Evidence map›Paper›PMID 35503092›Full record

ArticleAnalytical chemistry2022

Gonçalo D S Correia, Panteleimon G Takis, Caroline J Sands, Anna M Kowalka, Tricia Tan, Lance Turtle, Antonia Ho, Malcolm G Semple, Peter J M Openshaw, J Kenneth Baillie and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 5 institutions in 1 country.

Gonçalo D S CorreiaSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID 0000-0001-8271-9294
Panteleimon G TakisSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID 0000-0002-7224-0412
Caroline J SandsSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Anna M KowalkaDivision of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, United Kingdom.
Tricia TanDivision of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, Du Cane Road, London W12 0NN, United Kingdom.
Lance TurtleNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection and Global Health, University of Liverpool, Liverpool L69 7BE, United Kingdom.
Antonia HoMRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow G61 1QH, United Kingdom.
Malcolm G SempleNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 7BE, United Kingdom.
Peter J M OpenshawFaculty of Medicine, National Heart and Lung Institute, Imperial College London, London SW3 6LY, United Kingdom.
J Kenneth BaillieRoslin Institute, University of Edinburgh, Edinburgh EH25 9RG, United Kingdom.
Zoltán TakátsSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID 0000-0002-0795-3467
Matthew R LewisSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID 0000-0001-5760-5359
Imperial College London · GBCharing Cross Hospital · GBUniversity of Liverpool · GBMRC University of Glasgow Centre for Virus Research · GBRoslin Institute · GB

Funding

Department of Health CO-CIN-01Medical Research Council MC_PC_12025Medical Research Council MC_PC_19025Medical Research Council MC_PC_19059Medical Research Council MC_UU_12014/9Medical Research Council MR/R502121/1Medical Research Council MR/S010483/1
6 · The paper itself

Abstract

Normalization to account for variation in urinary dilution is crucial for interpretation of urine metabolic profiles. Probabilistic quotient normalization (PQN) is used routinely in metabolomics but is sensitive to systematic variation shared across a large proportion of the spectral profile (>50%). Where

Indexed as

COVID-19HumansMagnetic Resonance SpectroscopyMetabolomeMetabolomicsProton Magnetic Resonance Spectroscopy

Identifiers

PMID35503092
PMCPMC9118196
OpenAlexW4225307183

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.