Critical appraisal:Castle PE, Glass AG, Rush BB, Scott DR, Wentzensen N, Gage JC, et al 2012
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 not blind to outcome status, OR structured interview (moderate 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
- One or more of dates of outcome or censoring not ascertained to within one year OR insufficient information to tell (moderate 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)
- No potentially important confounders or only age controlled by design or in analysis OR insufficient information to tell (high 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 |
- Article
- Castle PE, Glass AG, Rush BB, Scott DR, Wentzensen N, Gage JC, et al. Clinical human papillomavirus detection forecasts cervical cancer risk in women over 18 years of follow-up. J Clin Oncol 2012 Sep 1;30(25):3044-50 Available from: http://www.ncbi.nlm.nih.gov/pubmed/22851570.
- Assigned to
- User:Suzanne.hughes
- Topic area
- Guidelines:Cervical cancer/Prevention
- Clinical question
Section below only relevant for Cancer Council Project Officer
Secondayr PICO Q1a - picked up from snowballing