Evidence map›Paper›PMID 31428150›Full record

ArticleJournal of oncology2019

Circulating Proangiogenic Cells and Proteins in Patients with Glioma and Acute Myocardial Infarction: Differences in Neovascularization between Neoplasia and Tissue Regeneration.

Karin Huizer, Andrea Sacchetti, Wim A Dik, Dana A Mustafa, Johan M Kros

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Tumor Vessels Fuel the Fire in Glioblastoma.International journal of molecular sciences · 2021
    Review
  6. 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.

Karin HuizerDepartment of Pathology, Erasmus Medical Center, Wytemaweg 80, 3015GD Rotterdam, Netherlands.
Andrea SacchettiDepartment of Pathology, Erasmus Medical Center, Wytemaweg 80, 3015GD Rotterdam, Netherlands.
Wim A DikDepartment of Immunology, Erasmus Medical Center, Wytemaweg 80, 3015GD Rotterdam, Netherlands.
Dana A MustafaDepartment of Pathology, Erasmus Medical Center, Wytemaweg 80, 3015GD Rotterdam, Netherlands.ORCID https://orcid.org/0000-0003-0644-078X
Johan M KrosDepartment of Pathology, Erasmus Medical Center, Wytemaweg 80, 3015GD Rotterdam, Netherlands.ORCID https://orcid.org/0000-0002-4727-0724
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although extensive angiogenesis takes place in glial tumors, antiangiogenic therapies have remained without the expected success. In the peripheral circulation of glioma patients, increased numbers of endothelial precursor cells (EPCs) are present, potentially offering targets for antiangiogenic therapy. However, for an antiangiogenic therapy to be successful, the therapy should specifically target glioma-related EPC subsets and secreted factors only. Here, we compared the EPC subsets and plasma factors in the peripheral circulation of patients with gliomas to acute myocardial infarctions. We investigated the five most important EPC subsets and 21 angiogenesis-related plasma factors in peripheral blood samples of 29 patients with glioma, 14 patients with myocardial infarction, and 20 healthy people as controls, by FACS and Luminex assay. In GBM patients, all EPC subsets were elevated as compared to healthy subjects. In addition, HPC and KDR

Identifiers

PMID31428150
PMCPMC6679840
OpenAlexW2963588632

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.