Evidence map›Paper›PMID 39560695›Full record

ArticleJournal of neuro-oncology2024

Multimodal treatment of glioblastoma with multiple lesions - a multi-center retrospective analysis.

Harald Krenzlin, Dragan Jankovic, Alice Dauth, Felipa Lange, Martin Wetzel, Leon Schmidt, Insa Janssen, Christoph Richter, Marcus Stockinger, Heinz Schmidberger and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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

15 authors.

Harald Krenzlin *Department of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany. harald.krenzlin@unimedizin-mainz.de.ORCID http://orcid.org/0000-0002-9001-8006
Dragan Jankovic *Department of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Alice DauthDepartment of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Felipa LangeDepartment of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Martin WetzelDepartment of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Leon SchmidtDepartment of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Insa JanssenDepartment of Neurosurgery, University Medical Center, Technical University of Munich, Munich, Germany.
Christoph RichterDepartment of Radiation Oncology and Radiation Therapy, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Marcus StockingerDepartment of Radiation Oncology and Radiation Therapy, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Heinz SchmidbergerDepartment of Radiation Oncology and Radiation Therapy, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Marc A BrockmannDepartment of Neuroradiology, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Clemens SommerInstitute of Neuropathology, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Bernhard MeyerDepartment of Neurosurgery, University Medical Center, Technical University of Munich, Munich, Germany.
Naureen Keric *Department of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.
Florian Ringel *Department of Neurosurgery, University Medical Center, Gutenberg University Mainz, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe presence of multiple localizations (ML) in glioblastoma is rare and associated with perceived poor prognosis. The aim of this study is to evaluate the impact of a multimodal treatment on progression-free survival (PFS) and overall survival (OS) in ML glioblastoma.

methodsPatients presenting with CNS WHO grade 4 glioblastoma with ML to 2 major German Departments of Neurosurgery between January 1st, 2008, to December 31st, 2020 were included in this study. Primary outcome parameters were extent of resection (EOR) using the 2021 RANO criteria, progression free- and overall survival.

resultsA total of 483 patients with newly diagnosed glioblastoma (CNS WHO grade 4) were assessed. 134 patients presented with ML (72 multifocal (MF), 62 multicentric (MC)). The median PFS and OS did not differ among MC and MF glioblastomas. The EOR was a significant predictor of PFS and OS in ML glioblastoma. complete-, near total-, and subtotal resection significantly prolonged PFS (p < 0.0001) and OS (p < 0.0001) compared to biopsy alone. Standard radiotherapy (p = 0.045) and hypofractionated (p < 0.0001) radiotherapy and adjuvant treatment (Stupp protocol) prolonged PFS (p = 0.0012) and OS (p < 0.0001). In multivariate analysis Karnfosky performance score, EOR, and concomitant adjuvant treatment remained significant factors influencing OS. Propensity score matching of patients with ML and solitary lesion tumors showed similar PFS and OS (p = 0.08).

conclusionThe presented data suggests that glioblastomas with multiple lesions treated with multimodal therapy equal survival rates compared to patients with solitary lesion tumors can be achieved. The results reflect the importance of an equally aggressive maximal treatment effort in this particular and often marginalized group of patients.

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedCombined Modality TherapyFemaleFollow-Up StudiesHumansMaleMiddle AgedNeurosurgical ProceduresPrognosisRetrospective StudiesSurvival RateExtent of resectionGlioblastomaMulticentricMultifocalMultimodal therapy

Identifiers

PMID39560695
PMCPMC11614972

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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.