Risk of bias assessment: (7) Assessing Bias in Studies of Prognostic Factors.
10.3760/cma.j.issn.0254-6450.2018.07.026
- Author:
S W TANG
1
;
Y ZHANG
2
;
B L TAO
1
;
Z R YANG
3
;
F SUN
4
;
S Y ZHAN
4
Author Information
1. Department of Epidemiology, Nanjing Medical University, Nanjing 211166, China.
2. Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton L8S 4K1, CA.
3. Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridgeshire CBl 8RN, UK.
4. Center of Evidence-based Medicine, Peking University, Beijing 100191, China.
- Publication Type:Journal Article
- Keywords:
Prognosis studies;
Risk of bias;
Systematic review;
Tool for assessment
- MeSH:
Bias;
Humans;
Prognosis;
Quality Improvement;
Research Design
- From:Chinese Journal of Epidemiology
2018;39(7):1003-1008
- CountryChina
- Language:Chinese
-
Abstract:
This paper introduces the tools related to Quality In Prognosis Studies (QUIPS) to assess the risk of bias in studies of prognostic factors and the relevant points of assessment and to illustrate the application of QUIPS in published prognostic research. The QUIPS tool identified 6 important areas to consider when evaluating validity and bias in studies of prognostic factors including participation, attrition, measurement on prognostic factors, outcomes, confounding factors, statistical analysis and reporting. It also provided a new method for evaluation on bias in the areas of prognostic research.
