Kemp, E., Trigg, J., Beatty, L., Christensen, C., Dhillon, H.M., Maeder, A., et al. Health literacy, digital health literacy and the implementation of digital health technologies in cancer care: the need for a strategic approach. Health Promot. J. Aust. off J. Aust. Assoc. Health Promot. Prof. 32:Suppl 1 (2021), 104–114, 10.1002/hpja.387.
Westerlinck, P., Coucke, P., Review of interactive digital solutions improving health literacy of personal cancer risks in the general public. Int. J. Med. Inf., 154, 2021, 104564, 10.1016/j.ijmedinf.2021.104564.
Hernandez, B.Y., Barnholtz-Sloan, J., German, R.R., Giuliano, A., Goodman, M.T., King, J.B., et al. Burden of invasive squamous cell carcinoma of the penis in the United States, 1998–2003. Cancer 113 (2008), 2883–2891, 10.1002/cncr.23743.
Muzic, J.G., Schmitt, A.R., Wright, A.C., Alniemi, D.T., Zubair, A.S., Olazagasti Lourido, J.M., et al. Incidence and trends of basal cell carcinoma and cutaneous squamous cell carcinoma: a population-based study in Olmsted County, Minnesota, 2000 to 2010. Mayo Clin. Proc. 92 (2017), 890–898, 10.1016/j.mayocp.2017.02.015.
Johnson, L.G., Madeleine, M.M., Newcomer, L.M., Schwartz, S.M., Daling, J.R., Anal cancer incidence and survival: the surveillance, epidemiology, and end results experience, 1973–2000. Cancer 101 (2004), 281–288, 10.1002/cncr.20364.
Shah, C.A., Goff, B.A., Lowe, K., Peters, W.A., Li, C.I., Factors affecting risk of mortality in women with vaginal cancer. Obstet. Gynecol. 113 (2009), 1038–1045, 10.1097/AOG.0b013e31819fe844.
Duffy, A., Capanu, M., Abou-Alfa, G.K., Huitzil, D., Jarnagin, W., Fong, Y., et al. Gallbladder cancer (GBC): 10-year experience at Memorial Sloan-Kettering Cancer Centre (MSKCC). J. Surg. Oncol. 98 (2008), 485–489, 10.1002/jso.21141.
SEER 21 2013–2017 n.d.
Albores-Saavedra, J., Batich, K., Chable-Montero, F., Sagy, N., Schwartz, A.M., Henson, D.E., Merkel cell carcinoma demographics, morphology, and survival based on 3870 cases: a population based study. J. Cutan. Pathol. 37 (2010), 20–27, 10.1111/j.1600-0560.2009.01370.x.
Cheng, C.-Y., Hsu, W.-M., Incidence of eye cancer in Taiwan: an 18-year review. Eye Lond Engl 18 (2004), 152–158, 10.1038/sj.eye.6700619.
Turner, J.H., Reh, D.D., Incidence and survival in patients with sinonasal cancer: a historical analysis of population-based data. Head Neck 34 (2012), 877–885, 10.1002/hed.21830.
Colditz, G.A., Atwood, K.A., Emmons, K., Monson, R.R., Willett, W.C., Trichopoulos, D., et al. Harvard report on cancer prevention volume 4: harvard cancer risk index. risk index working group, harvard center for cancer prevention. cancer causes control. CCC 11 (2000), 477–488, 10.1023/a:1008984432272.
Colditz, G.A., Dart, H., Commentary: 20 years online with “Your Disease Risk”. Cancer Causes Control CCC 32 (2021), 5–11, 10.1007/s10552-020-01356-3.
Islami, F., Goding Sauer, A., Miller, K.D., Siegel, R.L., Fedewa, S.A., Jacobs, E.J., et al. Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States. CA Cancer J. Clin. 68 (2018), 31–54, 10.3322/caac.21440.
O'Sullivan, D.E., Brenner, D.R., Villeneuve, P.J., Walter, S.D., Demers, P.A., Friedenreich, C.M., et al. The current burden of non-melanoma skin cancer attributable to ultraviolet radiation and related risk behaviours in Canada. Cancer Causes Control CCC 32 (2021), 279–290, 10.1007/s10552-020-01382-1.
Tammemagi, C.M., Pinsky, P.F., Caporaso, N.E., Kvale, P.A., Hocking, W.G., Church, T.R., et al. Lung cancer risk prediction: prostate, lung, colorectal and ovarian cancer screening trial models and validation. J. Natl Cancer Inst. 103 (2011), 1058–1068, 10.1093/jnci/djr173.
Liu, Y., He, Y., Li, T., Xie, L., Wang, J., Qin, X., et al. Risk of primary liver cancer associated with gallstones and cholecystectomy: a meta-analysis. PLoS One, 9, 2014, e109733.
Kim, D.J., Rockhill, B., Colditz, G.A., Validation of the Harvard Cancer Risk Index: a prediction tool for individual cancer risk. J. Clin. Epidemiol. 57 (2004), 332–340, 10.1016/j.jclinepi.2003.08.013.
