Evidence map›Paper›PMID 31498567›Full record

ArticleCancer medicine2019

Effect of bevacizumab against cystic components of brain tumors.

Fumiyuki Yamasaki, Manish Kolakshyapati, Motoki Takano, Ushio Yonezawa, Ikuno Nishibuchi, Nobuki Imano, Akira Taguchi, Shumpei Onishi, Vishwa Jeet Amatya, Yukio Takeshima and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 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
0.6field-weighted citation impact, top 30% 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, 5 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Fumiyuki YamasakiDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID 0000-0003-0164-6295
Manish KolakshyapatiDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Motoki TakanoDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ushio YonezawaDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ikuno NishibuchiDepartment of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Nobuki ImanoDepartment of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Akira TaguchiDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Shumpei OnishiDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Vishwa Jeet AmatyaDepartment of Pathology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yukio TakeshimaDepartment of Pathology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yasushi NagataDepartment of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kaoru KurisuDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kazuhiko SugiyamaDepartment of Clinical Oncology & Neuro-oncology Program, Hiroshima University Hospital, Hiroshima, Japan.
Hiroshima University · JPHiroshima University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBevacizumab improves symptoms via reducing the peritumoral edema and/or normalizing blood brain barrier, and occasionally via reducing the tumor size. However, the effect against active cystic components has not been documented yet. MATERIALS AND

methodsBetween 2008 and 2018, 139 patients with primary or metastatic brain tumors were treated with bevacizumab (BEV) in our institution. The images and symptoms before and after administration of BEV were examined, and changes in size of cysts were evaluated as follows: CR (complete disappearance), PR (reduction by ≥50%), MR (reduction by ≥25%), SD (size change <25%), PD (increase by ≥25%). The effect of BEV on tumor itself was determined according to Response Assessment in Neuro-Oncology criteria.

resultsOf the 139 patients, 21 (15.1%) had cystic components. The best responses of cysts to BEV treatment were as follows: CR 6, PR 7, MR 4, SD 4. The group of patients with progressively increasing cysts prior to BEV treatment had significant cyst size reduction compared to stable cyst size groups, at initial imaging after BEV (mean 62.6% vs 22.5%, P = .0055) and at best response timing (mean 76.3% vs 32.8%, P = .0050). Patients with cysts showed significant improvement in symptoms after the treatment with BEV compared to patients without cysts (P = .0033). However, response rate was not different between patients with or without cysts. Overall survival after starting BEV was not different between glioblastoma patients with or without cysts.

conclusionBevacizumab is effective against progressively increasing cysts. Although cysts reduction effect and tumor response and/or overall survival are independent, BEV may be effective in patients who are symptomatic due to cyst enlargement.

Indexed as

AdolescentAdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBevacizumabBrain NeoplasmsChildChild, PreschoolCystsFemaleHumansInfantMaleMiddle AgedSurvival AnalysisAntineoplastic Agents, ImmunologicalBevacizumabbevacizumabcystglioblastomametastatic brain tumorprimary brain tumor

Identifiers

PMID31498567
PMCPMC6825995
OpenAlexW2973086136

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Registered trials

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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.