Evidence map›Paper›PMID 28321390›Full record

ReviewCanadian journal of gastroenterology & hepatology2017

Metabonomics Research Progress on Liver Diseases.

Mengqian Yu, Ying Zhu, Qingwei Cong, Chunyan Wu

Abstract readReview
In one paragraph

Review in Canadian journal of gastroenterology & hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Postbiotics Prepared UsingInternational journal of molecular sciences · 2022
    Article
  9. Respiratory Depression as Antibacterial Mechanism of Linalool againstInternational journal of molecular sciences · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Serum Metabolomics Analysis for Biomarkers ofFoods (Basel, Switzerland) · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Novel approaches to liver disease diagnosis and modeling.Translational gastroenterology and hepatology · 2021
    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

4 authors.

Mengqian YuDepartment of Infectious Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.ORCID 0000-0002-0972-0608
Ying ZhuDepartment of Infectious Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.ORCID 0000-0002-0624-7974
Qingwei CongDepartment of Infectious Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.ORCID 0000-0002-5938-9685
Chunyan WuDepartment of Infectious Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.ORCID 0000-0002-4611-3495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics as the new omics technique develops after genomics, transcriptomics, and proteomics and has rapid development at present. Liver diseases are worldwide public health problems. In China, chronic hepatitis B and its secondary diseases are the common liver diseases. They can be diagnosed by the combination of history, virology, liver function, and medical imaging. However, some patients seldom have relevant physical examination, so the diagnosis may be delayed. Many other liver diseases, such as drug-induced liver injury (DILI), alcoholic liver disease (ALD) and nonalcoholic fatty liver disease (NAFLD), and autoimmune liver diseases, still do not have definite diagnostic markers; the diagnosis consists of history, medical imaging, and the relevant score. As a result, the clinical work becomes very complex. So it has broad prospects to explore the specific and sensitive biomarkers of liver diseases with metabolomics. In this paper, there are several summaries which are related to the current research progress and application of metabolomics on biomarkers of liver diseases.

Indexed as

MetabolomicsBiomarkersHumansLiver DiseasesBiomarkers

Identifiers

PMID28321390
PMCPMC5339575

What OpenQuestion holds

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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.