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The British Journal of Nutrition Jan 2022In this systematic review and dose-response meta-analysis, we aimed to assess whether coffee and tea consumption is related to the risk of glioma. We performed a... (Meta-Analysis)
Meta-Analysis
In this systematic review and dose-response meta-analysis, we aimed to assess whether coffee and tea consumption is related to the risk of glioma. We performed a systematic literature search using PubMed, Embase, Scopus and the EuropePMC from the inception of database up until 1 October 2020. Exposures in the present study were coffee and tea consumption, the main outcome was the incidence of glioma. The present study compares the association between the exposure of coffee and tea with the incidence of glioma, and the results are reported in relative risks (RR). There are 12 unique studies comprising of 1 960 731 participants with 2987 glioma cases. Higher coffee consumption was associated with a statistically non-significant trend towards lower risk of glioma (RR 0·77 (95 % CI 0·55, 1·03), P= 0·11; I2:75·27 %). Meta-regression showed that the association between coffee and glioma was reduced by smoking (P= 0·029). Higher tea consumption was associated with a lower risk of glioma (RR 0·84 (95 % CI 0·71, 0·98), P= 0·030; I2:16·42 %). Sensitivity analysis by removal of case-control studies showed that higher coffee consumption (RR 0·85 (95 % CI 0·72, 1·00), P= 0·046; I2:0 %) and higher tea consumption (RR 0·81 (95 % CI 0·70, 0·93), P= 0·004; I2:0 %, Pnon-linearity = 0·140) were associated with lower risk of glioma. Dose-response meta-analysis showed that every one cup of coffee per day decreases the risk of glioma by 3 % (RR 0·97 (95 % CI 0·94, 0·99), P= 0·016, Pnon-linearity = 0·054) and every one cup of tea per day decreases the risk of glioma by 3 % (RR 0·97 (95 % CI 0·94, 1·00), P= 0·048). This meta-analysis showed apparent association between coffee and tea intake and risk of glioma.
Topics: Coffee; Glioma; Humans; Incidence; Risk; Risk Factors; Tea
PubMed: 33750490
DOI: 10.1017/S0007114521000830 -
The Oncologist Feb 2015Bevacizumab, currently an option for treatment of different types of tumors including glioblastoma, has a peculiar toxicity profile related to its antiangiogenic effect.... (Review)
Review
Bevacizumab, currently an option for treatment of different types of tumors including glioblastoma, has a peculiar toxicity profile related to its antiangiogenic effect. Because some bevacizumab-related adverse events can be life threatening, it is important to identify risk factors and to establish treatment protocols to minimize treatment-related morbidity and mortality. In glioblastoma patients, the risk of developing certain side effects, such as gastrointestinal perforation, venous thromboembolism, and intracranial hemorrhages, is slightly higher than in patients treated with bevacizumab for other tumor types. We performed a systematic review of the side effects of bevacizumab and their incidence, causal mechanisms, and available treatments. Finally, we identified risk factors and proposed preventive and therapeutic measures for these adverse events.
Topics: Angiogenesis Inhibitors; Bevacizumab; Disease Management; Glioblastoma; Humans; Venous Thromboembolism
PubMed: 25568148
DOI: 10.1634/theoncologist.2014-0330 -
Brain Tumor Pathology Jul 2023The WHO 2021 classification defines IDH wild type (IDHw) histologically lower-grade glioma (hLGG) as molecular glioblastoma (mGBM) if TERT promoter mutation (pTERTm),... (Meta-Analysis)
Meta-Analysis Review
The WHO 2021 classification defines IDH wild type (IDHw) histologically lower-grade glioma (hLGG) as molecular glioblastoma (mGBM) if TERT promoter mutation (pTERTm), EGFR amplification or chromosome seven gain and ten loss aberrations are indicated. We systematically reviewed articles of IDHw hLGGs studies (49 studies, N = 3748) and meta-analyzed mGBM prevalence and overall survival (OS) according to the PRISMA statement. mGBM rates in IDHw hLGG were significantly lower in Asian regions (43.7%, 95% confidence interval [CI: 35.8-52.0]) when compared to non-Asian regions (65.0%, [CI: 52.9-75.4]) (P = 0.005) and were significantly lower in fresh-frozen specimen when compared to formalin-fixed paraffin-embedded samples (P = 0.015). IDHw hLGGs without pTERTm rarely expressed other molecular markers in Asian studies when compared to non-Asian studies. Patients with mGBM had significantly longer OS times when compared to histological GBM (hGBM) (pooled hazard ratio (pHR) 0.824, [CI: 0.694-0.98], P = 0.03)). In patients with mGBM, histological grade was a significant prognostic factor (pHR 1.633, [CI: 1.09-2.447], P = 0.018), as was age (P = 0.001) and surgical extent (P = 0.018). Although bias risk across studies was moderate, mGBM with grade II histology showed better OS rates when compared to hGBM.
