients with higher levels (≥550 cells/μL), resulting in a reverse J-shaped relationship. The relationship of ΔEOC with all-cause mortality risk was also a reverse J-shape where both an increase and decrease exhibited a higher mortality risk.

conclusionsBoth lower and higher EOCs and changes in EOC over the first 3 months after HD initiation were associated with higher all-cause mortality in incident HD patients.

Indexed as

AgedEosinophiliaEosinophilsFemaleHumansIncidenceKidney Failure, ChronicLongitudinal StudiesMaleMiddle AgedPrognosisRenal DialysisSurvival RateUnited Stateseosinophilhemodialysismortality

Identifiers

PMID32049326
PMCPMC7282827
OpenAlexW3006394194

What OpenQuestion holds

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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.