Evidence map›Paper›PMID 23752888›Full record

ReviewNature reviews. Nephrology2013

Biomarkers for incident CKD: a new framework for interpreting the literature.

Michael G Shlipak, Erica C Day

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Common variants in UMOD associate with urinary uromodulin levels: a meta-analysis.Journal of the American Society of Nephrology : JASN · 2014
    Pooled it
  2. Identification of incident CKD stage 3 in research studies.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2014
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Urinary excretion of epidermal growth factor and rapid loss of kidney function.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  11. Article
  12. Article
  13. Fibroblast growth factor 23 and new-onset chronic kidney disease in the general population: the Prevention of Renal and Vascular Endstage Disease (PREVEND) study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Blood HER2 and Uromodulin as Causal Mediators of CKD.Journal of the American Society of Nephrology : JASN · 2018
    Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Michael G ShlipakSan Francisco Veterans Administration Medical Center, 4150 Clement Street, 111A1, San Francisco, CA 94121, USA. michael.shlipak@ucsf.edu
Erica C Day
San Francisco VA Medical Center · US

Funding

The Aging Kidney in HIV-Infection: biomarkers for early detection of injuryR01AG034853 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ESTRELLA, MICHELLE M, SHLIPAK, MICHAEL G · 2010 to 2025
$9.6M
The Aging Kidney: Chronic Injury, Impaired Functions and Clinical OutcomesR01AG027002 · NIA · TUFTS MEDICAL CENTER · PI PARIKH, SAMIR M, SARNAK, MARK J · 2005 to 2022
$7.3M
Effects of Age and Race on GFR Estimation in a Population-based CohortR01DK087961 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S, SHLIPAK, MICHAEL G · 2011 to 2015
$1.2M
NIA NIH HHS 5R01AG027002-07NIA NIH HHS 5R01AG034853-04NIDDK NIH HHS 5R01DK087961-02
6 · The paper itself

Abstract

Biomarkers are a useful tool for the investigation of chronic kidney disease (CKD), although the design, analytical tools and outcomes used in many biomarker studies are suboptimal. In part, this situation might reflect a lack of appreciation of the nature of different biomarkers. A particular biomarker could, for example, be implicated in the pathogenesis of CKD because it is a physiological risk factor for declining kidney function, an indicator of impaired kidney function, or a marker of ongoing injury within the kidney. Such risk factors enable us to understand the process of disease and to identify treatment targets. By contrast, risk markers enable us to distinguish persons who will or will not develop CKD, even though the markers themselves are not required to be modifiable by (or directly involved in) the disease process. Accurate prediction of CKD risk will probably require a combination of biomarkers of several types, however. This Review offers a conceptual framework for interpreting the results of studies evaluating biomarkers of declining kidney function and incident CKD.

Indexed as

Acute-Phase ProteinsAldosteroneBiomarkersConnective Tissue Growth FactorCreatinineCystatin CGenetic MarkersGenetic Predisposition to DiseaseGlomerular Filtration RateHepatitis A Virus Cellular Receptor 1HomocysteineHumansLipocalin-2LipocalinsMembrane GlycoproteinsPeptidesAcute-Phase ProteinsAldosteroneBiomarkersConnective Tissue Growth FactorCreatinineCystatin CGenetic MarkersHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1HomocysteineLCN2 protein, humanLipocalin-2LipocalinsMembrane GlycoproteinsPeptidesProto-Oncogene ProteinsReceptors, VirusTFF3 protein, humanTransforming Growth Factor betaTrefoil Factor-3UMOD protein, humanUromodulin

Identifiers

PMID23752888
OpenAlexW2168822198

What OpenQuestion holds

Textmetadata
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.