Evidence map›Paper›PMID 18785810›Full record

ReviewExpert review of molecular diagnostics2008

Metabolomics-based methods for early disease diagnostics.

G A Nagana Gowda, Shucha Zhang, Haiwei Gu, Vincent Asiago, Narasimhamurthy Shanaiah, Daniel Raftery

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 309 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
309citing papers in PubMed, 4 pooled it
10.5field-weighted citation impact, top 1% 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

309 citing papers in PubMed, 4 syntheses or guidelines pooled it, 687 citations in OpenAlex.

  1. Pooled it
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  3. Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022
    Pooled it
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249 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

G A Nagana GowdaDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, USA. ngowda@purdue.edu
Shucha Zhang
Haiwei Gu
Vincent Asiago
Narasimhamurthy Shanaiah
Daniel Raftery
Purdue University West Lafayette · US

Funding

TOOLS FOR DIFFERENTIAL METABOLOMICS(RMI)R33DK070290 · NIDDK · PURDUE UNIVERSITY WEST LAFAYETTE · PI REGNIER, FRED E · 2005 to 2006
$2.9M
TOOLS FOR DIFFERENTIAL METABOLOMICS (RMI)R21DK070290 · NIDDK · PURDUE UNIVERSITY WEST LAFAYETTE · PI REGNIER, FRED E · 2004 to 2005
$1.0M
NIDDK NIH HHS 3R21/R33 DK070290-01NIDDK NIH HHS R33 DK070290
6 · The paper itself

Abstract

The emerging field of metabolomics, in which a large number of small-molecule metabolites from body fluids or tissues are detected quantitatively in a single step, promises immense potential for early diagnosis, therapy monitoring and for understanding the pathogenesis of many diseases. Metabolomics methods are mostly focused on the information-rich analytical techniques of NMR spectroscopy and mass spectrometry (MS). Analysis of the data from these high-resolution methods using advanced chemometric approaches provides a powerful platform for translational and clinical research and diagnostic applications. In this review, the current trends and recent advances in NMR- and MS-based metabolomics are described with a focus on the development of advanced NMR and MS methods, improved multivariate statistical data analysis and recent applications in the area of cancer, diabetes, inborn errors of metabolism and cardiovascular diseases.

Indexed as

AnimalsDiseaseHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsMolecular Diagnostic TechniquesTime Factors

Identifiers

PMID18785810
PMCPMC3890417
OpenAlexW2100463095

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.