Critical appraisal:Huang Y, Li X, Wang Z, Su B 2012 4
From Cancer Guidelines Wiki
Risk of bias assessment: cohort study (risk factors)
Bias in selection of participants into study
Selection of the exposed and non-exposed cohorts
- Drawn from the same population (low risk)
Bias due to error in exposure measurement
Measurement of exposure
- Objective measurements from pre-existing records or <img alt="File:Jutta's info icon.png" src="/australiawiki_test/images/d/d9/Jutta%27s_info_icon.png" width="16" height="16"> baseline physical or biological assessment blind to outcome status (low risk)
Bias due to error in outcome measurement
Measurement of outcome
- Outcome measurement unlikely to be influenced by exposure (low risk)
Was outcome of interest absent at the time to which the exposure refers?
- Yes (low risk)
Was follow-up long enough for outcome to occur as a consequence of measured exposure? (Requires prior specification of a sufficient follow-up period)
- Yes (low risk)
Bias due to non-participation
Participation rate in cohort
- Participation rate in exposed cohort ≤10 percentage points different from non-exposed cohort OR exposed and non-exposed are from the same cohort (low risk)
Bias due to missing data
Completeness of follow-up of cohort
- Active or passive follow-up with methods for ascertainment of one or more of outcome, death or emigration not described OR there was probably < 70% follow-up OR insufficient information to tell (high risk)
Accuracy of dates of outcome or censoring
- Dates of outcome or censoring ascertained to within one year (low risk)
Difference in follow-up between exposed and non-exposed members of cohort
- Follow-up methods are the same and likely to achieve the same completeness of follow-up in exposed and non-exposed participants (low risk)
Difference in missing data for exposure between those with or without the outcome
- Difference in missing data for exposure < 10 percentage points (low risk)
Bias due to confounding
Comparability of exposed and non-exposed cohorts with respect to potentially important confounding variables (Requires prior specification of potentially important confounders)
- Age and other potentially important confounders measured and controlled by design or in analysis (low risk)
Analysis bias
Covariates are appropriately included in statistical analysis models
- Variables measuring the same underlying concept or lying in the same causal pathway ARE included together as covariates in statistical analysis models OR insufficient information to tell (high risk)
Overall risk of bias
| High risk of bias | Additional comments: Please replace this text and include any additional comments in regards to your risk of bias rating |
This appraisal has been completed.
- Article
- Huang Y, Li X, Wang Z, Su B. Five-year risk of colorectal neoplasia after normal baseline colonoscopy in asymptomatic Chinese Mongolian over 50 years of age. Int J Colorectal Dis 2012 Dec;27(12):1651-6 Available from: http://www.ncbi.nlm.nih.gov/pubmed/22763754.
- Assigned to
- User:Victoria.freeman
- Topic area
- Guidelines:Colorectal cancer/Colonoscopy surveillance
- Clinical question
- Form
- Form:Quality appraisal cohort risk factors
- Outcomes
- Cancer incidence, adenoma and advanced adenoma recurrence
Section below only relevant for Cancer Council Project Officer