Evidence map›Paper›PMID 27636773›Full record

ReviewCurrent opinion in nephrology and hypertension2016

Biomarkers for predicting outcomes in chronic kidney disease.

Lekha Tummalapalli, Girish N Nadkarni, Steven G Coca

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in nephrology and hypertension, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  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

3 authors at 1 institution in 1 country.

Lekha TummalapalliIcahn School of Medicine at Mount Sinai, New York City, New York, USA.
Girish N Nadkarni
Steven G Coca
Icahn School of Medicine at Mount Sinai · US

Funding

Novel serum and urinary biomarkers of diabetic kidney diseaseR01DK096549 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G · 2012 to 2016
$2.9M
Leveraging Clinical Trials of Diabetic Kidney Disease to Advance BiomarkersU01DK106962 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G, PARIKH, CHIRAG R · 2015 to 2019
$1.3M
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and BiomarkersK23DK107908 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2016 to 2020
$930k
NIDDK NIH HHS K23 DK107908NIDDK NIH HHS R01 DK096549NIDDK NIH HHS U01 DK106962
6 · The paper itself

Abstract

purpose of reviewCurrent biomarkers for chronic kidney disease (CKD) are limited by lack of sensitivity and inability to prognosticate CKD progression. Significant recent research has better characterized novel biomarker candidates that are associated with CKD progression and cardiovascular mortality in CKD. This review discusses the most significant advances within the past year. RECENT

findingsWe discuss biomarkers for outcomes in CKD under two categories: emerging (defined as having been validated in an independent cohort), which include serum cystatin C, serum β-trace protein, β2-microglobulin, soluble urokinase-type plasminogen activator receptor, soluble tumor necrosis factor receptors 1/2, urinary monocyte chemotactic protein-1, neutrophil gelatin-associated lipocalin, kidney injury molecule-1, and fibroblast growth factor-23; and novel (which have shown associations in smaller observational studies but have not been validated yet), which include indoxyl sulfate, p-cresyl sulfate, trimethylamine-N-oxide, IL-18, Klotho, markers of endothelial dysfunction, vimentin, and procollagen type III N-terminal propeptide. Further, we also discuss future directions for biomarker research including unbiased -omics approaches. SUMMARY: There are a number of promising biomarkers that can better prognosticate outcomes in and progression of CKD. Further research is warranted to examine whether these biomarkers validate independently as well, and if their incorporation improves clinical practice or trial enrollment.

Indexed as

BiomarkersDisease ProgressionHumansPrognosisRenal Insufficiency, ChronicBiomarkers

Identifiers

PMID27636773
PMCPMC8369653
OpenAlexW2520050743

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.