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Institution

Clinical Trial Service Unit

About: Clinical Trial Service Unit is a based out in . It is known for research contribution in the topics: Population & Stroke. The organization has 428 authors who have published 1387 publications receiving 181920 citations.


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Journal ArticleDOI
TL;DR: The aim of the present study was to determine how MetS contributes to short‐ (30‐day) and long‐term complications and restenosis after carotid endarterectomy (CEA) or stenting (CAS).
Abstract: AIMS The metabolic syndrome (MetS) is composed of a cluster of related cardiovascular risk factors. The aim of the present study was to determine how MetS contributes to short- (30-day) and long-term complications and restenosis after carotid endarterectomy (CEA) or stenting (CAS). METHODS A consecutive cohort of 752 patients undergoing CEA (n = 314) and CAS (n = 438) in a single institution was examined, of which 296 (39.4%) were identified as having MetS. All patients were followed-up with carotid duplex ultrasound scan of the supraaortic vessels and a neurological assessment of symptoms status at 30-day postprocedure and at 3, 6, and 12 months, with annual follow-up thereafter for 3 years. RESULTS Patients with MetS had a significant increased risk in their 30-day death, major adverse events (MAE), and restenosis rates, both after CEA and after CAS (death: 0.7% vs 0.0%; MAE: 5.3% vs 2.7%; and restenosis: 1.7% vs 0.2%; p < 0.05). The MAE and restenosis rates remained statistically different at 36 months, with both procedures (29.2% vs 24.2% and 9.5% vs 3.3%, p < 0.05, for patients with and without MetS, respectively). Among the components of MetS, high fasting serum glucose, low high-density lipoprotein cholesterol, and elevated body mass index were associated with increased risk of complications at 30 days and within 36 months. CONCLUSIONS The current study suggested that the presence of MetS is an important risk factor for morbidity and restenosis after CEA and CAS.

11 citations

Journal Article
Abstract: BACKGROUND: Zidovudine (AZT) monotherapy was the first antiretroviral drug to be tested widely. The next two drugs to be developed were didanosine (ddI) and zalcitabine (ddC). OBJECTIVES: To assess the effects of zidovudine (AZT), zidovudine plus didanosine (ddI) and zidovudine plus zalcitabine (ddC) on HIV disease progression and survival. SEARCH STRATEGY: Investigators and pharmaceutical companies were contacted, and MEDLINE searches were supplemented by searching conference abstracts. SELECTION CRITERIA: Randomised controlled trials comparing any two of AZT plus ddI, AZT plus ddC or AZT alone in participants with or without AIDS which collected information on deaths and new AIDS events. DATA COLLECTION AND ANALYSIS: Individual patient data with, wherever possible, follow-up obtained beyond that previously published were obtained and checked for internal consistency and consistency with any published reports; any apparent discrepancies were resolved with the trialists. Time to death and to disease progression (defined as a new AIDS-defining event or prior death) were analysed on an intention to treat basis, stratified to avoid direct comparisons between participants in different trials. MAIN RESULTS: Six trials were included in the meta-analysis. During a median follow-up of 29 months, 2904 individuals progressed, of whom 1850 died. The addition of ddI to AZT delayed both progression (RR 0.74; 95% CI 0.67 to 0.82, P<0.0001) and death (RR 0.72; 95% CI 0.64 to 0.82, P<0.0001). Likewise, the addition of ddC to AZT also delayed progression (RR 0. 86; 95% CI 0.78 to 0.94, P=0.001) and death (RR 0.87; 95% CI 0.77 to 0.98, P=0.02). After 3 years the estimated percentages alive and without a new AIDS event were 53% for AZT+ddI, 49% for AZT+ddC and 44% for AZT alone; the percentages alive were 68%, 63% and 59% respectively. Five of the six trials involved randomised comparisons of AZT+ddI versus AZT+ddC: in these, the AZT+ddI regimen had greater effects on disease progression (P=0.004) and death (P=0.009). REVIEWER'S CONCLUSIONS: The use of ddI and, to a lesser extent, ddC delayed both HIV disease progression and death, at least when added to AZT.

