Evidence map›Paper›PMID 31269903›Full record

ArticleBMC nephrology2019

Creating a 13-year National Longitudinal Cohort of veterans with chronic kidney disease.

Mukoso N Ozieh, Mulugeta Gebregziabher, Ralph C Ward, David J Taber, Leonard E Egede

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Chronic Kidney Disease and Military Service in US Adults, 1999-2018.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Article
  3. Article
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

5 authors at 3 institutions in 1 country.

Mukoso N OziehDivision of Nephrology, Medical College of Wisconsin, Milwaukee, WI, USA.
Mulugeta GebregziabherRalph H. Johnson Department of Veterans Affairs Medical Center, Health Equity and Rural Outreach Innovation Center, Charleston, SC, USA.
Ralph C WardRalph H. Johnson Department of Veterans Affairs Medical Center, Health Equity and Rural Outreach Innovation Center, Charleston, SC, USA.
David J TaberRalph H. Johnson Department of Veterans Affairs Medical Center, Health Equity and Rural Outreach Innovation Center, Charleston, SC, USA.
Leonard E EgedeCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, USA. legede@mcw.edu.ORCID 0000-0003-1546-1515
Medical College of Wisconsin · USMedical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
NIDDK NIH HHS K24 DK093699
6 · The paper itself

Abstract

backgroundThe development of large-scale chronic kidney disease (CKD) cohorts within the Veterans Affairs (VA) system has been limited by several factors, including the high proportion of missing race data etc. The goal of this study is to address the limitations of prior studies by creating a large cohort utilizing robust KDIGO recommendations for identifying and staging CKD.

methodsMultiple patient and administrative files from the Veterans Health Administration (VHA) National Patient Care were linked to create a national cohort of Veterans with chronic kidney disease (CKD) between January 2000 - December 2012; patients identified during this period were followed until 2015. CKD was defined for stages 1 through 5 if markers of kidney damage, specifically proteinuria, were present for at least 3 months. Estimated glomerular filtration rate (eGFR) values were calculated based on serum creatinine levels and the patient's age, gender, and race using both the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas.

resultsAbout 50 million observations were collected that supported a CKD diagnosis during the study period; these observations corresponded to 3,051,001 unique veterans; 80.9% were non-Hispanic white (NHW), 13.4% were non-Hispanic black (NHB), 3.6% were Hispanic, and 2.0% were in other groups. The mean age 76.7, about 97% were male and 50.2% died prior to January 2016. Among those with stage 3, 12.3% progressed to stage 4, 21.6% of those with stage 4 progressed to stage 5. We found that eGFR values calculated from serum creatinine levels identified about 98% of all patients, while about 11.4% of patients could be identified through ICD-9 codes; only 6.4% could be identified through both sources.

conclusionThis 13-year national cohort provides an important resource for answering numerous research questions in the future such as racial/ethnic disparities questions, tracking health service utilization, medication adherence, cost and health outcomes in veterans with CKD.

Indexed as

VeteransAgedAged, 80 and overCohort StudiesFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleRenal Insufficiency, ChronicTime FactorsUnited StatesUnited States Department of Veterans AffairsCKDKidney diseaseVeterans

Identifiers

PMID31269903
PMCPMC6610839
OpenAlexW2955042383

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.