scholarly journals The Prognostic Value of Body Mass Index in Patients With Urothelial Carcinoma After Surgery: A Systematic Review and Meta-Analysis

Dose-Response ◽  
2020 ◽  
Vol 18 (4) ◽  
pp. 155932582097924
Author(s):  
Zhiqiang Yang ◽  
Yunjin Bai ◽  
Xu Hu ◽  
Xiaoming Wang ◽  
Ping Han

Background: The clinical evidence of body mass index (BMI) for survival has increased in urothelial carcinoma (UC). This study aimed to investigate the prognostic value of BMI on the oncologic outcomes of patients with UC after surgery. Methods: The systematic review and meta-analysis was performed using Pubmed, Embase and Cochrane Library. We collected hazard ratio (HR) and 95% confidence interval (CI) on cancer specific survival (CSS), overall survival (OS) and recurrence-free survival (RFS) from the studies including upper tract urothelial carcinoma (UTUC) and urothelial carcinoma of bladder (UCB). Results: A total of 13 studies comprising over 12,200 patients were enrolled in the quantitative synthesis. Compared with normal weight, overweight was associated with better CSS (HR = 0.87, 95% CI: 0.79-0.95) and RFS (HR = 0.86, 95% CI: 0.78-0.96). Meanwhile, we found that obese patients had worse CSS (HR = 1.14, 95%CI: 1.03-1.26), OS (HR = 1.31, 95% CI: 1.19-1.44) and RFS (HR = 1.24, 95% CI: 1.12-1.37). We observed that underweight was associated with inferior CSS (HR = 1.87, 95% CI: 1.54-2.26) in UTUC patients. Conclusions: Overweight was a protective factor for patients with UC after surgery, while obesity and underweight predicted unfavorable survival. Individual BMI may be considered for prognostication after surgeries and patient stratification for clinical trials.

2020 ◽  
Vol 25 (8) ◽  
pp. 1459-1474 ◽  
Author(s):  
Keiichiro Mori ◽  
Noriyoshi Miura ◽  
Hadi Mostafaei ◽  
Fahad Quhal ◽  
Reza Sari Motlagh ◽  
...  

Abstract This systematic review and meta-analysis aimed to assess the prognostic value of preoperative hematologic biomarkers in patients with urothelial carcinoma of the bladder treated with radical cystectomy. PUBMED, Web of Science, Cochrane Library, and Scopus databases were searched in September 2019 according to the Preferred Reporting Items for Systematic Review and Meta-analysis statement. Studies were deemed eligible if they compared cancer-specific survival in patients with urothelial carcinoma of the bladder with and without pretreatment laboratoryabnormalities. Formal meta-analyses were performed for this outcome. The systematic review identified 36 studies with 23,632 patients, of these, 32 studies with 22,224 patients were eligible for the meta-analysis. Several preoperative hematologic biomarkers were significantly associated with cancer-specific survival as follows: neutrophil − lymphocyte ratio (pooled hazard ratio [HR]: 1.20, 95% confidence interval [CI]: 1.11–1.29), hemoglobin (pooled HR: 0.87, 95% CI 0.82–0.94), C-reactive protein (pooled HR: 1.44, 95% CI 1.26–1.66), De Ritis ratio (pooled HR: 2.18, 95% CI 1.37–3.48), white blood cell count (pooled HR: 1.05, 95% CI 1.02–1.07), and albumin-globulin ratio (pooled HR: 0.26, 95% CI 0.14–0.48). Several pretreatment laboratory abnormalities in patients with urothelial carcinoma of the bladder were associated with cancer-specific mortality. Therefore, it might be useful to incorporate such hematologic biomarkers into prognostic tools for urothelial carcinoma of the bladder. However, given the study limitations including heterogeneity and retrospective nature of the primary data, the conclusions should be interpreted with caution.


BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e017144 ◽  
Author(s):  
Jennette P Moreno ◽  
Lydi-Anne Vézina-Im ◽  
Elizabeth M Vaughan ◽  
Tom Baranowski