11 citations

Journal ArticleDOI
TL;DR: In this article, a systematic search of PubMed and EMBASE for risk prediction models for atrial fibrillation (AF) is carried out to identify individuals at high risk of stroke.
Abstract: Aims: Atrial fibrillation (AF) is associated with higher risk of stroke. While the prevalence of AF is low in the general population, risk prediction models might identify individuals for selective screening of AF. We aimed to systematically identify and compare the utility of established models to predict prevalent AF. Methods: Systematic search of PubMed and EMBASE for risk prediction models for AF. We adapted established risk prediction models and assessed their predictive performance using data from 2.5M individuals who attended vascular screening clinics in the United States and the United Kingdom and in the subset of 1.2M individuals with CHA2DS2-VASc ≥2. We assessed discrimination using area under the receiver operating characteristic (AUROC) curves and agreement between observed and predicted cases using calibration plots. Results: After screening 6959 studies, 14 risk prediction models were identified. In our cohort, 10,464 (0.41%) participants had AF. For discrimination, six prediction model had AUROC curves of 0.70 or above in all individuals and those with CHA2DS2-VASc ≥2. In these models, calibration plots showed very good concordance between predicted and observed risks of AF. The two models with the highest observed prevalence in the highest decile of predicted risk, CHARGE-AF and MHS, showed an observed prevalence of AF of 1.6% with a number needed to screen of 63. Selective screening of the 10% highest risk identified 39% of cases with AF. Conclusion: Prediction models can reliably identify individuals at high risk of AF. The best performing models showed an almost fourfold higher prevalence of AF by selective screening of individuals in the highest decile of risk compared with systematic screening of all cases. Registration: This systematic review was registered (PROSPERO CRD42019123847).

11 citations

Journal ArticleDOI
TL;DR: General and central obesity were risk factors for major chronic disease among Chinese adults and underweight and obesity were both associated with risk of all-cause mortality.
Abstract: Objective: To examine the association of BMI with major chronic diseases morbidity and all-cause mortality in Chinese adults. Methods: This study is based on China Kadoorie Biobank. Anthropometric indexes were objectively measured at the baseline survey during 2004-2008. After excluding participants with heart disease, stroke, cancer, COPD and diabetes, 428 113 participants aged 30 to 79 years were included in the analysis. Cox regression models were used to investigate the associations of BMI and waist circumference with incidence of major chronic diseases (including cardiovascular disease, cancer, COPD, and type 2 diabetes) and all-cause mortality. Results: Over an average of 10 years, 131 454 participants developed any one of major chronic diseases. A total of 26 892 all-cause deaths were reported. The risk of major chronic diseases increased with BMI. Compared with normal BMI (18.5-24.0 kg/m(2)), the HR (95%CI) of overweight (BMI 24.0-28.0 kg/m(2)) and obesity (BMI≥28.0 kg/m(2)) were 1.26 (95%CI: 1.24-1.27) and 1.59 (95%CI: 1.57-1.62) respectively. Underweight and obesity were both associated with risk of all-cause mortality. Waist circumference was positively associated with risk of major chronic diseases and all-cause mortality. According to recommended cut-off points of BMI and waist circumference for Chinese adults, maintaining a healthy body weight would prevent 12% incident cases of major chronic diseases. Conclusion: General and central obesity were risk factors for major chronic disease among Chinese adults.

11 citations


Authors

Showing all 428 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Richard Peto183683231434
Cornelia M. van Duijn1831030146009
Rory Collins162489193407
Naveed Sattar1551326116368
Timothy J. Key14680890810
John Danesh135394100132
Andrew J.S. Coats12782094490
Valerie Beral11447153729
Mike Clarke1131037164328
Robert Clarke11151290049
Robert U. Newton10975342527
Richard Gray10980878580
Braxton D. Mitchell10255849599
Naomi E. Allen10136437057
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2021136
2020116
2019122
201894
2017106
201688