Kellen E, Zeegers M P, Bruckers L, Buntinx F
Academisch Centrum Huisartsgeneeskunde, Katholieke Universiteit Leuven--Limburgs Kankerregister, België.
Acta Clin Belg. 2008 Sep-Oct;63(5):313-20. doi: 10.1179/acb.2008.061.
Previous analyses of the Limburg Cancer registry (LIKAR) indicated the existence of a geographical cluster of bladder cancer incidence, particularly transitional cell carcinomas, amongst males in the surrounding area of the Belgian cities Hasselt and Alken. In subsequent ecologic analyses no risk factors were identified which could explain the existence of this cluster. Therefore, an epidemiological case-control study has been performed in the province of Limburg to explore the possible determinants of the cluster. The following cluster determinants were investigated: socio-demographic characteristics, life style factors, occupational and environmental exposures, and genetic predisposition. A weight was assigned to all the study subjects. Secondly, we used unconditional logistic regression to calculate crude odd ratios (ORs) and 95% confidence intervals (CIs) for each source of exposure and bladder cancer. Thirdly, we used a multivariate logistic regression analysis which included all the parameters found to be significant at the 0.1 significance level in the univariate analysis. Although some of the specific odds ratios decreased compared with the crude results, the overall excess did not change specifically. In conclusion, we were not able to identify a clear-cut explanation for the existence of the geographical cluster. We therefore recommend an increased surveillance of bladder cancer incidence for 3 to 5 years. If the "excess" of cancer cases has occurred due to random variation, the rate will return to the "expected" range in the next years. If the rate remains elevated, further studies may need to be performed using investigative tools that are not available currently.
此前对林堡癌症登记处(LIKAR)的分析表明,在比利时哈瑟尔特和阿尔肯市周边地区的男性中,存在膀胱癌发病率的地理聚集现象,尤其是移行细胞癌。在随后的生态学分析中,未发现能够解释这种聚集现象存在的风险因素。因此,在林堡省开展了一项流行病学病例对照研究,以探索该聚集现象可能的决定因素。研究调查了以下聚集现象的决定因素:社会人口统计学特征、生活方式因素、职业和环境暴露以及遗传易感性。为所有研究对象赋予了一个权重。其次,我们使用无条件逻辑回归来计算每种暴露源与膀胱癌的粗比值比(OR)和95%置信区间(CI)。第三,我们使用多变量逻辑回归分析,该分析纳入了在单变量分析中发现的在0.1显著性水平上具有显著性的所有参数。尽管与粗结果相比,一些特定的比值比有所下降,但总体超额情况并未有特别变化。总之,我们无法为该地理聚集现象的存在找到明确的解释。因此,我们建议对膀胱癌发病率进行3至5年的加强监测。如果癌症病例的“超额”是由于随机变异导致的,那么在接下来的几年里发病率将回到“预期”范围。如果发病率仍然居高不下,可能需要使用目前尚无的调查工具开展进一步研究。