PDF(Pubmed)
Abstract：
UNASSIGNED: Monitoring cancer trends in a population is essential for tracking the disease\'s burden, allocating resources, and informing public health policies. This review describes variations in commonly employed methods to estimate colorectal cancer (CRC) incidence trends.
UNASSIGNED: We performed a systematic literature search in four databases to identify population-based studies reporting CRC incidence trends, published between January 2010 and May 2020. We extracted and described data on methods to estimate trends and assess model validity, and the software used.
UNASSIGNED: This review included 145 articles based on studies conducted in five continents. The majority (93%) presented visual summaries of trends combined with absolute, relative, or annual change estimates. Fourteen (10%) articles exclusively calculated the relative change in incidence over a given time interval, presented as the percentage of change in rates. Joinpoint regression analysis was the most commonly used method for assessing incidence trends (n= 65, 45%), providing estimates of the annual percentage change (APC) in rates. Nineteen (13%) studies performed Poisson regression and 18 (12%) linear regression analysis. Age-period-cohort modeling- a type of generalized linear models- was conducted in 18 (12%) studies. Thirty-nine (37%) of the studies modeling incidence trends (n=104, 72%) indicated the method used to evaluate model fitness. The joinpoint program (52%) was the statistical software most commonly used.
UNASSIGNED: This review identified variation in the calculation of CRC incidence trends and inadequate reporting of model fit statistics. Our findings highlight the need for increasing clarity and transparency in reporting methods to facilitate interpretation, reproduction, and comparison with findings from previous studies.
UNASSIGNED: We performed a systematic literature search in four databases to identify population-based studies reporting CRC incidence trends, published between January 2010 and May 2020. We extracted and described data on methods to estimate trends and assess model validity, and the software used.
UNASSIGNED: This review included 145 articles based on studies conducted in five continents. The majority (93%) presented visual summaries of trends combined with absolute, relative, or annual change estimates. Fourteen (10%) articles exclusively calculated the relative change in incidence over a given time interval, presented as the percentage of change in rates. Joinpoint regression analysis was the most commonly used method for assessing incidence trends (n= 65, 45%), providing estimates of the annual percentage change (APC) in rates. Nineteen (13%) studies performed Poisson regression and 18 (12%) linear regression analysis. Age-period-cohort modeling- a type of generalized linear models- was conducted in 18 (12%) studies. Thirty-nine (37%) of the studies modeling incidence trends (n=104, 72%) indicated the method used to evaluate model fitness. The joinpoint program (52%) was the statistical software most commonly used.
UNASSIGNED: This review identified variation in the calculation of CRC incidence trends and inadequate reporting of model fit statistics. Our findings highlight the need for increasing clarity and transparency in reporting methods to facilitate interpretation, reproduction, and comparison with findings from previous studies.
摘要：
未经评估：监测人群中的癌症趋势对于追踪疾病负担至关重要，分配资源，并告知公共卫生政策。这篇综述描述了评估结直肠癌（CRC）发病率趋势的常用方法的变化。
UNASSIGNED：我们在四个数据库中进行了系统的文献检索，以确定报告CRC发病率趋势的基于人群的研究。在2010年1月至2020年5月之间发布。我们提取并描述了估计趋势和评估模型有效性的方法的数据，和使用的软件。
UNASSIGNED：这篇综述包括145篇基于五大洲研究的文章。大多数(93%)呈现了趋势的视觉总结和绝对，相对，或年度变化估计。14篇（10％）文章专门计算了给定时间间隔内发生率的相对变化，以费率变化的百分比表示。Joinpoint回归分析是评估发病率趋势最常用的方法（n=65，45％），提供费率的年度百分比变化(APC)的估计。19项（13％）研究进行了泊松回归分析和18项（12％）线性回归分析。在18项（12％）研究中进行了年龄-队列建模-一种广义线性模型。39项（37％）对发生率趋势进行建模的研究（n=104，72％）表明了用于评估模型适合度的方法。连接点程序（52％）是最常用的统计软件。
UNASSIGNED：本综述确定了CRC发病率趋势计算的差异和模型拟合统计数据的报告不足。我们的研究结果强调需要提高报告方法的清晰度和透明度，以促进解释，繁殖，并与以前的研究结果进行比较。
UNASSIGNED：我们在四个数据库中进行了系统的文献检索，以确定报告CRC发病率趋势的基于人群的研究。在2010年1月至2020年5月之间发布。我们提取并描述了估计趋势和评估模型有效性的方法的数据，和使用的软件。
UNASSIGNED：这篇综述包括145篇基于五大洲研究的文章。大多数(93%)呈现了趋势的视觉总结和绝对，相对，或年度变化估计。14篇（10％）文章专门计算了给定时间间隔内发生率的相对变化，以费率变化的百分比表示。Joinpoint回归分析是评估发病率趋势最常用的方法（n=65，45％），提供费率的年度百分比变化(APC)的估计。19项（13％）研究进行了泊松回归分析和18项（12％）线性回归分析。在18项（12％）研究中进行了年龄-队列建模-一种广义线性模型。39项（37％）对发生率趋势进行建模的研究（n=104，72％）表明了用于评估模型适合度的方法。连接点程序（52％）是最常用的统计软件。
UNASSIGNED：本综述确定了CRC发病率趋势计算的差异和模型拟合统计数据的报告不足。我们的研究结果强调需要提高报告方法的清晰度和透明度，以促进解释，繁殖，并与以前的研究结果进行比较。
