Evidence map›Paper›PMID 41096686›Full record

ReviewInternational journal of molecular sciences2025

Navigating the Central Nervous System (CNS): A Pharmacokinetic Approach to the Treatment of CNS Tumors, Glioblastoma Multiforme (GBM), in Particular.

Dorota Bartusik-Aebisher, Jakub Tylutki, Michał Tylutki, Dominika Leś, David Aebisher

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Review
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  5. 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

5 authors.

Dorota Bartusik-AebisherDepartment of Biochemistry and General Chemistry, Medical Faculty, Collegium Medicum, Rzeszów University, 35-310 Rzeszów, Poland.ORCID 0000-0002-5557-5464
Jakub TylutkiEnglish Division Science Club, Medical Faculty, Collegium Medicum, Rzeszów University, 35-310 Rzeszów, Poland.
Michał TylutkiSpecialist Hospital in Tarnów, 33-100 Tarnów, Poland.
Dominika LeśDepartment of Photomedicine and Physical Chemistry, Medical Faculty, Collegium Medicum, Rzeszów University, 35-310 Rzeszów, Poland.
David AebisherDepartment of Photomedicine and Physical Chemistry, Medical Faculty, Collegium Medicum, Rzeszów University, 35-310 Rzeszów, Poland.ORCID 0000-0002-2661-6570

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors of the central nervous system (CNS) represent a unique therapeutic challenge due to the complexity of the CNS and the protective role of the blood-brain barrier (BBB). All gliomas are of glial origin, account for the majority of CNS tumors, and are classified by the World Health Organization into four grades based on malignancy. High-grade gliomas, such as glioblastoma multiforme (GBM), exhibit aggressive growth, resistance to treatment, and poor prognosis. Despite significant advancements in cancer therapy, effective drug delivery to CNS tumors remains limited due to pharmacokinetic barriers, especially the BBB, and tumor-related resistance mechanisms. This review highlights the biological characteristics of gliomas and emphasizes the current challenges in achieving effective CNS tumor treatment.

Indexed as

Antineoplastic AgentsBrain NeoplasmsCentral Nervous System NeoplasmsGlioblastomaAnimalsBlood-Brain BarrierDrug Delivery SystemsHumansAntineoplastic Agentsblood-brain barrierblood-tumor barrierbradykinincentral nervous system tumorsconvection-enhanced deliverydrug deliveryfocused ultrasoundglioblastomagliomaP-glycoprotein

Identifiers

PMID41096686
PMCPMC12525253

What OpenQuestion holds

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LicenceCC BY
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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.