scholarly journals Risk of Thrombo-Embolic Events in Ovarian Cancer: Does Bevacizumab Tilt the Scale? A Systematic Review and Meta-Analysis

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4603
Author(s):  
Michael Saerens ◽  
Emiel A. De Jaeghere ◽  
Heini Kanervo ◽  
Nele Vandemaele ◽  
Hannelore Denys ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Venous Thromboembolism ◽  
Cancer Patients ◽  
Absolute Risk ◽  
Meta Analysis ◽  
Additional Risk Factor ◽  
The Absolute

Thromboembolic events are the second cause of death in cancer patients. In ovarian cancer, 3–10% of patients present with venous thromboembolism (VTE), but the incidence may rise to 36% along the disease course. Bevacizumab is a monoclonal antibody directed against vascular endothelial-derived growth factor, and in in vitro studies it showed a predisposition to hemostasis perturbation, including thrombosis. However, in vivo and clinical studies have shown conflicting results for its use as a treatment for ovarian cancer, so we conducted a systematic review and meta-analysis on the risk of arterial thromboembolism (ATE) and VTE in ovarian cancer patients treated with bevacizumab. The review comprised 14 trials with 6221 patients: ATE incidence was reported in 5 (4811 patients) where the absolute risk was 2.4% with bevacizumab vs. 1.1% without (RR 2.45; 95% CI 1.27–4.27, p = 0.008). VTE incidence was reported in 9 trials (5121 patients) where the absolute risk was 5.4% with bevacizumab vs. 3.7% without (RR 1.32; 95% CI 1.02–1.79, p = 0.04). Our analysis showed that the risk of arterial and venous thromboembolism increased in patients treated with bevacizumab. Thrombolic events (TEs) are probably underreported, and studies should discriminate between ATE and VTE. Bevacizumab can be considered as an additional risk factor when selecting patients for primary prophylaxis with anticoagulants.

scholarly journals Glycemic Index of Gluten-Free Bread and Their Main Ingredients: A Systematic Review and Meta-Analysis

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 506
Author(s):  
Bernardo Romão ◽  
Ana Luísa Falcomer ◽  
Gabriela Palos ◽  
Sandra Cavalcante ◽  
Raquel Braz Assunção Botelho ◽  
...  
Keyword(s):  
Systematic Review ◽  
Glycemic Index ◽  
Resistant Starch ◽  
Web Of Science ◽  
Meta Analysis ◽  
Gluten Free ◽  
Inclusion Criteria ◽  
Glycemic Profile

This study aimed to perform a systematic review and meta-analysis of the glycemic index (GI) of gluten-free bread (GFB) and its main ingredients. The systematic review followed PRISMA guidelines, using seven electronic databases (PubMed, EMBASE, Scopus, Science Direct, Web of Science, gray literature research with Google Scholar, and patents with Google Patent tool), from inception to November 2020. Eighteen studies met the inclusion criteria evaluating 132 GFB samples. Five articles tested GI in vivo, eleven in vitro; and two studies tested both methods. The analysis showed that 60.7% (95% CI: 40.2–78.1%) of the samples presented high glycemic indexes, evidencing a high glycemic profile for GFB. Only 18.2% (95% CI: 11.7–27.2%) of the bread samples presented in the studies were classified as a low GI. Meta-analysis presented moderate/low heterogenicity between studies (I2 = 61% and <1% for both high and low GIs) and reinforced the proportion of high GIs. Lower GIs were found in formulations based on Colocasia esculenta flour or enriched with fiber, yogurt and curd cheese, sourdough, psyllium, hydrocolloids, enzymes, fructans, and resistant starch, highlighting the efficacy of these ingredients to lower GFBs’ GI. GFB tends to present high GI, impacting the development of chronic diseases when consumed.

scholarly journals Factors predict postoperative morbidity in advanced stage ovarian cancer patients who underwent cytoreductive surgery: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Malika Kengsakul ◽  
Gatske M. Nieuwenhuyzen-de Boer ◽  
Suwasin Udomkarnjananun ◽  
Stephen J. Kerr ◽  
Christa D. Niehot ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Cancer Patients ◽  
Cytoreductive Surgery ◽  
Postoperative Morbidity ◽  
Meta Analysis ◽  
Advanced Stage

Green tea for ovarian cancer prevention and treatment: A systematic review of the in vitro, in vivo and epidemiological studies

2012 ◽  
Vol 126 (3) ◽  
pp. 491-498 ◽  
Author(s):  
Dominique Trudel ◽  
David P. Labbé ◽  
Isabelle Bairati ◽  
Vincent Fradet ◽  
Laurent Bazinet ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Cancer Prevention ◽  
Green Tea ◽  
Epidemiological Studies ◽  
Prevention And Treatment

scholarly journals The Khorana score for prediction of venous thromboembolism in cancer patients: a systematic review and meta-analysis

