Evidence map›Paper›PMID 30078411›Full record

ArticleMayo Clinic proceedings2018

Predialysis Kidney Function and Its Rate of Decline Predict Mortality and Hospitalizations After Starting Dialysis.

Melissa Soohoo, Elani Streja, Yoshitsugu Obi, Connie M Rhee, Daniel L Gillen, Keiichi Sumida, Danh V Nguyen, Csaba P Kovesdy, Kamyar Kalantar-Zadeh

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 11 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

9 authors at 5 institutions in 1 country.

Melissa SoohooHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA.
Elani StrejaHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA; Nephrology Section, Tibor Rubin Veterans Affairs Medical Center, Long Beach, CA.
Yoshitsugu ObiHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA.
Connie M RheeHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA; Nephrology Section, Tibor Rubin Veterans Affairs Medical Center, Long Beach, CA.
Daniel L GillenHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA; Department of Medicine, University of California, Irvine, Irvine.
Keiichi SumidaNephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN; Division of Nephrology, University of Tennessee Health Science Center, Memphis.
Danh V NguyenDepartment of Medicine, University of California, Irvine, Irvine.
Csaba P KovesdyNephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN; Division of Nephrology, University of Tennessee Health Science Center, Memphis.
Kamyar Kalantar-ZadehHarold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA; Nephrology Section, Tibor Rubin Veterans Affairs Medical Center, Long Beach, CA. Electronic address: kkz@uci.edu.
University of California, Irvine Medical Center · USMemphis VA Medical Center · USTibor Rubin VA Medical Center · USUniversity of California, Irvine · USUniversity of Tennessee Health Science Center · US

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
MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
Hypothyroidism, Cardiovascular Health, and Survival in Kidney DiseaseK23DK102903 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI RHEE, CONNIE MEEYOUNG · 2014 to 2018
$955k
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
NIDDK NIH HHS K23 DK102903NIDDK NIH HHS K24 DK091419NIDDK NIH HHS R01 DK096920NIDDK NIH HHS U01 DK102163
6 · The paper itself

Abstract

objectiveTo determine whether kidney function level and its rate of decline in the immediate predialysis period among veterans transitioning to end-stage renal disease (ESRD) predict postdialysis mortality and hospitalization. PATIENTS AND

methodsIn 19,985 veterans transitioning to ESRD during the period October 1, 2007, to March 30, 2014, we examined kidney function and its slope over the final year of the pre-ESRD(prelude) period. Two categories of low vs high estimated glomerular filtration rate (eGFR, dichotomized at 10 mL/min/1.73 m

resultsPatients, 66±11 years old, and 34% blacks, had a median (interquartile range) eGFR at transition and slope of 9.7 (7.1-13.3) mL/min/1.73 m

conclusionA kidney profile of a low eGFR and slow slope in the prelude period is associated with favorable early dialysis outcomes in veteran patients. Trials to examine a more conservative approach to dialysis are warranted.

Indexed as

Glomerular Filtration RateRenal DialysisAgedCardiovascular DiseasesDatabases, FactualDisease ProgressionFemaleHospitalizationHumansKidney Failure, ChronicMaleRetrospective StudiesUnited StatesVeterans

Identifiers

PMID30078411
PMCPMC6116733
OpenAlexW2809973915

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.