Evidence map›Paper›PMID 29130991›Full record

ArticleAmerican journal of nephrology2017

Pre-End-Stage Renal Disease Hemoglobin Variability Predicts Post-End-Stage Renal Disease Mortality in Patients Transitioning to Dialysis.

Keiichi Sumida, Charles Dyer Diskin, Miklos Z Molnar, Praveen K Potukuchi, Fridtjof Thomas, Jun Ling Lu, Connie M Rhee, Elani Streja, Kunihiro Yamagata, Kamyar Kalantar-Zadeh and 1 more

Abstract read
In one paragraph

Article in American journal of nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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

11 authors.

Keiichi SumidaDivision of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Charles Dyer DiskinDivision of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Miklos Z MolnarDivision of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Praveen K PotukuchiDivision of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Fridtjof ThomasDivision of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Jun Ling LuDivision of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Connie M RheeHarold Simmons Center for Chronic Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California-Irvine, Orange, California, USA.
Elani StrejaHarold Simmons Center for Chronic Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California-Irvine, Orange, California, USA.
Kunihiro YamagataDepartment of Nephrology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Kamyar Kalantar-ZadehHarold Simmons Center for Chronic Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California-Irvine, Orange, California, USA.
Csaba P KovesdyDivision of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.

Funding

Transition of Care in CKD (TC-CKD)U01DK102163 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI JACOBSEN, STEVEN J, KALANTAR-ZADEH, KAMYAR · 2014 to 2018
$2.8M
Improving Analysis of Endogenous Multimodal Treatments for Use in Geriatrics Health Outcomes StudiesI01HX002237 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M · 2018 to 2021
–
HSRD VA SDR 02-237NIDDK NIH HHS U01 DK102163
6 · The paper itself

Abstract

backgroundHemoglobin variability (Hb-var) has been associated with increased mortality both in non-dialysis dependent chronic kidney disease (NDD-CKD) and end-stage renal disease (ESRD) patients. However, the impact of Hb-var in advanced NDD-CKD on outcomes after dialysis initiation remains unknown.

methodsAmong 11,872 US veterans with advanced NDD-CKD transitioning to dialysis between October 2007 through September 2011, we assessed Hb-var calculated from the residual SD of at least 3 Hb values during the last 6 months before dialysis initiation (prelude period) using within-subject linear regression models, and stratified into quartiles. Outcomes included post-transition all-cause, cardiovascular, and infection-related mortality, assessed in Cox proportional hazards models and adjusted for demographics, comorbidities, length of hospitalization, medications, estimated glomerular filtration rate (eGFR), type of vascular access, Hb parameters (baseline Hb [i.e., intercept] and change in Hb [i.e., slope]), and number of Hb measurements.

resultsHigher prelude Hb-var was associated with use of iron and antiplatelet agents, tunneled dialysis catheter use, higher levels of baseline Hb, change in Hb, eGFR, and serum ferritin. After multivariable adjustment, higher prelude Hb-var was associated with higher post-ESRD all-cause and infection-related mortality, but not cardiovascular mortality (adjusted hazard ratios [95% CI] for the highest [vs. lowest] quartile of Hb-var, 1.10 [1.02-1.19], 1.28 [0.93-1.75], and 0.93 [0.79-1.10], respectively).

conclusionsHigh pre-ESRD Hb-var is associated with higher mortality, particularly from infectious causes rather than cardiovascular causes. Further research is required to clarify the underlying mechanisms and true causal nature of the observed association.

Indexed as

Biological Variation, IndividualRenal DialysisAgedDisease ProgressionFemaleGlomerular Filtration RateHemoglobinsHumansKidney Failure, ChronicMaleMiddle AgedProportional Hazards ModelsVeteransHemoglobinsChronic kidney diseaseEnd-stage renal diseaseHemoglobinMortalityTransitionVariability

Identifiers

PMID29130991
PMCPMC5707124

What OpenQuestion holds

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Registered trials

None linked

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.