Evidence map›Paper›PMID 29503875›Full record

ArticleWellcome open research2018

High-Speed Tracer Analysis of Metabolism (HS-TrAM).

Thomas Brendan Smith, Kamlesh Patel, Haydn Munford, Andrew Peet, Daniel A Tennant, Mark Jeeves, Christian Ludwig

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Wellcome open research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. In vivo [U-American journal of physiology. Heart and circulatory physiology · 2020
    Article
  3. Article
  4. 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

7 authors.

Thomas Brendan Smith *Institute of Metabolism and Systems Research, University of Birmingham, West Midlands, UK.
Kamlesh Patel *Institute of Metabolism and Systems Research, University of Birmingham, West Midlands, UK.
Haydn MunfordInstitute of Metabolism and Systems Research, University of Birmingham, West Midlands, UK.
Andrew PeetInstitute of Cancer and Genomic Sciences, University of Birmingham, West Midlands, UK.
Daniel A TennantInstitute of Metabolism and Systems Research, University of Birmingham, West Midlands, UK.
Mark Jeeves *Institute of Cancer and Genomic Sciences, University of Birmingham, West Midlands, UK.ORCID https://orcid.org/0000-0001-9736-0990
Christian Ludwig *Institute of Metabolism and Systems Research, University of Birmingham, West Midlands, UK.ORCID https://orcid.org/0000-0001-8901-6970

Funding

Department of Health NIHR-RP-02-12-019Wellcome Trust
6 · The paper itself

Abstract

Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) offers high resolution data, yet is under-utilised due to length of time required to collect the data, quantification requiring multiple samples and complicated analysis. Here we present two techniques, quantitative spectral filters and enhancement of the splitting due to J-coupling in

Indexed as

13C15NJ-scalingmetabolismNMRstable-isotope tracingtracer

Identifiers

PMID29503875
PMCPMC5811808

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.