IntroductionIn previous studies, it has been found that on average, children consistently gained weight during the summer months at an increased rate compared with the 9-month school year. This contributed to an increased prevalence of overweight and obesity in children. Several obesity-related interventions have occurred during or targeting the summer months. We propose to conduct a systematic review and meta-analysis of the impact of obesity prevention and treatment interventions for school-age children conducted during the summer or targeting the summer months when children are not in school on their body mass index (BMI), or weight-related behaviours.Methods and analysesA literature search will be conducted by the first author (JPM) using MEDLINE/PubMed, Cochrane Library, Scopus, CINAHL, PsycINFO, EMBASE and Proquest Dissertations and Theses databases from the date of inception to present. Studies must examine interventions that address the modification or promotion of weight-related behaviours (eg, dietary patterns, eating behaviours, physical activity (PA), sedentary behaviour or sleep) and target school-age children (ages 5–18). The primary outcomes will be changes from baseline to postintervention and/or the last available follow-up measurement in weight, BMI, BMI percentile, standardised BMI or per cent body fat. Secondary outcomes will include changes in dietary intake, PA, sedentary behaviour or sleep. Risk of bias will be assessed using the Cochrane risk of bias tool for randomised and non-randomised studies, as appropriate.Ethics and disseminationBecause this is a protocol for a systematic review, ethics approval will not be required. The findings will be disseminated via presentations at scientific conferences and published in a peer-reviewed journal. All amendments to the protocol will be documented and dated and reported in the PROSPERO trial registry.PROSPERO registration numberCRD42016041750


2018 ◽  
Vol 25 (7) ◽  
pp. 389-401 ◽  
Author(s):  
Jen-Wu Huang ◽  
Yi-Ying Lin ◽  
Nai-Yuan Wu

Object The purpose of this study was to evaluate the clinical effectiveness of telemedicine on changes in body mass index for overweight and obese people as well as for diabetes and hypertension patients. Methods A systematic review of articles published before 31 August 2014, was conducted using searches of Medline, Cochrane Library, EMBASE, and CINAHL Plus. The inclusion criteria were randomised controlled trials that compared telemedicine interventions with usual care or standard treatment in adults and reported a change in body mass index. A meta-analysis was conducted for eligible studies, and the primary outcome was a change in body mass index. Subgroup analysis was performed for the type of telemedicine, main purpose of intervention, and length of intervention. Results Twenty-five randomised controlled trials comprising 6253 people were included in the qualitative and quantitative analyses. The length of intervention ranged from nine weeks to two years. The meta-analysis revealed significant differences in body mass index changes (pooled difference in means = –0.49, 95% confidence interval –0.63 to –0.34, p < 0.001) between the telemedicine and control groups. The subgroup analyses found that either Internet-based or telephone-based intervention was associated with greater changes in body mass index than in controls. Telemedicine intervention was effective in improving body mass index whether it was used for diabetes control, hypertension control, weight loss, or increasing physical activity and was also effective for people with and without diabetes or hypertension. However, only interventions with a duration ≥ 6 months significantly decreased body mass index compared to controls. Conclusion Both patients with chronic disease and overweight/obese people could benefit from telemedicine interventions. We suggest that an effective telemedicine approach should be longer than six months and emphasise the importance of post-interventional follow-ups.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A28-A29
Author(s):  
Khulood Bukhari ◽  
Huei-Kai Huang ◽  
Duan-Pei Hung ◽  
Carol Chiung-Hui Peng ◽  
Ming-Chieh Shih ◽  
...  

Abstract Introduction: Several studies have linked obesity to more severe illness and higher mortality in COVID-19 patients. However, the relationship between being underweight and COVID-19 mortality remains inconclusive. Previous dose-response meta-analyses did not enroll or specifically analyze the underweight population. Herein, we conducted a systematic review and dose-response meta-analysis to investigate the relationship between body mass index (BMI) and mortality in both obese and underweight patients with COVID-19. Methods: We searched PubMed, Embase, Cochrane Library, Scopus, and Web of Science databases from inception until August 12, 2020 using the keywords “COVID-19,” “body mass index,” “obesity,” “overweight”, and “underweight.” Three reviewers independently assessed the relevant articles, including the title, abstract, and full text, to identify eligible studies. We performed a two-stage random-effects dose-response meta-analysis, including only studies with at least three quantitative classifications for BMI. The nonlinear trend was evaluated using a restricted cubic splines model with three-knots at the 10th, 50th, and 90th percentiles. A sensitivity analysis was conducted by pooling only those studies which specifically evaluated underweight patients (BMI&lt;18.5 kg/m2). Results: Thirteen studies comprising 25,828 patients were included in the analysis. In the linear model, the mortality of patients with COVID-19 increased by 1.5% for each 1-kg/m2 increase in BMI (pooled relative risk [RR] =1.015, 95% confidence interval [CI] =1.004−1.027). However, a significant non-linear relationship between BMI and mortality was observed (Wald test: Pnon-linearity&lt;0.001). We demonstrated a J-shaped curve, indicating that both underweight and obese patients had a higher mortality than those with normal weight. Interestingly, overweight patients (BMI, 25−30 kg/m2) seemed to have the lowest mortality risk. Using a BMI of 15 kg/m2 as the reference, the RRs of mortality decreased with BMI, and this trend continued until BMI of approximately 28 kg/m2 (RR=0.743, 95% CI=0.576−0.959). The relationship between BMI and mortality was then reversed, and an upward trend was observed when BMI exceeded 30 kg/m2; the RRs (95% CI) at BMIs 30, 35, 40, and 45 kg/m2 were 0.745 (0.570−0.974), 0.841 (0.643−1.100), 1.082 (0.850−1.377), and 1.457 (1.129−1.879), respectively. Conclusion: This study is the first dose-response meta-analysis that showed both underweight and obese COVID-19 patients are at higher risk of increased mortality. A J-curve relationship was demonstrated between BMI and COVID-19 mortality.


