Evidence map›Paper›PMID 34349852›Full record

ReviewWorld journal of oncology2021

Personalized Medicine in Ovarian Cancer: A Perspective From Mexico.

Luis E Fernandez-Garza, Irma G Dominguez-Vigil, Jose Garza-Martinez, Erick A Valdez-Aparicio, Silvia A Barrera-Barrera, Hugo A Barrera-Saldana

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Types of Cancer and Research Covered inWorld journal of oncology · 2022
    Article
  6. Article
  7. 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

6 authors at 3 institutions in 2 countries.

Luis E Fernandez-GarzaInnbiogem SC/Vitagenesis SA at National Laboratory for Services of Research, Development, and Innovation for the Pharma and Biotech Industries (LANSEIDI) of CONACyT Vitaxentrum Group, Monterrey, Nuevo Leon, Mexico.ORCID https://orcid.org/0000-0003-2387-4643
Irma G Dominguez-VigilLaboratory for Translational Research, Rudy L. Ruggles Biomedical Research Institute, Nuvance Health, Danbury, CT, USA.
Jose Garza-MartinezTecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico.
Erick A Valdez-AparicioInnbiogem SC/Vitagenesis SA at National Laboratory for Services of Research, Development, and Innovation for the Pharma and Biotech Industries (LANSEIDI) of CONACyT Vitaxentrum Group, Monterrey, Nuevo Leon, Mexico.
Silvia A Barrera-BarreraNational Institute of Pediatrics, Mexico City, Mexico.
Hugo A Barrera-SaldanaInnbiogem SC/Vitagenesis SA at National Laboratory for Services of Research, Development, and Innovation for the Pharma and Biotech Industries (LANSEIDI) of CONACyT Vitaxentrum Group, Monterrey, Nuevo Leon, Mexico.ORCID https://orcid.org/0000-0003-1587-4571
Biomedical Research Institute · USTecnológico de Monterrey · MXTecnológico Nacional de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) represents a serious health problem worldwide. In Mexico, most OC patients are detected at late stages, consequently making OC one of the leading causes of death in women after reaching puberty. Personalized medicine (PM) provides an individualized therapeutic opportunity for treating each patient relying on "omic" tools to match the correct drug with the specific pathogenic genomic signature. PM can help predict the best therapeutic option for each affected woman suffering from OC. In recent years, Mexico has made contributions to the PM of OC; however, it still has a long way to go for its full implementation in the country's health system.

Indexed as

MexicoOvarian cancerPersonalized medicineTargeted therapies

Identifiers

PMID34349852
PMCPMC8297048
OpenAlexW3181740191

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.