Evidence map›Paper›PMID 31446307›Full record

ArticleTranslational oncology2019

Impacts on Histological Features and

Takaaki Beppu, Yuichi Sato, Noriyuki Yamada, Kazunori Terasaki, Toshiaki Sasaki, Tamotsu Sugai, Kuniaki Ogasawara

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Takaaki BeppuDepartment of Neurosurgery, Iwate Medical University, Japan. Electronic address: tbeppu@iwate-med.ac.jp.
Yuichi SatoDepartment of Neurosurgery, Iwate Medical University, Japan.
Noriyuki YamadaDepartment of Clinical Pathology, Iwate Medical University, Japan.
Kazunori TerasakiCyclotron Research Center, Iwate Medical University, Japan.
Toshiaki SasakiCyclotron Research Center, Iwate Medical University, Japan.
Tamotsu SugaiDepartment of Clinical Pathology, Iwate Medical University, Japan.
Kuniaki OgasawaraDepartment of Neurosurgery, Iwate Medical University, Japan.
Iwate Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBevacizumab (BEV), an antiangiogenic agent, induces dramatic normalization of the tumor vasculature in glioblastoma. This study aimed to clarify how one-time administration of BEV changes histological features in glioblastoma and how histological changes affect the uptake of MATERIALS AND

methodsSubjects were 18 patients with newly diagnosed glioblastoma who were assigned to two groups: BEV group, single intravenous administration of BEV before surgical tumor removal; and control group, surgical tumor removal alone. After surgery, we compared the densities of tumor cells and microvessels, and microvascular structures including vascular pericytes and L-type amino acid transporter-1 (LAT1) between the BEV and control groups. Correlations between

resultsBEV induced significant reductions in microvascular density, while tumor cell density and proliferation were retained in the BEV group. Percentages of vessels with pericytes and vascular endothelium with LAT1 expression were lower in the BEV group than in controls. Uptake of

conclusionsThe present study showed that even one course of BEV administration induced reductions in microvessels, vascular pericytes, and LAT1 expression in glioblastomas. One course of BEV therapy also reduced

Identifiers

PMID31446307
PMCPMC6717056
OpenAlexW2969442018

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.