2019 ◽  
Vol 25 (4) ◽  
pp. 439-451 ◽  
Author(s):  
Nathalie Sermondade ◽  
Stéphanie Huberlant ◽  
Vanessa Bourhis-Lefebvre ◽  
Elisangela Arbo ◽  
Vanessa Gallot ◽  
...  

Abstract BACKGROUND A worldwide increase in the prevalence of obesity has been observed in the past three decades, particularly in women of reproductive age. Female obesity has been clearly associated with impaired spontaneous fertility, as well as adverse pregnancy outcomes. Increasing evidence in the literature shows that obesity also contributes to adverse clinical outcomes following in vitro fertilization (IVF) procedures. However, the heterogeneity of the available studies in terms of populations, group definition and outcomes prevents drawing firm conclusions. A previous meta-analysis published in 2011 identified a marginal but significant negative effect of increased female body mass index (BMI) on IVF results, but numerous studies have been published since then, including large cohort studies from national registries, highlighting the need for an updated review and meta-analysis. OBJECTIVE AND RATIONALE Our systematic review and meta-analysis of the available literature aims to evaluate the association of female obesity with the probability of live birth following IVF. Subgroup analyses according to ovulatory status, oocyte origin, fresh or frozen-embryo transfer and cycle rank were performed. SEARCH METHODS A systematic review was performed using the following key words: (‘obesity’, ‘body mass index’, ‘live birth’, ‘IVF’, ‘ICSI’). Searches were conducted in MEDLINE, EMBASE, Cochrane Library, Eudract and clinicaltrial.gov from 01 January 2007 to 30 November 2017. Study selection was based on title and abstract. Full texts of potentially relevant articles were retrieved and assessed for inclusion by two reviewers. Subsequently, quality was assessed using the Newcastle-Ottawa Quality Assessment Scales for patient selection, comparability and assessment of outcomes. Two independent reviewers carried out study selection and data extraction according to Cochrane methods. Random-effect meta-analysis was performed using Review Manager software on all data (overall analysis), followed by subgroup analyses. OUTCOMES A total of 21 studies were included in the meta-analysis. A decreased probability of live birth following IVF was observed in obese (BMI ≥ 30 kg/m2) women when compared with normal weight (BMI 18.5–24.9 kg/m2) women: risk ratio (RR) (95% CI) 0.85 (0.82–0.87). Subgroups analyses demonstrated that prognosis was poorer when obesity was associated with polycystic ovary syndrome, while the oocyte origin (donor or non-donor) did not modify the overall interpretation. WIDER IMPLICATIONS Our meta-analysis clearly demonstrates that female obesity negatively and significantly impacts live birth rates following IVF. Whether weight loss can reverse this deleterious effect through lifestyle modifications or bariatric surgery should be further evaluated.


