Evidence map›Paper›PMID 31121909›Full record

ReviewMetabolites2019

Breast Cancer Metabolomics: From Analytical Platforms to Multivariate Data Analysis. A Review.

Catarina Silva, Rosa Perestrelo, Pedro Silva, Helena Tomás, José S Câmara

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. A predictive model for neoadjuvant therapy response in breast cancer.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Catarina SilvaCQM - Centro de Química da Madeira, Universidade da Madeira, Campus Universitário da Penteada, 9020-105 Funchal, Portugal. cgsluis@staff.uma.pt.ORCID 0000-0002-3018-3165
Rosa PerestreloCQM - Centro de Química da Madeira, Universidade da Madeira, Campus Universitário da Penteada, 9020-105 Funchal, Portugal. rmp@staff.uma.pt.
Pedro SilvaCQM - Centro de Química da Madeira, Universidade da Madeira, Campus Universitário da Penteada, 9020-105 Funchal, Portugal. pedro_dasilva@hotmail.com.
Helena TomásCQM - Centro de Química da Madeira, Universidade da Madeira, Campus Universitário da Penteada, 9020-105 Funchal, Portugal. lenat@staff.uma.pt.
José S CâmaraCQM - Centro de Química da Madeira, Universidade da Madeira, Campus Universitário da Penteada, 9020-105 Funchal, Portugal. jsc@staff.uma.pt.ORCID 0000-0003-1965-3151
Universidade da Madeira · PT

Funding

ARDITI-Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação M1420-01-0145-FEDER-000005ARDITI-Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação M1420 Project - 09-5369-FSE-000001.Fundação para a Ciência e a Tecnologia PEst-OE/QUI/UI0674/2019Fundação para a Ciência e a Tecnologia SFRH/BD/97039/2013Fundação para a Ciência e a Tecnologia SFRH/BPD/97387/2013Indigo Programme INNOINDIGO/0001/2015Madeira 14-20 PROEQUIRAM - M1420-01-0145-FEDER-000008
6 · The paper itself

Abstract

Cancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.

Indexed as

analytical platformsbreast cancerchemometric methodsomics

Identifiers

PMID31121909
PMCPMC6572290
OpenAlexW2946053544

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.