Evidence map›Paper›PMID 26786297›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2016

Red Cell Distribution Width and Mortality in Hemodialysis Patients.

Tania Vashistha, Elani Streja, Miklos Z Molnar, Connie M Rhee, Hamid Moradi, Melissa Soohoo, Csaba P Kovesdy, Kamyar Kalantar-Zadeh

Abstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 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

49 citing papers in PubMed, 2 syntheses or guidelines 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

8 authors.

Tania VashisthaHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, CA.
Elani StrejaHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, CA.
Miklos Z MolnarDivision of Nephrology, University of Tennessee Health Science Center, Memphis, TN.
Connie M RheeHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, CA.
Hamid MoradiHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, CA.
Melissa SoohooHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, CA.
Csaba P KovesdyDivision of Nephrology, University of Tennessee Health Science Center, Memphis, TN; Nephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN.
Kamyar Kalantar-ZadehHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, CA. Electronic address: kkz@uci.edu.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
Examining Racial and Cardiovascular Paradoxes in Chronic Kidney DiseaseR01DK078106 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KALANTAR-ZADEH, KAMYAR · 2007 to 2011
$1.1M
Racial and Cardiovascular Risk Factor Anomalies in CKDR01DK096920 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI KALANTAR-ZADEH, KAMYAR, KOVESDY, CSABA PAL · 2013 to 2015
$909k
NCATS NIH HHS UL1 TR001414NIDDK NIH HHS K24 DK091419NIDDK NIH HHS R01 DK078106NIDDK NIH HHS R01 DK096920
6 · The paper itself

Abstract

backgroundRed cell distribution width (RDW) is an index of red blood cell volume variability that has historically been used as a marker of iron deficiency anemia. More recently, studies have shown that elevated RDW is associated with higher mortality risk in the general population. However, there is lack of data demonstrating the association between RDW and mortality risk in hemodialysis (HD) patients. We hypothesized that higher RDW is associated with higher mortality in HD patients. STUDY

designRetrospective observational study using a large HD patient cohort. SETTING &

participants109,675 adult maintenance HD patients treated in a large dialysis organization from January 1, 2007, to December 31, 2011. PREDICTOR: Baseline and time-varying RDW, grouped into 5 categories: <14.5%, 14.5% to <15.5%, 15.5% to <16.5%, 16.5% to <17.5%, and ≥17.5%. RDW of 15.5% to <16.5% was used as the reference category. OUTCOME: All-cause mortality.

resultsMean age of study participants was 63±15 (SD) years and the study cohort was 44% women. In baseline and time-varying analyses, there was a graded association between higher RDW and incrementally higher mortality risk. Receiver operating characteristic, net reclassification analysis, and integrated discrimination improvement analyses demonstrated that RDW is a stronger predictor of mortality as compared with traditional markers of anemia, such as hemoglobin, ferritin, and iron saturation values. LIMITATIONS: Lack of comprehensive data that may be associated with both RDW and HD patient outcomes, such as blood transfusion data, socioeconomic status, and other unknown confounders; therefore, the possibility of residual confounding could not be excluded. Also, lack of information for cause of death; thus, cardiovascular mortality outcomes could not be examined.

conclusionsIn HD patients, higher RDW is associated with incrementally higher mortality risk. RDW is also a stronger predictor of mortality than traditional laboratory markers of anemia. Further studies are needed to determine the mechanisms underlying the association between RDW and mortality.

Indexed as

Erythrocyte IndicesFemaleHumansKidney Failure, ChronicMaleMiddle AgedRenal DialysisRetrospective Studiesend-stage renal disease (ESRD)hemodialysis (HD)mortalityred blood cell heterogeneityRed cell distribution width (RDW)renal function

Identifiers

PMID26786297
PMCPMC4921311

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.