Topics: Humans; Glioblastoma; Brain Neoplasms; Mutation; Isocitrate Dehydrogenase; Telomerase; Glioma; Prognosis
PubMed: 37212969
DOI: 10.1007/s10014-023-00463-8 -
Journal of Neuro-oncology Aug 2022Gliosarcomas are extremely rare malignant brain tumors, which can be classified as primary gliosarcoma (PGS) if the tumors arise de novo or secondary gliosarcoma (SGS)... (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
Gliosarcomas are extremely rare malignant brain tumors, which can be classified as primary gliosarcoma (PGS) if the tumors arise de novo or secondary gliosarcoma (SGS) in patients who had previously been treated for glioblastoma. Given their rarity, it is unclear if PGS is clinically and genetically different from SGS. This meta-analysis aimed to investigate the clinicopathological features, prognostic survivals, and molecular profiles of these rare tumors.
METHODS
We searched PubMed and Web of Science for relevant studies. Odds ratio (OR), hazard ratio (HR), and their 95% confidence intervals (CI) were pooled using the random-effect model.
RESULTS
We included eight studies with 239 PGS and 79 SGS for meta-analyses. Compared to PGS, SGS occurred at a younger age and had lower rates of gross total resection and radiation therapy. Bevacizumab was more commonly administered in SGS. SGS patients had a significantly worse PFS (HR 0.60; 95% CI 0.40-0.89) and OS (HR 0.46; 95% CI 0.31-0.68) in comparison to PGS. The incidences of EGFR mutation, IDH mutation, and MGMT methylation were not statistically different between PGS and SGS.
CONCLUSION
Our results demonstrated that PGS and SGS had distinct clinicopathological profiles and prognoses but shared similar genetic profiles. This study facilitates our understanding of how these two malignant brain tumors behave clinically, but future studies will be required to elucidate the genetic pathways of PGS and SGS.
Topics: Brain Neoplasms; Glioblastoma; Gliosarcoma; Humans; Mutation; Prognosis
PubMed: 35768633
DOI: 10.1007/s11060-022-04057-w -
World Neurosurgery Dec 2023Spinal ganglioneuromas (GNs) are rare benign tumors that often manifest as symptoms related to the compression of neural elements. The preferred treatment for affected... (Review)
Review
OBJECTIVE
Spinal ganglioneuromas (GNs) are rare benign tumors that often manifest as symptoms related to the compression of neural elements. The preferred treatment for affected patients is surgical resection, which typically improves symptoms and accompanies a low likelihood of tumor recurrence. We conducted a systematic review of reports of GNs involving the spinal cord and nerve roots, examining their clinical presentation, surgical management, and outcomes.
METHODS
Using the keywords "ganglioneuroma" and "spinal," we conducted a systematic database review of MEDLINE (PubMed), Scopus, and Embase, querying studies reporting cases of spinal GNs. Patients' demographics, location of the tumors, clinical features, and surgical outcomes were extracted from eligible articles.
RESULTS
A total of 93 spinal GN cases in 52 case reports/series met our criteria. Data analysis revealed a general male predominance, though thoracic spinal GNs were seen more in females. The mean age of patients with cervical, thoracic, thoracolumbar, and lumbar spinal GNs were 41.28, 27.65, 15.61, and 38.73 years, respectively. Multiple-level GNs were mostly seen in male patients or individuals with neurofibromatosis type 1. In all but 1 case, recurrence and reoperation were not reported in the short-term (months) and long-term (2-10 years) follow-up.
CONCLUSIONS
We found unique epidemiologic characteristics for patients with GNs of different spinal regions. The treatment of choice is achieving gross total resection, but given the eloquency of the lesions, achieving decompression via subtotal resection can also be associated with improved outcomes. To date, no global postoperative surveillance protocol exists, considering the low recurrence rate and relevant cost-benefit ratios.
