Evidence map›Paper›PMID 29617848›Full record

ArticleNeurosurgery2019

Surgery for Glioblastoma in Light of Molecular Markers: Impact of Resection and MGMT Promoter Methylation in Newly Diagnosed IDH-1 Wild-Type Glioblastomas.

Florian Gessler, Joshua D Bernstock, Anne Braczynski, Stephanie Lescher, Peter Baumgarten, Patrick N Harter, Michel Mittelbronn, Tianxia Wu, Volker Seifert, Christian Senft

Abstract read
In one paragraph

Article in Neurosurgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 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

10 authors at 4 institutions in 2 countries.

Florian GesslerDepartment of Neurosurgery, University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Joshua D BernstockStroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NINDS/NIH), Bethesda, Maryland.
Anne BraczynskiNeurological Institute (Edinger Institute), University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Stephanie LescherInstitute of Neuroradiology, University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Peter BaumgartenDepartment of Neurosurgery, University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Patrick N HarterNeurological Institute (Edinger Institute), University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Michel MittelbronnNeurological Institute (Edinger Institute), University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Tianxia WuClinical trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NINDS/NIH), Bethesda, Maryland.
Volker SeifertDepartment of Neurosurgery, University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
Christian SenftDepartment of Neurosurgery, University Hospital Frankfurt, Goethe-University, Frankfurt, Germany.
National Institutes of Health · USUniversity Hospital Frankfurt · DEGoethe University Frankfurt · DENational Institute of Neurological Disorders and Stroke · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies addressing the influence of surgery on the outcome of patients with glioblastomas (GBM) have not addressed molecular markers. The value of surgery versus the tumor's major biological markers remains unclear.

objectiveWe investigate the extent of resection as a prognosticator for patients with newly diagnosed primary GBM with the incorporation of molecular diagnostics as per the updated WHO 2016 diagnostic criteria for GBM.

methodsPatients with newly diagnosed GBM who underwent resection were prospectively included within a database. We analyzed patients with newly diagnosed GBM and excluded patients who presented with IDH1 R132H mutations. Gross total resection (GTR) was defined as complete removal of enhancing disease.

resultsOne hundred seventy-five patients were included within the analysis. One hundred four patients (59.4%) had GTR, 71 patients (40.6%) had subtotal or partial resection. Eighty patients (45.7%) displayed O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation, 95 patients (54.3%) showed no MGMT promoter methylation. In Cox regression analysis, MGMT promoter methylation (hazard ratio [HR] 1.55; 95% confidence interval [CI], 1.01-2.19; P = .0133) and GTR (HR 1.48; 95% CI, 1.06-2.07; P = .0206) were significantly associated with favorable progression-free survival. MGMT promoter methylation (HR 2.13; 95% CI, 1.45-3.12; P = .0001) and GTR (HR 1.81; 95% CI, 1.24-2.63; P = .002) were associated with favorable overall survival (OS). Of other risk factors analyzed, age (>60 vs ≤ 60 yr) was significantly associated with progression-free survival (HR 1.60; 95% CI, 1.14-2.24; P = .006) and OS (HR 2.19; 95% CI, 1.51-3.19; P < .0001).

conclusionGTR and MGMT promoter methylation are independent prognosticators for improved overall and progression-free survival in a homogeneous cohort of newly diagnosed patients with IDH wild-type glioblastoma.

Indexed as

AdultAgedBiomarkers, TumorBrain NeoplasmsCohort StudiesDNA MethylationDNA Modification MethylasesDNA Repair EnzymesFemaleGlioblastomaHumansMaleMiddle AgedPrognosisProgression-Free SurvivalPromoter Regions, GeneticBiomarkers, TumorDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTumor Suppressor Proteins

Identifiers

PMID29617848
PMCPMC6500906
OpenAlexW2795365939

What OpenQuestion holds

Textmetadata
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.