Incidence, risk factors, and outcomes of venous thromboembolism after oncologic surgery: A systematic review and meta-analysis

2019 ◽  
Vol 173 ◽  
pp. 48-56 ◽  
Author(s):  
Mao Li ◽  
Qiang Guo ◽  
Weiming Hu
BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049866
Author(s):  
Chenghui Zhou ◽  
Baohui Lou ◽  
Hui Li ◽  
Xin Wang ◽  
Hushan Ao ◽  
...  

IntroductionEmerging evidence has shown that COVID-19 infection may result in right ventricular (RV) disturbance and be associated with adverse clinical outcomes. The aim of this meta-analysis is to summarise the incidence, risk factors and the prognostic effect of imaging RV involvement in adult patients with COVID-19.MethodsA systematical search will be performed in PubMed, EMBase, ISI Knowledge via Web of Science and preprint databases (MedRxiv and BioRxiv) (until October 2021) to identify all cohort studies in adult patients with COVID-19. The primary outcome will be the incidence of RV involvement (dysfunction and/or dilation) assessed by echocardiography, CT or MRI. Secondary outcomes will include the risk factors for RV involvement and their association with all-cause mortality during hospitalisation. Additional outcomes will include the RV global or free wall longitudinal strain (RV-GLS or RV-FWLS), tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC) and RV diameter. Univariable or multivariable meta-regression and subgroup analyses will be performed for the study design and patient characteristics (especially acute or chronic pulmonary embolism and pulmonary hypertension). Sensitivity analyses will be used to assess the robustness of our results by removing each included study at one time to obtain and evaluate the remaining overall estimates of RV involvement incidence and related risk factors, association with all-cause mortality, and other RV parameters (RV-GLS or RV-FWLS, TAPSE, S’, FAC and RV diameter). Both linear and cubic spline regression models will be used to explore the dose–response relationship between different categories (>2) of RV involvement and the risk of mortality (OR or HR).Ethics and disseminationThere was no need for ethics approval for the systematic review protocol according to the Institutional Review Board/Independent Ethics Committee of Fuwai Hospital. This meta-analysis will be disseminated through a peer-reviewed journal for publication.PROSPERO registration numberCRD42021231689.


Surgery Today ◽  
2021 ◽  
Author(s):  
Nikoletta A. Theochari ◽  
Christina A. Theochari ◽  
Damianos G. Kokkinidis ◽  
Aristotelis Kechagias ◽  
Orestis Lyros ◽  
...  

2020 ◽  
Author(s):  
Paddy Ssentongo ◽  
Joseph A. Lewcun ◽  
Anna E. Ssentongo ◽  
David I. Soybel

Abstract Background Early postoperative hyperglycemia is common and associated with poor postoperative outcomes. We aimed to estimate the pooled incidence, risk factors and clinical outcomes of early postoperative hyperglycemia in men and women globally. Method and analysis We will conduct a systematic review and meta-analysis of cohort studies published before January 1, 2020, reporting the incidence of postoperative hyperglycemia. We will search the following databases: PubMed (MEDLINE), Scopus, EMBASE, Cochrane Library, OVID (HEALTH STAR), OVID (MEDLINE), Joana Briggs Institute EBF Database and Web of Science. No age, geographical location, study-design or language limits will be applied. This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Two reviewers (JAL, AES) will independently screen citations, abstracts and will identify full-text articles for inclusion, extract data and evaluate the quality and bias of included studies. Discrepancies will be resolved by consensus or consultation with a third researcher (PS). The risk of bias of included studies will be evaluated by the appropriate Cochrane risk of bias tool. The primary outcome will be the overall incident rate of postoperative hyperglycemia. Secondary outcomes are the risk factors and clinical outcomes of postoperative hyperglycemia. We will use the random-effects model with a logit transformation of proportions for the pooling of studies. We will assess the between-study heterogeneity using the I 2 statistic, and Cochrane’s Q statistic (significance level < 0.05). We will perform subgroup meta-analyses to look at geographical differences in the incidence of postoperative hyperglycemia and conduct a meta-regression analysis, using study level median age, year of publication, study level gender proportions, the proportion of type 2 diabetes, mean body mass index, American Society of Anesthesiologists and type of surgical procedure. We will report the probability of postoperative hyperglycemia as a measure of incidence rate, relative risk ratios (RR) and 95% confidence intervals to report the effects of the risk factors and postoperative outcomes. The Egger’s test and funnel plots will be used to assess publication bias.


2020 ◽  
Vol 14 (5) ◽  
pp. 621-637 ◽  
Author(s):  
Yanyan Wu ◽  
Hongyu Li ◽  
Xiaozhong Guo ◽  
Eric M. Yoshida ◽  
Nahum Mendez-Sanchez ◽  
...  

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