Evidence map›Paper›PMID 30976047›Full record

ArticleScientific reports2019

Extent of Resection in Meningioma: Predictive Factors and Clinical Implications.

Jean-Michel Lemée, Marco V Corniola, Michele Da Broi, Holger Joswig, David Scheie, Karl Schaller, Eirik Helseth, Torstein R Meling

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Giant Meningiomas Invading the Cavernous Sinus: The "Inevitable Ones".Journal of neurological surgery. Part B, Skull base · 2025
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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

8 authors.

Jean-Michel LeméeDepartment of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Genève, Switzerland. Jean-Michel.Lemee@hcuge.ch.ORCID http://orcid.org/0000-0002-0720-9101
Marco V CorniolaDepartment of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Genève, Switzerland.
Michele Da BroiFaculty of Medicine, University of Oslo, Oslo, Norway.
Holger JoswigDepartment of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Genève, Switzerland.
David ScheieSection of Neuropathology, Rigshospitalet, Copenhagen, Denmark.
Karl SchallerDepartment of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Genève, Switzerland.
Eirik HelsethFaculty of Medicine, University of Oslo, Oslo, Norway.
Torstein R MelingDepartment of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Genève, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meningiomas present as intracranial extra-axial lesions with dural attachment, which are primarily managed surgically. The extent of resection (EOR) may vary depending on patient- and tumor-related factors. The aim of this study is to identify preoperative predictive factors of EOR and to propose an estimation of the predicted gross total resection (GTR) based of patient- and tumor-characteristics. 1469 patients from a retrospectively (1990 to 2002) and prospectively managed (2003 to 2010) databank of Oslo University Hospital, Norway, totalling 11,414 patient-years of follow-up were included. Patients had a mean age at surgery of 64 ± 20.1 years with a female-to-male ratio was 2.4:1 and a mean KPS of 81.2 ± 12.1. Skull-base meningiomas represented 47% of all cases. WHO grades were I in 92.3%, II in 5.2%, and III in 2.2%. Bone infiltration was described in 18.7% of cases. 39.3% of patients had Simpson I resection, 34.3% had Simpson II, 5.4% had Simpson III, 20.6% had Simpson IV, and 0.5% had Simpson V. The risk factors for incomplete resection were: symptomatic presentation (OR 0.56 [0.43-0.72]), skull-base location (OR 0.79 [0.70-0.88]), and bone invasion (OR 0.85 [0.73-0.99]). Using a recursive partitioning analysis, we propose a classification-tree for the prediction of GTR rate based on preoperatively determinable patient- and tumor characteristics. The identification of preoperative predictors of poor GTR rate may aid clinicians managing meningioma patients. In selected cases were the predicted GTR rate is low, staged treatment with surgical debulking followed by adjuvant therapy may be favored in order to minimize postoperative morbidity and mortality.

Indexed as

FemaleFollow-Up StudiesHumansMaleMeningeal NeoplasmsMeningiomaMiddle AgedNeurosurgical ProceduresPostoperative ComplicationsPrognosisPropensity ScoreProspective StudiesRetrospective StudiesRisk FactorsSkull Base NeoplasmsSurvival Rate

Identifiers

PMID30976047
PMCPMC6459829

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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.