Topics: Female; Humans; Male; Ganglioneuroma; Neoplasm Recurrence, Local; Spinal Cord Neoplasms; Neurofibromatosis 1; Neurosurgical Procedures
PubMed: 37659751
DOI: 10.1016/j.wneu.2023.08.057 -
Gaceta Medica de Mexico 2016Biomarkers are a subcategory of clinical signs that can be measured and reproduced with precision and influence to predict outcome. Tissue, cells, and fluid conform the... (Review)
Review
BACKGROUND
Biomarkers are a subcategory of clinical signs that can be measured and reproduced with precision and influence to predict outcome. Tissue, cells, and fluid conform the biological process. Biomarker usefulness is to determine and specify illness predisposition counting with variability and validity. Process systematization can reduce operative costs. To date, four major biomarkers have been described for high-grade gliomas: 1p/19q deletion, O6-methylguanine-DNA methyltransferase (MGMT) promoter mutation, IDH1/IDH2 mutation, and microRNA. In this manuscript we present a systematic review according to the MOOSE protocol to establish the bases to describe the utility of biomarkers in high-grade tumors.
MATERIALS AND METHODS
We conducted a systematic review of the literature according to the PRISMA and MOOSE guides of all the published data from January 2004 to November 2014 with the key words: "biological markers" and "glioblastoma" that included OR and 95% CI. One researcher performed data extraction and analysis.
RESULTS
A total of 169 articles were found in three major medical search engines: PubMed (42), Embase (30) and Ovid (96).
CONCLUSION
Biomarkers are tools designed for early detection of specific illnesses such as high-grade glioma. Lack of methodological standardization slows down the speed of progress.
Topics: Genetic Markers; Glioma; Humans; Neoplasm Grading
PubMed: 26927648
DOI: No ID Found -
Journal of Neuro-oncology Aug 2023To synthesize the evidence on the impact on progression-free survival (PFS) and overall survival (OS) of supramaximal resection (SMR) over gross total resection (GTR) in... (Meta-Analysis)
Meta-Analysis Review
Supramaximal versus gross total resection in Glioblastoma, IDH wild-type and Astrocytoma, IDH-mutant, grade 4, effect on overall and progression free survival: systematic review and meta-analysis.
PURPOSE
To synthesize the evidence on the impact on progression-free survival (PFS) and overall survival (OS) of supramaximal resection (SMR) over gross total resection (GTR) in Glioblastoma, IDH wild-type and Astrocytoma, IDH-mutant, grade 4 (Glioblastoma).
METHODS
The PubMed, Scopus, Web of Science, Ovid and Cochrane databases were systematically searched (up to November 30, 2022). Studies reporting OS and PFS on adult humans with a suspected Glioblastoma, treated either with a SMR or GTR were included. Hazard ratios were estimated for each study and treatment effects were calculated through DerSimonian and Laird random effects models.
RESULTS
The literature search yielded 14 studies published between 2013 and 2022, enrolling a total of 6779 patients. Analysis of the included studies reveals significantly better clinical outcomes favoring SMR over GTR in terms of PFS (HR 0.67; p = 0.0007), and OS (HR 0.7; p = 0.0001).
CONCLUSION
Glioblastoma, IDH wild-type and Astrocytoma, IDH-mutant, grade 4, are aggressive tumors with a very short long-term OS. SMR is an effective therapeutic approach contributing to increased PFS and OS in patients with this catastrophic disease.
Topics: Adult; Humans; Astrocytoma; Brain Neoplasms; Disease-Free Survival; Glioblastoma; Progression-Free Survival; Retrospective Studies
PubMed: 37561356
DOI: 10.1007/s11060-023-04409-0 -
Clinical Neurology and Neurosurgery Jun 2023The clinical benefit and the safety of fractionated stereotactic re-irradiation in treating patients with recurrent glioblastoma are still disputed. Thus, we conducted a... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
The clinical benefit and the safety of fractionated stereotactic re-irradiation in treating patients with recurrent glioblastoma are still disputed. Thus, we conducted a meta-analysis to explore the clinical benefit and the safety of fractionated stereotactic re-irradiation for patients with recurrent glioblastoma.
MATERIALS AND METHODS
We retrieved the eligible papers published up to Nov. 2022 through PubMed, Embase, Cochrane, Web of Science, and Clinical Trials. Gov, and other biomedical databases and evaluated the quality of the studies by Newcastle-Ottawa Scale. The random effect model was used to pool 12-month overall survival rates, 12-month progression-free survival rates, and radiational necrosis risk, and an interaction test was used to compare defined subgroups.
