Evidence map›Paper›PMID 28617483›Full record

ArticleClinical kidney journal2017

Epidemiology of chronic kidney disease: think (at least) twice!

Pierre Delanaye, Richard J Glassock, Marc E De Broe

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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  12. Review
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  16. Article
  17. Observational
  18. Review
  19. Identification of Patients with CKD in Medical Databases: A Comparison of Different Algorithms.Clinical journal of the American Society of Nephrology : CJASN · 2021
    Article
  20. Gasotransmitters: Potential Therapeutic Molecules of Fibrotic Diseases.Oxidative medicine and cellular longevity · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Pierre DelanayeDepartment of Nephrology Dialysis Transplantation, CHU Sart Tilman, University of Liège, Liège, Belgium.
Richard J GlassockDepartment of Medicine, David Geffen School of Medicine at UCLA, Laguna Niguel, CA, USA.
Marc E De BroeLaboratory of Pathophysiology, University of Antwerp, Antwerp, Belgium.
University of Antwerp · BEUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines has substantially contributed to the early detection of different stages of chronic kidney disease (CKD). Several recent studies from different parts of the world mention a CKD prevalence of between 8 and 13%. There are several reasons the CKD prevalence found in a study of a particular population is clearly overestimated. The structure of the population pyramid (young or older age) of the study sample may result in high or low CKD prevalence. The absence of using an isotope dilution mass spectrometry creatinine assay can be the source of high bias in CKD prevalence. In addition, using an arbitrary single threshold of estimated glomerular filtration rate (eGFR; <60 mL/min/1.73 m

Indexed as

chronicitychronic kidney diseaseepidemiology

Identifiers

PMID28617483
PMCPMC5466090
OpenAlexW2592371480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.