Evidence map›Paper›PMID 26965202›Full record

ReviewNature reviews. Drug discovery2016

Emerging applications of metabolomics in drug discovery and precision medicine.

David S Wishart

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 707 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
707citing papers in PubMed, 6 pooled it
67.9field-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

707 citing papers in PubMed, 6 syntheses or guidelines pooled it, 1,441 citations in OpenAlex.

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647 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

1 author at 1 institution in 1 country.

David S WishartDepartment of Biological Sciences, CW 405, Biological Sciences Building, University of Alberta, Edmonton, Alberta, Canada T6G 2E9.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is an emerging 'omics' science involving the comprehensive characterization of metabolites and metabolism in biological systems. Recent advances in metabolomics technologies are leading to a growing number of mainstream biomedical applications. In particular, metabolomics is increasingly being used to diagnose disease, understand disease mechanisms, identify novel drug targets, customize drug treatments and monitor therapeutic outcomes. This Review discusses some of the latest technological advances in metabolomics, focusing on the application of metabolomics towards uncovering the underlying causes of complex diseases (such as atherosclerosis, cancer and diabetes), the growing role of metabolomics in drug discovery and its potential effect on precision medicine.

Indexed as

Precision MedicineAnimalsAtherosclerosisBiomarkersClinical Trials as TopicDiabetes MellitusDrug DiscoveryDrug Evaluation, PreclinicalHumansMetabolomicsNeoplasmsBiomarkers

Identifiers

PMID26965202
OpenAlexW2295182096

What OpenQuestion holds

Textmetadata
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.