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91.
Nicole D. Facompre Pavithra Rajagopalan Varun Sahu Alexander T. Pearson Kathleen T. Montone Claire D. James Frederico O. Gleber-Netto Gregory S. Weinstein Jalal Jalaly Alexander Lin Anil K. Rustgi Hiroshi Nakagawa Joseph A. Califano Curtis R. Pickering Elizabeth A. White Bradford E. Windle Iain M. Morgan Roger B. Cohen Phyllis A. Gimotty Devraj Basu 《International journal of cancer. Journal international du cancer》2020,147(11):3236-3249
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Wenjing Tao Miia Artama My von Euler-Chelpin Mark Hull Rickard Ljung Elsebeth Lynge Guðríður H. Ólafsdóttir Eero Pukkala Pål Romundstad Mats Talbäck Laufey Tryggvadottir Jesper Lagergren 《International journal of cancer. Journal international du cancer》2020,147(3):728-735
Obesity is a risk factor for colorectal cancer. Yet, some research indicates that weight-reducing bariatric surgery also increases colorectal cancer risk. Our study was undertaken because current evidence examining bariatric surgery and risk of colorectal cancer is limited and inconsistent. This population-based cohort study included adults with a documented obesity diagnosis in Denmark, Finland, Iceland, Norway or Sweden in 1980–2015. The incidence of colorectal cancer in participants with obesity who had and had not undergone bariatric surgery was compared to the incidence in the corresponding background population by calculating standardized incidence ratios (SIR) with 95% confidence intervals (CI). Additionally, operated and nonoperated participants with obesity were compared using multivariable Cox regression, providing hazard ratios (HR) with 95% CIs adjusted for confounders. Among 502,772 cohort participants with an obesity diagnosis, 49,931(9.9%) underwent bariatric surgery. The overall SIR of colon cancer was increased after bariatric surgery (SIR 1.56; 95% CI 1.28–1.88), with higher SIRs ≥10 years postsurgery. The overall HR of colon cancer in operated compared to nonoperated participants was 1.13 (95% CI 0.92–1.39) and 1.55 (95% CI 1.04–2.31) 10–14 years after bariatric surgery. Bariatric surgery did not significantly increase the risk of rectal cancer (SIR 1.14, 95% CI 0.83–1.52; HR 1.08, 95% CI 0.79–1.49), but the risk estimates increased with longer follow-up periods. Our study suggests that bariatric surgery is associated with an increased risk of colon cancer, while the support for an increased risk of rectal cancer was weaker. 相似文献
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目的本文主要研究和探讨护理干预对放疗科头颈部肿瘤放疗患者生活质量的影响。方法将我院2017年2月份至2018年10月份收治的100例头颈部肿瘤放疗患者作为本次研究的对象,在随机原则的指导下把100例患者分为对照组和实验组,每组患者的数量为50例。对照组患者给予常规护理,实验组患者实施护理干预,对两组患者的生活质量、睡眠质量、护理满意度和护理依从性等进行对比分析。结果在生活质量、睡眠质量、护理满意度和护理依从性等方面,组间进行对比分析,实验组都明显优于对照组,P<0.05差异具有统计学意义。结论对头颈部肿瘤放疗患者实施护理干预可以让患者的生活质量、睡眠质量、护理依从性以及护理满意度等都得到显著的改善,从而让患者以一种积极、乐观的心态接受放疗,这对于放疗效果的提高具有重要的作用。总之,这一护理模式应该在临床中进行推广和使用。 相似文献
98.
观察电针对缺血性脑卒中大鼠记忆功能及脑内突触囊泡蛋白(synaptic vesicular protein,SYN)的影响,探讨其可能的作用机制。方法 选取90 只SD大鼠随机分为模型组、电针组、假手术组,每组各30只。线拴法制作急性大脑中动脉缺血大鼠模型。电针组取“百会”“水沟”“内关”“三阴交”穴位,应用“醒脑开窍”法进行电针,每天电针30 min,连续电针6 d休1 d,7 d为一个疗程,首次电针干预在造模成功24 h后进行。模型组和假手术组不进行电针干预。大鼠分别按7、14、21 d 3个亚组进行运动及记忆功能评分,TTC染色测定脑梗死体积、Western blot检测脑内SYN的蛋白表达。结果 电针组运动功能评分较模型组显著降低(P<0.01),电针组进入隐藏区潜伏期时间较模型组显著缩短(P<0.01),电针组脑梗死率较模型组显著缩小(P<0.01),SYN的蛋白表达电针组较模型组明显增强(P<0.01)。假手术组无神经功能缺损及脑梗死灶,SYN表达最弱。结论 电针干预能减小脑梗死体积,上调脑内SYN的表达,进而促进缺血性脑卒中大鼠的记忆及运动等神经功能的恢复。 相似文献
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Aleks Stolicyn Mathew A. Harris Xueyi Shen Miruna C. Barbu Mark J. Adams Emma L. Hawkins Laura de Nooij Hon Wah Yeung Alison D. Murray Stephen M. Lawrie J. Douglas Steele Andrew M. McIntosh Heather C. Whalley 《Human brain mapping》2020,41(14):3922-3937
Major depressive disorder (MDD) has been the subject of many neuroimaging case–control classification studies. Although some studies report accuracies ≥80%, most have investigated relatively small samples of clinically‐ascertained, currently symptomatic cases, and did not attempt replication in larger samples. We here first aimed to replicate previously reported classification accuracies in a small, well‐phenotyped community‐based group of current MDD cases with clinical interview‐based diagnoses (from STratifying Resilience and Depression Longitudinally cohort, ‘STRADL’). We performed a set of exploratory predictive classification analyses with measures related to brain morphometry and white matter integrity. We applied three classifier types—SVM, penalised logistic regression or decision tree—either with or without optimisation, and with or without feature selection. We then determined whether similar accuracies could be replicated in a larger independent population‐based sample with self‐reported current depression (UK Biobank cohort). Additional analyses extended to lifetime MDD diagnoses—remitted MDD in STRADL, and lifetime‐experienced MDD in UK Biobank. The highest cross‐validation accuracy (75%) was achieved in the initial current MDD sample with a decision tree classifier and cortical surface area features. The most frequently selected decision tree split variables included surface areas of bilateral caudal anterior cingulate, left lingual gyrus, left superior frontal, right precentral and paracentral regions. High accuracy was not achieved in the larger samples with self‐reported current depression (53.73%), with remitted MDD (57.48%), or with lifetime‐experienced MDD (52.68–60.29%). Our results indicate that high predictive classification accuracies may not immediately translate to larger samples with broader criteria for depression, and may not be robust across different classification approaches. 相似文献