Evidence map›Paper›PMID 24726628›Full record

Trial reportAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2014

Identification of incident CKD stage 3 in research studies.

Morgan E Grams, Casey M Rebholz, Blaithin McMahon, Seamus Whelton, Shoshana H Ballew, Elizabeth Selvin, Lisa Wruck, Josef Coresh

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

59 citing papers in PubMed, 68 citations in OpenAlex.

  1. Fibroblast growth factor 23 and incident CKD in type 2 diabetes.Clinical journal of the American Society of Nephrology : CJASN · 2015
    Trial
  2. Plasma Proteomic Profile of Dietary Potassium and Incident CKD.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  3. Article
  4. Article
  5. Serum Metabolomic Markers of Dietary Potassium and Risk of CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  6. Novel Dietary Inflammatory Score and Risk of Incident CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Association of Left Atrial Function With Incident Chronic Kidney Disease in Older Adults.Mayo Clinic proceedings. Innovations, quality & outcomes · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Association Between Ultraprocessed Food Consumption and Risk of Incident CKD: A Prospective Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Article
  17. Article
  18. Article
  19. Metabolomics of Dietary Acid Load and Incident Chronic Kidney Disease.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2022
    Article
  20. Epidemiology of chronic kidney disease: an update 2022.Kidney international supplements · 2022 · on this map
    Review
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 at 2 institutions in 1 country.

Morgan E GramsDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD. Electronic address: mgrams2@jhmi.edu.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Blaithin McMahonDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Seamus WheltonDivision of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Shoshana H BallewDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Lisa WruckDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Johns Hopkins University · USUniversity of North Carolina at Chapel Hill · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Longitudinal Study of Predictors and Consequences of Chronic Kidney DiseaseR01DK076770 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2007 to 2011
$3.6M
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
NCATS NIH HHS UL1 TR001079NHLBI NIH HHS T32 HL007024NIDDK NIH HHS K08 DK092287NIDDK NIH HHS K08DK092287NIDDK NIH HHS R01 DK076770
6 · The paper itself

Abstract

backgroundIn epidemiologic research, incident chronic kidney disease (CKD) commonly is determined by laboratory tests performed at planned study visits. Given the morbidity and mortality associated with CKD, persons with incident disease may be less likely to attend scheduled visits, affecting observed associations. The objective of this study was to quantify loss to follow-up by CKD status and determine whether supplementation with diagnostic code data improves capture of incident CKD. STUDY

designProspective cohort study. SETTING &

participants11,560 participants in the Atherosclerosis Risk in Communities (ARIC) Study underwent continuous surveillance for hospitalizations and death from baseline visit (1996-1999) to follow-up visit (2011-2013). A subset of hospitalizations in Washington County, MD, was used in diagnostic code validation (n=2,540). PREDICTOR: Baseline demographics and comorbid conditions. OUTCOMES: Incident CKD stage 3 ascertained by follow-up visit (visit-based definition) or hospitalization surveillance (hospitalization-based definition). MEASUREMENTS: Visit-based definition: ≥25% decline from baseline estimated glomerular filtration rate to <60 mL/min/1.73 m2 at follow-up visit; hospitalization-based definition: hospitalization CKD diagnostic code.

resultsOf 11,560 participants, 5,951 attended the follow-up visit and 9,264 were hospitalized. Never-hospitalized participants were younger, more often female, and had fewer comorbid conditions; 73.5% attended the follow-up visit. Incident CKD stage 3 occurred in 1,172 participants by the visit-based definition (251 were never hospitalized) and 1,078 participants by the hospitalization-based definition (237 attended the follow-up study visit). Sensitivity of the hospitalization-based CKD definition was 35.5% (95% CI, 31.6%-39.7%); specificity was 95.7% (95% CI, 94.2%-96.8%). Sensitivity was higher with later time period, older participant age, and baseline prevalent diabetes and CKD. LIMITATIONS: A subset of hospitalizations was used for validation; 15-year gap between study visits.

conclusionsThe sensitivity of diagnostic code-identified CKD is low and varies by certain factors; however, supplementing a visit-based definition with hospitalization information can increase disease identification during periods of follow-up without study visits.

Indexed as

Incidental FindingsPopulation SurveillanceAgedCohort StudiesFemaleFollow-Up StudiesGlomerular Filtration RateHospitalizationHumansMaleMiddle AgedProspective StudiesRenal Insufficiency, Chronicadministrative dataChronic kidney disease (CKD)CKD surveillancediagnostic codesidentificationincidentloss to follow-upscreeningvalidation

Identifiers

PMID24726628
PMCPMC4112019
OpenAlexW1975045615

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.