Cervical Cancer Risk Prediction Models
Absolute Risk Prediction Models
Absolute cancer risk is the probability that an individual with given risk factors and a given age will develop cancer over a defined period of time. Examples of these risk factors include race, age, sex, genetics, body mass index, family history of cancer, history of tobacco use, use of aspirin and nonsteroidal anti-inflammatory drugs (NSAIDS), physical activity, use of hormone replacement therapy, reproductive factors, history of cancer screening, and dietary factors.
Developing statistical models that estimate the probability of developing cancer over a defined period of time will help clinicians identify individuals at higher risk of specific cancers, allowing for earlier or more frequent screening and counseling of behavioral changes to decrease risk. These types of models also will be useful for designing future chemoprevention and screening intervention trials in individuals at high risk of specific cancers in the general population.
The following risk prediction models are intended primarily for research use and have been peer-reviewed, meaning the methodology and results of these models have been evaluated by qualified scientists and clinicians and published in scientific and medical journals.
- Brentnall AR, Vasiljevic N, Scibior-Bentkowska D, et al. A DNA methylation classifier of cervical precancer based on human papillomavirus and human genes. Int J Cancer. Sep 15 2014;135(6):1425-1432.
- Lee CH, Peng CY, Li RN, et al. Risk evaluation for the development of cervical intraepithelial neoplasia: Development and validation of risk-scoring schemes. Int J Cancer. May 20 2014.
- Chang L, He X, Yu G, Wu Y. Effectiveness of HPV 16 viral load and the E2/E6 ratio for the prediction of cervical cancer risk among Chinese women. J Med Virol. Apr 2013;85(4):646-654.
- Teschendorff AE, Jones A, Fiegl H, et al. Epigenetic variability in cells of normal cytology is associated with the risk of future morphological transformation. Genome Med. 2012;4(3):24.
- Patil V, Wahab SN, Zodpey S, Vasudeo ND. Development and validation of risk scoring system for prediction of cancer cervix. Indian J Public Health 2006 Jan-Mar;50(1):38-42.