Evidence map›Paper›PMID 31779131›Full record

ArticleMetabolites2019

Metabolic Fingerprint of Chronic Obstructive Lung Diseases: A New Diagnostic Perspective.

Dimitris Tsoukalas, Evangelia Sarandi, Maria Thanasoula, Anca Oana Docea, Gerasimos Tsilimidos, Daniela Calina, Aristides Tsatsakis

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Reversal of brain aging by targeting telomerase: A nutraceutical approach.International journal of molecular medicine · 2021
    Article
  6. Review
  7. A Clinical Trial for the Identification of Metabolic Biomarkers in Hashimoto's Thyroiditis and in Psoriasis: Study Protocol.Pathophysiology : the official journal of the International Society for Pathophysiology · 2021
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

7 authors.

Dimitris TsoukalasDepartment of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Evangelia SarandiMetabolomic Medicine Clinic, Health Clinics for Autoimmune and Chronic Diseases, 10674 Athens, Greece.ORCID 0000-0001-6885-6209
Maria ThanasoulaMetabolomic Medicine Clinic, Health Clinics for Autoimmune and Chronic Diseases, 10674 Athens, Greece.
Anca Oana DoceaDepartment of Toxicology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Gerasimos TsilimidosMetabolomic Medicine Clinic, Health Clinics for Autoimmune and Chronic Diseases, 10674 Athens, Greece.
Daniela CalinaDepartment of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.ORCID 0000-0002-1523-9116
Aristides TsatsakisLaboratory of Toxicology and Forensic Sciences, Medical School, University of Crete, 71003 Heraklion, Greece.ORCID 0000-0003-3824-2462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive lung disease (COLD) is a group of airway diseases, previously known as emphysema and chronic bronchitis. The heterogeneity of COLD does not allow early diagnosis and leads to increased morbidity and mortality. The increasing number of COLD incidences stresses the need for precision medicine approaches that are specific to the patient. Metabolomics is an emerging technology that allows for the discrimination of metabolic changes in the cell as a result of environmental factors and specific genetic background. Thus, quantification of metabolites in human biofluids can provide insights into the metabolic state of the individual in real time and unravel the presence of, or predisposition to, a disease. In this article, the advantages of and potential barriers to putting metabolomics into clinical practice for COLD are discussed. Today, metabolomics is mostly lab-based, and research studies with novel COLD-specific biomarkers are continuously being published. Several obstacles in the research and the market field hamper the translation of these data into clinical practice. However, technological and computational advances will facilitate the clinical interpretation of data and provide healthcare professionals with the tools to prevent, diagnose, and treat COLD with precision in the coming decades.

Indexed as

biomarkersCOLDmetabolomicsprecision medicine

Identifiers

PMID31779131
PMCPMC6949962

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.