Evidence map›Paper›PMID 36422272›Full record

ArticleMetabolites2022

Harmonization of Rapid Evaporative Ionization Mass Spectrometry Workflows across Four Sites and Testing Using Reference Material and Local Food-Grade Meats.

Martin Kaufmann, Pierre-Maxence Vaysse, Adele Savage, Ala Amgheib, András Marton, Eftychios Manoli, Gabor Fichtinger, Steven D Pringle, John F Rudan, Ron M A Heeren and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

13 authors.

Martin KaufmannDepartment of Surgery, Queen's University, Kingston, ON K7L 2V7, Canada.
Pierre-Maxence VaysseMaastricht MultiModal Molecular Imaging (M4i) Institute, Division of Imaging Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands.
Adele SavageDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK.
Ala AmgheibDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK.
András MartonWaters Research Center, 1031 Budapest, Hungary.
Eftychios ManoliDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK.
Gabor FichtingerSchool of Computing, Queen's University, Kingston, ON K7L 2N8, Canada.ORCID 0000-0002-6354-262X
Steven D PringleWaters Corporation, Wilmslow SK9 4AX, UK.
John F RudanDepartment of Surgery, Queen's University, Kingston, ON K7L 2V7, Canada.
Ron M A HeerenMaastricht MultiModal Molecular Imaging (M4i) Institute, Division of Imaging Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands.
Zoltán TakátsDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK.
Júlia BalogDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK.ORCID 0000-0003-4914-8797
Tiffany Porta SiegelMaastricht MultiModal Molecular Imaging (M4i) Institute, Division of Imaging Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands.

Funding

Cancer Research UK 22282
6 · The paper itself

Abstract

Rapid evaporative ionization mass spectrometry (REIMS) is a direct tissue metabolic profiling technique used to accurately classify tissues using pre-built mass spectral databases. The reproducibility of the analytical equipment, methodology and tissue classification algorithms has yet to be evaluated over multiple sites, which is an essential step for developing this technique for future clinical applications. In this study, we harmonized REIMS methodology using single-source reference material across four sites with identical equipment: Imperial College London (UK); Waters Research Centre (Hungary); Maastricht University (The Netherlands); and Queen's University (Canada). We observed that method harmonization resulted in reduced spectral variability across sites. Each site then analyzed four different types of locally-sourced food-grade animal tissue. Tissue recognition models were created at each site using multivariate statistical analysis based on the different metabolic profiles observed in the

Indexed as

ambient ionization mass spectrometryfood-grade meatmulti-sitereference materialREIMS

Identifiers

PMID36422272
PMCPMC9699633

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Registered trials

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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.