Evidence map›Paper›PMID 27915473›Full record

ReviewInternational neurourology journal2016

Urine Proteomics in the Era of Mass Spectrometry.

Ashley Beasley-Green

Open access · diamondAbstract readReview
In one paragraph

Review in International neurourology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Pursuing Diabetic Nephropathy through Aqueous Humor Proteomics Analysis.Oxidative medicine and cellular longevity · 2022
    Article
  14. Article
  15. Article
  16. Extracellular Vesicles in Acute Kidney Injury and Clinical Applications.International journal of molecular sciences · 2021
    Review
  17. What can urinary exosomes tell us?Cellular and molecular life sciences : CMLS · 2021
    Review
  18. Article
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Ashley Beasley-GreenMaterial Measurement Laboratory, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.ORCID 0000-0002-2065-4218
Material Measurement Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the technological advances of mass spectrometry (MS)-based platforms, clinical proteomics is one of the most rapidly growing areas in biomedical research. Urine proteomics has become a popular subdiscipline of clinical proteomics because it is an ideal source for the discovery of noninvasive disease biomarkers. The urine proteome offers a comprehensive view of the local and systemic physiology since the proteome is primarily composed of proteins/peptides from the kidneys and plasma. The emergence of MS-based proteomic platforms as prominent bioanalytical tools in clinical applications has enhanced the identification of protein-based urinary biomarkers. This review highlights the characteristics of urine that make it an attractive biofluid for biomarker discovery and the impact of MS-based technologies on the clinical assessment of urinary protein biomarkers.

Indexed as

BiomarkersMass SpectrometryProteomicsUrine

Identifiers

PMID27915473
PMCPMC5169090
OpenAlexW2558197048

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.