Kalantari Narges, Gorgani-Firouzjaee Tahmineh, Ghaffari Salman, Bayani Masomeh, Ghaffari Taraneh, Chehrazi Mohammad
Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Infectious Diseases and Tropical Medicine Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Parasitol Int. 2020 Feb;74:101979. doi: 10.1016/j.parint.2019.101979. Epub 2019 Aug 28.
The link between cryptosporidiosis and cancer has been suggested by some epidemiological studies. This systematic review and meta-analysis was conducted to further understand this relationship. In the current study, six electronic databases were reviewed for Cryptosporidium infection in cancer patients. We used random effects model and 95% confidence intervals (CI) to determine the overall odds ratio (OR). Heterogeneity was calculated with Cochran's Q test and Istatistic. In total, 19 studies involving 3562 individuals with case-control (nine) and cross-sectional (ten) designs were included in our project. The pooled overall random effect favored a statistically significant increased risk of Cryptosporidium infection in cancer patients compared with non-cancer individuals [OR = 3.3; 95% CI: 2.18-4.98]. The overall heterogeneity was medium (χ = 25.77; I = 30.2%, P = .11). The pooled ORs in case-control and cross-sectional studies were [OR = 5.60; 95% CI: 3.43-9.13; χ = 5.51; I = 0.00%, P = .70] and [OR = 2.08; 95% CI: 1.18-3.67; χ = 13.69; I = 34.3, P = .13], respectively. T-value and P-value were 0.54 and 0.57 based on the results of Harbord's modified's regression test. In summary, this meta-analysis demonstrates that Cryptosporidium infection is associated with cancer. Also, it found that study design and year of publication are the specific sources of heterogeneity. Further studies should be carried out to investigate the impact of Cryptosporidium infection in the onset or development of cancer in the future.
一些流行病学研究表明隐孢子虫病与癌症之间存在联系。进行这项系统综述和荟萃分析是为了进一步了解这种关系。在本研究中，检索了六个电子数据库，以查找癌症患者中的隐孢子虫感染情况。我们使用随机效应模型和95%置信区间（CI）来确定总体优势比（OR）。用Cochran's Q检验和I统计量计算异质性。我们的项目总共纳入了19项研究，涉及3562例个体，研究设计包括病例对照研究（9项）和横断面研究（10项）。汇总的总体随机效应显示，与非癌症个体相比，癌症患者感染隐孢子虫的风险在统计学上显著增加[OR = 3.3；95% CI：2.18 - 4.98]。总体异质性为中等（χ = 25.77；I = 30.2%，P = 0.11）。病例对照研究和横断面研究的汇总OR分别为[OR = 5.60；95% CI：3.43 - 9.13；χ = 5.51；I = 0.00%，P = 0.70]和[OR = 2.08；95% CI：1.18 - 3.67；χ = 13.69；I = 34.3，P = 0.13]。根据Harbord修正回归检验的结果，t值和P值分别为0.54和0.57。总之，这项荟萃分析表明隐孢子虫感染与癌症有关。此外，研究发现研究设计和发表年份是异质性的具体来源。未来应开展进一步研究，以调查隐孢子虫感染在癌症发生或发展中的影响。
