Evidence map›Paper›PMID 35497733›Full record

ReviewRSC advances2020

Mass spectrometry-based metabolomics in health and medical science: a systematic review.

Xi-Wu Zhang, Qiu-Han Li, Zuo-di Xu, Jin-Jin Dou

Abstract readReview
In one paragraph

Review in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 4 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

82 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Discovery of functional compounds from dimorphic edibleSynthetic and systems biotechnology · 2026
    Article
  7. Article
  8. Article
  9. Exometabolome variation in the fungal pathogen of humansApplied and environmental microbiology · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

22 more citing papers are in PubMed but not listed here.

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

4 authors.

Xi-Wu ZhangInstitute of Chinese Medicine, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin 150040 China doujinjin1980@126.com +86-451-87266827 +86-451-87266827.
Qiu-Han LiInstitute of Chinese Medicine, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin 150040 China doujinjin1980@126.com +86-451-87266827 +86-451-87266827.
Zuo-di XuInstitute of Chinese Medicine, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin 150040 China doujinjin1980@126.com +86-451-87266827 +86-451-87266827.
Jin-Jin DouInstitute of Chinese Medicine, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin 150040 China doujinjin1980@126.com +86-451-87266827 +86-451-87266827.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is the study of the investigation of small molecules derived from cellular and organism metabolism, which reflects the outcomes of the complex network of biochemical reactions in living systems. As the most recent member of the omics family, there has been notable progress in metabolomics in the last decade, mainly driven by the improvement in mass spectrometry (MS). MS-based metabolomic strategies in modern health and medical science studies provide innovative tools for novel diagnostic and prognostic approaches, as well as an augmented role in drug development, nutrition science, toxicology, and forensic science. In the present review, we not only introduce the application of MS-based metabolomics in the above fields, but also discuss the MS analysis technologies commonly used in metabolomics and the application of metabolomics in precision medicine, and further explore the challenges and perspectives of metabolomics in the field of health and medical science, which are expected to make a little contribution to the better development of metabolomics.

Identifiers

PMID35497733
PMCPMC9048967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.