| Literature DB >> 29100438 |
Xiao Luo1, Hongsun Lu1, Yaojun Li1, Shijian Wang1.
Abstract
Previous studies regarding the relationship between carrot intake and risk of urothelial cancer have reported conflicting results. Hence we performed a meta-analysis of eligible studies to summarize evidence on this association. A comprehensive search up to January 2017 was performed in PubMed, Web of Science, Scopus, EMBASE, Cochrane register, and Chinese National Knowledge Infrastructure (CNKI) databases. The combined odds ratio (OR) with 95% confidence interval (CI) for the highest versus the lowest intake of carrot was calculated. A total of six epidemiological studies consisting of four case-control and two cohort studies were included. Overall analysis indicated a significantly reduced risk of urothelial cancer for high intake of carrot (OR = 0.63, 95% CI 0.44-0.90). Obvious significant heterogeneity was observed among included studies (P < 0.001 for heterogeneity; I2 = 79.6%). There was no significant publication bias by Begg's test (P = 0.348) or Egger's test (P = 0.130). In conclusion, this meta-analysis indicates that high intake of carrot is associated with a low incidence of urothelial cancer. Considering the limited included studies and huge heterogeneity, further large well-designed prospective cohort studies are warranted to confirm the findings from our meta-analysis.Entities:
Keywords: carrot; meta-analysis; risk; urothelial cancer
Year: 2017 PMID: 29100438 PMCID: PMC5652827 DOI: 10.18632/oncotarget.19832
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1Flow diagram of literature search and study selection
Main characteristics of studies included in this meta-analysis
| Author | Year | Country | Design | Number of cases | Total OR (95% CI) | Matched or adjusted variables |
|---|---|---|---|---|---|---|
| Radosavljevic´ | 2005 | Serbia | Case-control | 130 | 0.15 (0.05–0.41) | Age, sex, and residence |
| Sakauchi | 2005 | Japan | Cohort | 123 | 1.01 (0.60–1.71) | Age, sex, and smoking |
| Wakai | 2004 | Japan | Case-control | 124 | 0.41 (0.16–1.01) | Age, sex, and smoking |
| Zeegers-1 | 2001 | Netherlands | Case-cohort | 538 | 0.69 (0.51–0.94) | Age, sex, and smoking |
| Zeegers-2 | 2001 | Netherlands | Case-cohort | 538 | 1.06 (0.97–1.15) | Age, sex, and smoking |
| Pohlabeln-M | 1999 | Germany | Case-control | 239 | 0.36 (0.17–0.79) | Age and smoking |
| Pohlabeln-F | 1999 | Germany | Case-control | 61 | 2.06 (0.49–8.69) | Age and smoking |
| Mettlin-M | 1979 | USA | Case-control | 369 | 0.77 (0.48–1.23) | Age |
| Mettlin-F | 1979 | USA | Case-control | 110 | 0.31 (0.13–0.74) | Age |
OR, odds ratio; CI, confidence interval.
Figure 2A forest plot showing pooled risk estimate from all eligible studies estimating the association between carrot consumption and risk of urothelial cancer
Summary of pooled risk estimates of urothelial cancer in subgroups
| Variables | Study number | OR (95% CI) | Heterogeneity assessment | ||
|---|---|---|---|---|---|
| Q | P | I2 (%) | |||
| Total | 6 | 0.63 (0.44–0.90) | 39.19 | < 0.001 | 79.6 |
| Carrot type | |||||
| Raw | 2 | 0.84 (0.37–1.93) | 8.35 | 0.015 | 76.1 |
| Cooked | 1 | 0.69 (0.51–0.94) | - | - | - |
| Study design | |||||
| Cohort/case-cohort | 2 | 0.91 (0.67–1.24) | 7.03 | 0.030 | 71.6 |
| Case-control | 4 | 0.45 (0.25–0.81) | 13.95 | 0.016 | 64.2 |
| Region | |||||
| USA | 1 | 0.53 (0.22–1.26) | 3.17 | 0.075 | 68.5 |
| Europe | 3 | 0.62 (0.37–1.06) | 27.69 | < 0.001 | 85.6 |
| Asia | 2 | 0.70 (0.29–1.67) | 2.78 | 0.095 | 64.0 |
| Gender | |||||
| Male | 2 | 0.56 (0.27–1.17) | 2.73 | 0.099 | 63.3 |
| Female | 2 | 0.73 (0.12–4.60) | 4.83 | 0.028 | 79.3 |
Figure 3Influence analysis for the effect of carrot consumption on urothelial cancer
The analysis was performed by omitting each study in turn.