Gail, M.H., Brinton, L.A., Byar, D.P., Corle, D.K., Green, S.B., Schairer, C., et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J. Natl. Cancer Inst. 81 (1989), 1879–1886, 10.1093/jnci/81.24.1879.
Ma, G.K., Ladabaum, U., Personalizing colorectal cancer screening: a systematic review of models to predict risk of colorectal neoplasia. Clin. Gastroenterol. Hepatol off Clin. Pract. J. Am. Gastroenterol. Assoc. 12 (2014), 1624–1634.e1, 10.1016/j.cgh.2014.01.042.
Kim, J.H., Kim, Y.D., Lee, M., Jun, B.G., Kim, T.S., Suk, K.T., et al. Modified PAGE-B score predicts the risk of hepatocellular carcinoma in Asians with chronic hepatitis B on antiviral therapy. J. Hepatol. 69 (2018), 1066–1073, 10.1016/j.jhep.2018.07.018.
Cai, Q.-C., Chen, Y., Xiao, Y., Zhu, W., Xu, Q.-F., Zhong, L., et al. A prediction rule for estimating pancreatic cancer risk in chronic pancreatitis patients with focal pancreatic mass lesions with prior negative EUS-FNA cytology. Scand. J. Gastroenterol. 46 (2011), 464–470, 10.3109/00365521.2010.539256.
Lee, A., Mavaddat, N., Cunningham, A., Carver, T., Ficorella, L., Archer, S., et al. Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence. J. Med. Genet. 59 (2022), 1206–1218, 10.1136/jmedgenet-2022-108471.
Gail, M.H., Costantino, J.P., Pee, D., Bondy, M., Newman, L., Selvan, M., et al. Projecting individualized absolute invasive breast cancer risk in African American women. J. Natl. Cancer Inst. 99 (2007), 1782–1792, 10.1093/jnci/djm223.
Chen, J., Pee, D., Ayyagari, R., Graubard, B., Schairer, C., Byrne, C., et al. Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density. J. Natl. Cancer Inst. 98 (2006), 1215–1226, 10.1093/jnci/djj332.
Matulewicz, R.S., Rademaker, A., Meeks, J.J., A simplified nomogram to assess risk of bladder cancer in patients with a new diagnosis of microscopic hematuria. Urol. Oncol. 38 (2020), 240–246, 10.1016/j.urolonc.2019.12.010.
Zhang, Z., Bien, J., Mori, M., Jindal, S., Bergan, R., A way forward for cancer prevention therapy: personalized risk assessment. Oncotarget 10 (2019), 6898–6912, 10.18632/oncotarget.27365.
Sariyildiz, A.Y., Aksoy, Y., Samanci, M., The effect of mobile health applications on the health literacy of individuals. Pak. J. Med. Health Sci. 16 (2022), 552–555, 10.53350/pjmhs22163552.
Sherratt, F.C., Marcus, M.W., Robinson, J., Field, J.K., Utilizing lung cancer risk prediction models to promote smoking cessation: two randomized controlled trials. Am. J. Health Promot. AJHP 32 (2018), 1196–1205, 10.1177/0890117116673820.
Ryan, A.M., Cushen, S., Schellekens, H., Bhuachalla, E.N., Burns, L., Kenny, U., et al. Poor awareness of risk factors for cancer in Irish adults: results of a large survey and review of the literature. Oncologist 20 (2015), 372–378, 10.1634/theoncologist.2014-0453.
Redeker, C., Wardle, J., Wilder, D., Hiom, S., Miles, A., The launch of cancer research UK's “Reduce the Risk” campaign: baseline measurements of public awareness of cancer risk factors in 2004. Eur. J. Cancer Oxf. Engl. 2009:45 (1990), 827–836, 10.1016/j.ejca.2008.10.018.
Al-Azri, M., Al-Rasbi, K., Al-Hinai, M., Davidson, R., Al-Maniri, A., Awareness of risk factors for cancer among Omani adults–a community based study. Asian Pac. J. Cancer Prev. APJCP 15 (2014), 5401–5406, 10.7314/apjcp.2014.15.13.5401.
Lizama, N., Jongenelis, M., Slevin, T., Awareness of cancer risk factors and protective factors among Australian adults. Health Promot. J. Aust. off J. Aust. Assoc. Health Promot. Prof. 31 (2020), 77–83, 10.1002/hpja.248.
Hofvind, S., Ursin, G., Tretli, S., Sebuødegård, S., Møller, B., Breast cancer mortality in participants of the Norwegian Breast Cancer Screening Program. Cancer 119 (2013), 3106–3112, 10.1002/cncr.28174.
Ruco, A., Dossa, F., Tinmouth, J., Llovet, D., Jacobson, J., Kishibe, T., et al. Social media and mHealth technology for cancer screening: systematic review and meta-analysis. J. Med. Internet Res., 23, 2021, e26759.