RESULTS
We identified eight eligible studies, including 307 patients. The overall survival rate of 12 months was 33.1 % (95 % CI 26.0 %-40.9 %), and the progression-free survival rate of 12 months was 13.4 % (95 % CI 8.0 %-21.3 %). Radiation necrosis was low in incidence in the included studies. Additionally, the subgroup analysis demonstrated that factors such as age, time interval (from the first radiation to the re-irradiation), total dose, and single dose, impacted the survival rate.
CONCLUSION
Fractionated stereotactic re-irradiation produces relative clinical benefit and safety for patients with recurrent glioblastoma.
Topics: Humans; Glioblastoma; Re-Irradiation; Brain Neoplasms; Neoplasm Recurrence, Local; Radiosurgery; Necrosis
PubMed: 37105068
DOI: 10.1016/j.clineuro.2023.107728 -
World Neurosurgery Jul 2023To develop a research overview of brain tumor classification using machine learning, we conducted a systematic review with a bibliometric analysis. Our systematic review... (Review)
Review
To develop a research overview of brain tumor classification using machine learning, we conducted a systematic review with a bibliometric analysis. Our systematic review and bibliometric analysis included 1747 studies of automated brain tumor detection using machine learning reported in the previous 5 years (2019-2023) from 679 different sources and authored by 6632 investigators. Bibliographic data were collected from the Scopus database, and a comprehensive bibliometric analysis was conducted using Biblioshiny and the R platform. The most productive and collaborative institutes, reports, journals, and countries were determined using citation analysis. In addition, various collaboration metrics were determined at the institute, country, and author level. Lotka's law was tested using the authors' performance. Analysis showed that the authors' publication trends followed Lotka's inverse square law. An annual publication analysis showed that 36.46% of the studies had been reported in 2022, with steady growth from previous years. Most of the cited authors had focused on multiclass classification and novel convolutional neural network models that are efficient for small training sets. A keyword analysis showed that "deep learning," "magnetic resonance imaging," "nuclear magnetic resonance imaging," and "glioma" appeared most often, proving that of the several brain tumor types, most studies had focused on glioma. India, China, and the United States were among the highest collaborative countries in terms of both authors and institutes. The University of Toronto and Harvard Medical School had the highest number of affiliations with 132 and 87 publications, respectively.
Topics: Humans; Brain; Brain Neoplasms; Glioma; Machine Learning; Bibliometrics; Radiopharmaceuticals
PubMed: 37019303
DOI: 10.1016/j.wneu.2023.03.115 -
Scientific Reports Aug 2022High-grade gliomas remain the most common primary brain tumour with limited treatments options and early recurrence rates following adjuvant treatments. However,... (Meta-Analysis)
Meta-Analysis
High-grade gliomas remain the most common primary brain tumour with limited treatments options and early recurrence rates following adjuvant treatments. However, differentiating true tumour progression (TTP) from treatment-related effects or pseudoprogression (PsP), may critically influence subsequent management options. Structural MRI is routinely employed to evaluate treatment responses, but misdiagnosis of TTP or PsP may lead to continuation of ineffective or premature cessation of effective treatments, respectively. A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses method. Embase, MEDLINE, Web of Science and Google Scholar were searched for methods applied to differentiate PsP and TTP, and studies were selected using pre-specified eligibility criteria. The sensitivity and specificity of included studies were summarised. Three of the identified methods were compared in a separate subgroup meta-analysis. Thirty studies assessing seven distinct neuroimaging methods in 1372 patients were included in the systematic review. The highest performing methods in the subgroup analysis were DWI (AUC = 0.93 [0.91-0.95]) and DSC-MRI (AUC = 0.93 [0.90-0.95]), compared to DCE-MRI (AUC = 0.90 [0.87-0.93]). 18F-fluoroethyltyrosine PET (18F-FET PET) and amide proton transfer-weighted MRI (APTw-MRI) also showed high diagnostic accuracy, but results were based on few low-powered studies. Both DWI and DSC-MRI performed with high sensitivity and specificity for differentiating PsP from TTP. Considering the technical parameters and feasibility of each identified method, the authors suggested that, at present, DSC-MRI technique holds the most clinical potential.
Topics: Brain Neoplasms; Glioma; Humans; Magnetic Resonance Imaging; Sensitivity and Specificity; Treatment Outcome
PubMed: 35918373
DOI: 10.1038/s41598-022-16726-x