Evidence map›Paper›PMID 40426634›Full record

ArticleBrain sciences2025

Repeat Resection for Recurrent Glioblastoma in the WHO 2021 Era: A Longitudinal Matched Case-Control Study.

Melike Mut, Hatice Yagmur Zengin, Aynur Azizova, Cengiz Savas Askun, David Schiff, Figen Soylemezoglu

Abstract read
In one paragraph

Article in Brain sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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

6 authors.

Melike MutDepartment of Neurosurgery, University of Virginia, Charlottesville, VA 22908, USA.ORCID 0000-0002-9601-9907
Hatice Yagmur ZenginDepartment of Biostatistics, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey.ORCID 0000-0002-9855-2449
Aynur AzizovaRadiology & Nuclear Medicine Department, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0002-9354-2612
Cengiz Savas AskunDepartment of Computer Education and Instructional Technology, Middle East Technical University, Ankara 06800, Turkey.
David SchiffDepartment of Neurology, Division of Neuro-Oncology, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-1896-2502
Figen SoylemezogluDepartment of Pathology, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThis study aims to evaluate the overall survival benefits of repeat resection in patients with recurrent glioblastoma, IDH-wildtype (rGBM), and to identify factors for long-term survival, including the role of clinical, radiological, and molecular parameters.

methodsThis longitudinal matched case-control study included 60 patients with rGBM divided into two groups: one surgery (

resultsThe patients who underwent repeat resection had a significantly longer median survival of 23.9 months compared to 9.2 months in the one-surgery group (

conclusionsComplete repeat resection may improve overall survival in patients with recurrent IDH-wildtype GBM and should be considered earlier as a therapeutic option rather than a diagnostic or salvage procedure. Early surgical intervention, before declines in the KPS and GCS or tumor volumes become unmanageable, may lead to better outcomes. Further studies with larger cohorts are needed to confirm these findings.

Indexed as

extent of resectionglioblastomaIDH-wildtyperecurrentrepeat resectionsurgerysurvival

Identifiers

PMID40426634
PMCPMC12109614

What OpenQuestion holds

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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.