2020 ◽  
Author(s):  
Zhiqiang Yang ◽  
Yujin Bai ◽  
Xu Hu ◽  
Ping Han

Abstract Background: Tumor-infiltrating lymphocytes (TILs) in the tumor microenvironment are associated with different prognosis in various malignancies. However, their prognostic impact remains controversial in urothelial carcinoma of bladder (UCB). In this systematic review and meta-analysis, we aimed to investigate the prognostic value of TILs in UCB patients.Methods: A systematic review and meta-analysis was performed using Pubmed, Embase and Cochrane Library. Studies were eligible if they investigated the prognostic value of CD3+, CD4+, CD8+, Foxp3+ lymphocytes or TILs in UCB patients, by time-to-event survival analysis. All studies were appraised for risk of bias using the Quality and Prognosis Studies (QUIPS) criteria. Hazard rations (HRs) with their 95% confidence interval (CIs) from each study were used to generate pooled HRs. Results: A total of 14 studies assessing the impact of TILs on prognostic outcomes in UCB patients were included in final analysis. The pooled analysis indicated a favorable role of CD3+ TILs (HR 0.74 (95% CI 0.62-0.88) for overall survival) and CD8+ TILs (HR 0.46 (95% CI 0.28-0.74) for OS) in the clinical outcomes of UCB, while Foxp3+ TILs were associated with worse survival (HR 2.21 (95% CI 1.47-3.32) for recurrence-free survival). Conclusions: This systematic review and meta-analysis confirmed the favorable prognostic impact of CD3+ and CD8+ tumor-infiltrating T cells in UCB patients and found the association between Foxp3+ TILs and worse survival. Future studies using large cohorts and standardized methodology with regard to tumor subsites, stages and treatment modalities are needed to incorporate TILs with clinical practice.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Liangyou Gu ◽  
Qing Ai ◽  
Qiang Cheng ◽  
Xin Ma ◽  
Baojun Wang ◽  
...  

Abstract Background A systematic review and meta-analysis was performed to compare the clinicopathological features and survival outcomes between sarcomatoid variant (SV)-urothelial carcinoma of the bladder (UCB) and conventional UCB (C-UCB). Methods A comprehensive search of PubMed, Embase, and Cochrane Library was performed. Endpoints included clinicopathological features and survival outcomes (overall survival [OS], cancer-specific survival [CSS], and progression-free survival [PFS]). The survival benefits of neoadjuvant chemotherapy (NAC) or adjuvant chemotherapy (AC) for SV-UCB also have been studied. Results A total of 8 observational studies were included. Patients with SV-UCB had a higher rate of ≥ stage pT3 (odds ratio [OR], 2.06; 95% confidence interval [CI], 1.64–2.59; p < 0.001) and a lower rate of concomitant carcinoma in situ (OR, 0.25; 95% CI, 0.09–0.72; p = 0.010). The other clinicopathological variables were similar between SV-UCB and C-UCB. With unadjusted data, patients with SV-UCB had a significant inferior OS (HR, 1.24; 95% CI, 1.07–1.44; p = 0.004) and CSS (HR, 2.08; 95% CI, 1.63–2.66; p < 0.001). However, after adjusted, SV-UCB had worse OS (HR, 1.41; 95% CI, 0.95–2.08; p = 0.090) and CSS (HR, 1.54; 95% CI, 0.95–2.52; p = 0.080) approaching the borderline of significance. For SV-UCB, NAC (HR, 0.73; 95% CI, 0.51–1.05; p = 0.090) and AC (HR, 0.88; 95% CI, 0.66–1.17; p = 0.370) seemed to have no benefit on OS. Conclusions Compared to C-UCB, SV-UCB was associated with more advanced disease and more inferior OS and CSS. NAC and AC had no survival benefit for SV-UCB.


2020 ◽  
Author(s):  
Akibul Islam Chowdhury ◽  
Md. Fazley Rabbi ◽  
Tanjina Rahman ◽  
Sompa Reza ◽  
Mohammad Rahanur Alam

AbstractIntroductionCOVID-19 pandemic has caused havoc worldwide, and different comorbidities have been seen to exacerbate the condition. Obesity is one of the leading comorbidities, which is associated with many other diseases. In this paper, we present a systematic review and meta-analysis estimating the effects of overweight and obesity on COVID-19 disease severity.MethodologyTwo electronic databases (Medline and Cochrane library) and one grey literature database (Grey Literature Report) were searched using the following keywords: overweight, obesity, body mass index, respiratory disease, coronavirus, COVID-19. The risks of bias of the selected studies were assessed by using the Navigation Guide method for human data. Both random and fixed effect meta-analysis were determined using Review Manager (RevMan) software version 5.4.ResultsAfter initial screening, 12 studies (7 cohort studies, four case-control studies, and one cross-sectional study) were fulfilled the eligibility criteria, comprising a total of 405359 patients and included in the systematic review. The pooled risk of disease severity was 1.31 times higher based on both fixed and random effect model among those overweight patients, I2 0% and 2.09 and 2.41 times higher based on fixed and random effect respectively among obese patients, I2 42% compared to healthy individuals.ConclusionOverweight and obesity are common risk factors for disease severity of COVID-19 patients. However, further assessment of metabolic parameters included BMI, waist-hip ratio, and insulin levels, are required to estimate the risk factors of COVID-19 patients and understanding the mechanism between COVID-19 and body mass index.


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