Evidence map›Paper›PMID 35929112›Full record

ReviewBrain tumor research and treatment2022

Local Drug Delivery Strategies for Glioblastoma Treatment.

Gi Doo Cha, Sonwoo Jung, Seung Hong Choi, Dae-Hyeong Kim

Open access · greenAbstract readReview
In one paragraph

Review in Brain tumor research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

4 authors at 1 institution in 1 country.

Gi Doo ChaCenter for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Korea.ORCID https://orcid.org/0000-0002-4771-3396
Sonwoo JungCenter for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Korea.ORCID https://orcid.org/0000-0002-3797-8024
Seung Hong ChoiCenter for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Korea.ORCID https://orcid.org/0000-0002-0412-2270
Dae-Hyeong KimCenter for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Korea.ORCID https://orcid.org/0000-0002-4722-1893
Seoul National University · KR

Funding

Institute for Basic Science IBS-R006-A1
6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is a brain tumor notorious for its malignancy. The key reason for the limited efficacy of standard treatment is the high recurrence rate of GBM, even after surgical resection. Hence, intensive postsurgical chemical therapies, such as the systemic delivery of various drugs and/or drug combinations, are typically followed after surgery. However, overcoming the blood-brain barrier by systemic administration to efficiently deliver drugs to the brain tumor remains a daunting goal. Therefore, various local drug delivery methods showing potential for improved therapeutic efficacy have been proposed. In particular, the recent application of electronic devices for the controlled delivery of chemotherapy drugs to GBM tissue has attracted attention. We herein review the recent progress of local drug delivery strategies, including electronics-assisted strategies, at the research and commercial level. We also present a brief discussion of the unsolved challenges and future research direction of localized chemotherapy methods for GBM.

Indexed as

Absorbable implantsBlood-brain barrierBrain tumorChemotherapyDrug administration routesDrug delivery systems

Identifiers

PMID35929112
PMCPMC9353160
OpenAlexW4289536086

What Socratic 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 Socratic graph.