Evidence map›Paper›PMID 32316363›Full record

ArticleMetabolites2020

Benchtop Low-Frequency 60 MHz NMR Analysis of Urine: A Comparative Metabolomics Investigation.

Justine Leenders, Martin Grootveld, Benita Percival, Miles Gibson, Federico Casanova, Philippe B Wilson

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  16. Identification of Time-Invariant Biomarkers for Non-Genotoxic Hepatocarcinogen Assessment.International journal of environmental research and public health · 2020
    Article
  17. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    Review
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 2 institutions in 2 countries.

Justine LeendersLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE8 9BH, UK.
Martin GrootveldLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE8 9BH, UK.ORCID 0000-0003-1502-3734
Benita PercivalLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE8 9BH, UK.ORCID 0000-0002-8769-8979
Miles GibsonLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE8 9BH, UK.
Federico CasanovaMagritek Gmbh, Philipsstraße 8, 52068 Aachen, Germany.
Philippe B WilsonLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE8 9BH, UK.
De Montfort University · GBPhilips (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics techniques are now applied in numerous fields, with the ability to provide information concerning a large number of metabolites from a single sample in a short timeframe. Although high-frequency (HF) nuclear magnetic resonance (NMR) analysis represents a common method of choice to perform such studies, few investigations employing low-frequency (LF) NMR spectrometers have yet been published. Herein, we apply and contrast LF and HF

Indexed as

1H-1H COSYbenchtop spectrometerslow-frequency NMRmetabolomicstype 2 diabetes

Identifiers

PMID32316363
PMCPMC7240954
OpenAlexW3016545852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.