Evidence map›Paper›PMID 30367154›Full record

ArticleScientific reports2018

Surveillance of CKD epidemiology in the US - a joint analysis of NHANES and KEEP.

O B Myers, V S Pankratz, K C Norris, J A Vassalotti, M L Unruh, C Argyropoulos

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Renal Impairment in Myeloproliferative Neoplasms: An Under-reported Complication.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Incorporating Tryptase Genotyping Into the Workup and Diagnosis of Mast Cell Diseases and Reactions.The journal of allergy and clinical immunology. In practice · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Can Community-Based Albuminuria Testing Improve Care?Kidney international reports · 2020
    Article
  18. Article
  19. 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

6 authors.

O B MyersInternal Medicine, University of New Mexico, Albuquerque, NM, 87131, Mexico.
V S PankratzInternal Medicine, University of New Mexico, Albuquerque, NM, 87131, Mexico.
K C NorrisDavid Geffen School of Medicine, UCLA, Los Angeles, CA, 90024, USA.
J A VassalottiNational Kidney Foundation Inc., New York, New York, USA.
M L UnruhInternal Medicine, University of New Mexico, Albuquerque, NM, 87131, Mexico.
C ArgyropoulosInternal Medicine, University of New Mexico, Albuquerque, NM, 87131, Mexico. cargyropoulos@salud.unm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Kidney Disease (CKD), is highly prevalent in the United States. Epidemiological systems for surveillance of CKD rely on data that are based solely on the NHANES survey, which does not include many patients with the most severe and less frequent forms of CKD. We investigated the feasibility of estimating CKD prevalence from the large-scale community disease detection Kidney Early Evaluation and Program (KEEP, n = 127,149). We adopted methodologies from the field of web surveys to address the self-selection bias inherent in KEEP. Primary outcomes studied were CKD Stage 3-5 (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m

Indexed as

Nutrition SurveysAdultAgedAlbuminuriaFemaleGlomerular Filtration RateHumansMaleMiddle AgedPrevalenceRenal Insufficiency, ChronicSeverity of Illness IndexUnited StatesYoung Adult

Identifiers

PMID30367154
PMCPMC6203800

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.