Evidence map›Paper›PMID 37916157›Full record

ReviewFrontiers in oncology2023

Enhancing glioblastoma treatment through the integration of tumor-treating fields.

Katarzyna Szklener, Mateusz Bilski, Karolina Nieoczym, Dominika Mańdziuk, Sławomir Mańdziuk

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  15. Glioma and Peptidergic Systems: Oncogenic and Anticancer Peptides.International journal of molecular sciences · 2024
    Review
  16. Article
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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

5 authors.

Katarzyna SzklenerDepartment of Clinical Oncology and Chemotherapy, Medical University of Lublin, Lublin, Poland.
Mateusz BilskiDepartment of Radiotherapy, Medical University of Lublin, Lublin, Poland.
Karolina NieoczymStudent Scientific Association at the Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, Lublin, Poland.
Dominika MańdziukStudent Scientific Association at the Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, Lublin, Poland.
Sławomir MańdziukDepartment of Clinical Oncology and Chemotherapy, Medical University of Lublin, Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) represents a significant therapeutic challenge due to its aggressive nature. Tumor Treating Fields (TTFields) present a promising approach to GBM therapy. The primary mechanism of TTFields, an antimitotic effect, alongside numerous indirect effects including increased cell membrane permeability, signifies their potential in combination with other treatment modalities. Current combinations often include chemotherapy, particularly with temozolomide (TMZ), however, emerging data suggests potential synergy with targeted therapies, radiotherapy, and immunotherapy as well. TTFields display minimal side effects, predominantly skin-related, posing no significant barrier to combined therapies. The effectiveness of TTFields in GBM treatment has been demonstrated through several post-registration studies, advocating for continued research to optimize overall survival (OS) and progression-free survival (PFS) in patients, as opposed to focusing solely on quality of life.

Indexed as

cancer treatmentGBMglioblastomaTTFtumor treating fields

Identifiers

PMID37916157
PMCPMC10616854

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.