Critical appraisal:Lee JL, Cha JM, Lee HM, Jeon JW, Kwak MS, Yoon JY, et al 2017 3
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
- Objective outcome measurement possibly influenced by exposure (moderate 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 NOT included together as covariates in statistical analysis models (low 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
- Lee JL, Cha JM, Lee HM, Jeon JW, Kwak MS, Yoon JY, et al. Determining the optimal surveillance interval after a colonoscopic polypectomy for the Korean population? Intest Res 2017 Jan;15(1):109-117 Available from: http://www.ncbi.nlm.nih.gov/pubmed/28239321.
- Assigned to
- User:Albert.chetcuti
- Topic area
- Guidelines:Colorectal cancer/Colonoscopy surveillance
- Clinical question
- Form
- Form:Quality appraisal cohort risk factors
- Outcomes
- Incidence of cancer, adenoma recurrence, incidence of advanced and high risk adenoma, cumulative incidence of adenoma and advanced adenoma
Section below only relevant for Cancer Council Project Officer