| Literature DB >> 34663210 |
Hongsheng Fang1, Yunlan Du2, Shuting Pan3, Ming Zhong4, Jiayin Tang5.
Abstract
BACKGROUND: Recent theory on the "gut-brain axis" suggests a close relationship between the dysfunction of the gut and the disorders of the brain.Entities:
Keywords: Colorectal cancer; Meta-analysis; Parkinson’s disease; Risk
Mesh:
Year: 2021 PMID: 34663210 PMCID: PMC8522030 DOI: 10.1186/s12877-021-02497-z
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Fig. 1PRISMA flow chart of literature searches and results
Baseline characteristics of all included studies in the meta-analysis
| Author | Year | Country | Study design | N (case) | N (control) | subsite | SQ | adjustment |
|---|---|---|---|---|---|---|---|---|
| Guttman [ | 2003 | Canada | retrospective cohort | 15,304 PD | 30,608 | colon | 6 | age, sex |
| OLsen [ | 2005 | Denmark | retrospective cohort | 14,088 PD | NR | colon +rectum | 6 | age, sex |
| Powers [ | 2005 | USA | Case-control | 352 PD | 484 | colorectal | 6 | age, ethnicity, education, smoking |
| Driver [ | 2007 | USA | prospective cohort | 487 PD | 487 | colorectal | 6 | age |
| Fois [ | 2009 | UK | retrospective cohort | 4355 PD | 574,860 | colon +rectum | 7 | age, sex, year of first hospital admission, region |
| Becker [ | 2010 | UK | retrospective cohort | 2993 PD | 3003 | colorectal | 6 | age, sex, smoking, body mass index, |
| Lo [ | 2010 | USA | retrospective cohort | 692 PD | 761 | colorectal | 7 | age, sex, ethnicity, education (years), annual income, smoking, alcohol consumption, body mass index |
| Sun [ | 2011 | Taiwan, China | retrospective cohort | 4957 PD | 19,828 | colorectal | 6 | age, sex |
| Rugbjerg [ | 2012 | Denmark | retrospective cohort | 20,343 PD | 32,360 | colorectal | 7 | age, sex, calendar year |
| Ong [ | 2014 | UK | retrospective cohort | 219,194 PD | 9,015,614 | colon +rectum | 8 | age, sex, calendar year, region of residence, quintile of patients |
| Wirdefeldt [ | 2014 | Sweden | retrospective cohort | 11,786 PD | 58,930 | colon +rectum | 7 | sex, birth year |
| Lin [ | 2015 | Taiwan, China | retrospective cohort | 62,023 PD | 124,046 | colorectal | 8 | age, sex |
| Peretz [ | 2016 | Israel | retrospective cohort | 7125 PD | NR | colon +rectum | 7 | age, sex, chronological year |
| Boursi [ | 2016 | UK | Case-control | 22,093 cancer | 85,833 | colorectal | 6 | Obesity, diabetes, smoking, alcohol consumption, NSAIDs use, hormone replacement therapy, screening colonoscopy |
| Freedman(1) [ | 2016 | USA | Case-control | 836,947 cancer | 142,869 | colon +rectum | 5 | age, sex, selection year |
| Freedman(2) [ | 2016 | Asia | Case-control | 20,267 cancer | 5558 | colon | 5 | age, sex, selection year |
| Park [ | 2019 | Korea | retrospective cohort | 52,009 PD | 260,045 | colorectal | 8 | age, sex, hypertension, DM, hyperlipidemia |
Notes: Study quality was judged based on the Newcastle-Ottawa Scale,
Abbreviations: N number of studies, NR not reported, SQ score of study quality, RR relative risk, CI confidence intervals
Fig. 2Forest plot of RRs for risk of CRC among PD patients (cohort study)
Fig. 3Forest plot of RRs for risk of CRC among PD patients (case-control study)
Subgroup analysis
| Categories | N | Pooled RR | 95% CI | P value | Heterogeneity | |
|---|---|---|---|---|---|---|
| I2 | P′ | |||||
| Study design | ||||||
| Cohort | 13 | 0.78 | 0.66–0.91 | <0.001 | 90.4% | <0.001 |
| Case-control | 4 | 0.78 | 0.65–0.94 | <0.001 | 0% | 0.526 |
| Cancer location | ||||||
| Colon | 6 | 0.68 | 0.55–0.83 | <0.001 | 86.2% | <0.001 |
| Rectum | 5 | 0.89 | 0.83–0.95 | <0.001 | 0 | 0.887 |
| Geographical region | ||||||
| America | 3 | 0.58 | 0.46–0.74 | <0.001 | 0 | 0.957 |
| Europe | 6 | 0.82 | 0.74–0.90 | <0.001 | 51% | 0.070 |
| Asia | 4 | 0.83 | 0.51–1.34 | 0.442 | 97% | <0.001 |
Abbreviations: N number of studies, RR relative risk, CI confidence intervals, P′ p value of I statistics for heterogeneity