Evidence map›Paper›PMID 21586496›Full record

ReviewBiological research for nursing2011

Searching for the noninvasive biomarker holy grail: are urine proteomics the answer?

Joachim Voss, Young Ah Goo, Kevin Cain, Nancy Woods, Monica Jarrett, Lynne Smith, Robert Shulman, Margaret Heitkemper

Abstract readReview
In one paragraph

Review in Biological research for nursing, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Diagnosis of Irritable Bowel Syndrome: Role of Potential Biomarkers.Gastroenterology research and practice · 2015
    Review
  4. Article
  5. Article
  6. 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

8 authors.

Joachim VossDepartment of Biobehavioral Nursing and Health Systems, University of Washington, Seattle, WA, USA.
Young Ah Goo
Kevin Cain
Nancy Woods
Monica Jarrett
Lynne Smith
Robert Shulman
Margaret Heitkemper

Funding

NURSING MANAGEMENT OF IBS--IMPROVING OUTCOMESR01NR004142 · NINR · UNIVERSITY OF WASHINGTON · PI HEITKEMPER, MARGARET MCLEAN · 1996 to 2011
$5.5M
Abdominal Symptom Phenotypes: Pathways to New BiomarkersRC2NR011959 · NINR · UNIVERSITY OF WASHINGTON · PI HEITKEMPER, MARGARET MCLEAN, SHULMAN, ROBERT J · 2009 to 2010
$1.9M
NINR NIH HHS NR004142NINR NIH HHS NR011959NINR NIH HHS RC2 NR011959
6 · The paper itself

Abstract

Recently, biobehavioral nursing scientists have focused their attention on the search for biomarkers or biological signatures to identify patients at risk for various health problems and poor disease outcomes. In response to the national impetus for biomarker discovery, the measurement of biological fluids and tissues has become increasingly sophisticated. Urine proteomics, in particular, may hold great promise for biobehavioral focused nursing scientists for examination of symptom-and syndrome-related research questions. Urine proteins are easily accessible secreted proteins that provide direct and indirect windows into bodily functions. Advances in proteomics and biomarker discovery provide new opportunities to conduct research studies with banked and fresh urine to benefit diagnosis, prognosis, and evaluation of outcomes in various disease populations. This article provides a review of proteomics and a rationale for utilizing urine proteomics in biobehavioral research. It addresses as well some of the challenges involved in data collection and sample preparation.

Indexed as

BiomarkersClinical Nursing ResearchHumansIrritable Bowel SyndromeMass SpectrometryProteomicsBiomarkers

Identifiers

PMID21586496
PMCPMC3569484

What OpenQuestion holds

Textmetadata
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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.