Evidence map›Paper›PMID 30830407›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Comparative analysis of creatinine and osmolality as urine normalization strategies in targeted metabolomics for the differential diagnosis of asthma and COPD.

Mona M Khamis, Teagan Holt, Hanan Awad, Anas El-Aneed, Darryl J Adamko

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. Ameliorative effect ofSaudi journal of biological sciences · 2023
    Article
  5. Article
  6. Metabolite quantification: A fluorescence-based method for urine sample normalization prior toMetabolomics : Official journal of the Metabolomic Society · 2022
    Article
  7. Review
  8. Metabolomics study of blood pressure salt-sensitivity and hypertension.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
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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

5 authors.

Mona M KhamisCollege of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.
Teagan HoltCollege of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.
Hanan AwadCalgary Laboratory Services, Alberta Health Services, Calgary, AB, Canada.
Anas El-AneedCollege of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.
Darryl J AdamkoDepartment of Pediatrics, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada. darryl.adamko@usask.ca.ORCID 0000-0002-9619-2048

Funding

AllerGen NCE416701
6 · The paper itself

Abstract

introductionUrine is an ideal matrix for metabolomics investigation due to its non-invasive nature of collection and its rich metabolite content. Despite the advancements in mass spectrometry and

objectiveTo assess whether the statistical model of separation of diseases using targeted metabolomic data would be improved by normalization to osmolality instead of creatinine.

methodsThe concentration of 32 metabolites was previously measured by two liquid chromatography-tandem mass spectrometry methods in 51 human urine samples with either asthma (n = 25) or COPD (n = 26). The data was normalized to creatinine or osmolality. Statistical analysis of the normalized values in each disease was performed using partial least square discriminant analysis (PLS-DA). Models of separation of diseases were compared.

resultsWe found that normalization to creatinine or osmolality did not significantly change the PLS-DA models of separation (R

conclusionOur findings suggest that targeted urine metabolomic data can be normalized for hydration using creatinine or osmolality with no significant impact on the diagnostic accuracy of the model.

Indexed as

MetabolomicsOsmolar ConcentrationAsthmaCreatinineFemaleHumansMaleMiddle AgedPulmonary Disease, Chronic ObstructiveCreatinineCreatinineMetabolomicsOsmolalityPLS-DATargetedUrine normalization

Identifiers

What OpenQuestion holds

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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.