Haematologica ◽  
2019 ◽  
Vol 104 (6) ◽  
pp. 1277-1287 ◽  
Author(s):  
Frits I. Mulder ◽  
Matteo Candeloro ◽  
Pieter W. Kamphuisen ◽  
Marcello Di Nisio ◽  
Patrick M. Bossuyt ◽  
...  
Keyword(s):  
Systematic Review ◽  
Venous Thromboembolism ◽  
Cancer Patients ◽  
Meta Analysis

scholarly journals Prognostic prediction models for pregnancy complications in women with gestational diabetes: a protocol for systematic review, critical appraisal and meta-analysis

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Shamil D. Cooray ◽  
Jacqueline A. Boyle ◽  
Georgia Soldatos ◽  
Lihini A. Wijeyaratne ◽  
Helena J. Teede
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Gestational Diabetes ◽  
Pregnancy Complications ◽  
Prediction Models ◽  
Absolute Risk ◽  
Meta Analysis ◽  
External Validation ◽  
The Absolute ◽  
Prognostic Prediction

Abstract Background Gestational diabetes (GDM) is increasingly common and has significant implications during pregnancy and for the long-term health of the mother and offspring. However, it is a heterogeneous condition with inter-related factors including ethnicity, body mass index and gestational weight gain significantly modifying the absolute risk of complications at an individual level. Predicting the risk of pregnancy complications for an individual woman with GDM presents a useful adjunct to therapeutic decision-making and patient education. Diagnostic prediction models for GDM are prevalent. In contrast, prediction models for risk of complications in those with GDM are relatively novel. This study will systematically review published prognostic prediction models for pregnancy complications in women with GDM, describe their characteristics, compare performance and assess methodological quality and applicability. Methods Studies will be identified by searching MEDLINE and Embase electronic databases. Title and abstract screening, full-text review and data extraction will be completed independently by two reviewers. The included studies will be systematically assessed for risk of bias and applicability using appropriate tools designed for prediction modelling studies. Extracted data will be tabulated to facilitate qualitative comparison of published prediction models. Quantitative data on predictive performance of these models will be synthesised with meta-analyses if appropriate. Discussion This review will identify and summarise all published prognostic prediction models for pregnancy complications in women with GDM. We will compare model performance across different settings and populations with meta-analysis if appropriate. This work will guide subsequent phases in the prognosis research framework: further model development, external validation and model updating, and impact assessment. The ultimate model will estimate the absolute risk of pregnancy complications for women with GDM and will be implemented into routine care as an evidence-based GDM complication risk prediction model. It is anticipated to offer value to women and their clinicians with individualised risk assessment and may assist decision-making. Ultimately, this systematic review is an important step towards a personalised risk-stratified model-of-care for GDM to allow preventative and therapeutic interventions for the maximal benefit to women and their offspring, whilst sparing expense and harm for those at low risk. Systematic review registration PROSPERO registration number CRD42019115223

scholarly journals Enhancement of Chondrogenesis in Hypoxic Precondition Culture: A Systematic Review

2021 ◽  
Vol 9 (F) ◽  
pp. 492-504
Author(s):  
Sholahuddin Rhatomy ◽  
Riky Setyawan ◽  
Michael Aaron Romulo
Keyword(s):  
Systematic Review ◽  
Stem Cells ◽  
Stem Cell ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Oxygen Level ◽  
Hypoxic Precondition ◽  
Online Library

BACKGROUND: Cartilage tear has begun to be treated with stem cells. However, stem cell oxygen level culture has not been evaluated for the best environment to enhance chondrogenesis. AIM: The purpose of this review is to focus on the hypoxic oxygen level of stem cells culture as a treatment for cartilage tear. METHODS: A literature search was systemically conducted on PubMed (MEDLINE), OVID, EMBASE, the Cochrane Library, Scopus, Web of Science, Science Direct, Wiley Online Library, Google Scholar, and bibliography of selected articles with the terms (“culture”) AND (“stem cell” OR “mesenchymal stem cell” OR “MSC”) AND (“hypoxic” OR “hypoxia”) AND (“cartilage” OR “chondro*”) as the main keywords. A total of 438 articles were reviewed. Thirty-six articles were considered relevant for this systematic review. RESULTS: The result of this review supports stimulation effects of hypoxic oxygen level stem cell culture in chondrogenesis process. Most studies used 5% oxygen concentration for culture, both of in vivo and in vitro studies. Due to the heterogeneity nature of the included studies, meta-analysis was unable to be conducted. CONCLUSION: Hypoxia state seems to play an important role in chondrocytes proliferation, differentiation, and matrix production.

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