Evidence map›Paper›PMID 28579794›Full record

ReviewMagnetic resonance insights2017

Diagnostic Applications of Nuclear Magnetic Resonance-Based Urinary Metabolomics.

Ana Capati, Omkar B Ijare, Tedros Bezabeh

Abstract readReview
In one paragraph

Review in Magnetic resonance insights, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Multinuclear MRI in Drug Discovery.Molecules (Basel, Switzerland) · 2022
    Review
  2. Article
  3. Clinical Chemistry for Developing Countries: Mass Spectrometry.Annual review of analytical chemistry (Palo Alto, Calif.) · 2021
    Review
  4. Review
  5. The Current Status of Enteric Fever Diagnostics and Implications for Disease Control.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  6. NMR-based plasma metabolic profiling in patients with unstable angina.Iranian journal of basic medical sciences · 2020
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Ana CapatiCollege of Natural and Applied Sciences, University of Guam, Mangilao, GU, USA.
Omkar B IjareDepartment of Chemistry, The University of Winnipeg, Winnipeg, MB, Canada.
Tedros BezabehCollege of Natural and Applied Sciences, University of Guam, Mangilao, GU, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is a rapidly growing field with potential applications in various disciplines. In particular, metabolomics has received special attention in the discovery of biomarkers and diagnostics. This is largely due to the fact that metabolomics provides critical information related to the downstream products of many cellular and metabolic processes which could provide a snapshot of the health/disease status of a particular tissue or organ. Many of these cellular products eventually find their way to urine; hence, analysis of urine via metabolomics has the potential to yield useful diagnostic and prognostic information. Although there are a number of analytical platforms that can be used for this purpose, this review article will focus on nuclear magnetic resonance-based metabolomics. Furthermore, although there have been many studies addressing different diseases and metabolic disorders, the focus of this review article will be in the following specific applications: urinary tract infection, kidney transplant rejection, diabetes, some types of cancer, and inborn errors of metabolism. A number of methodological considerations that need to be taken into account for the development of a clinically useful optimal test are discussed briefly.

Indexed as

DiagnosismetabolomicsNMR spectroscopyurine

Identifiers

PMID28579794
PMCPMC5428226

What OpenQuestion holds

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LicenceCC BY-NC
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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.