Table 5.
Author (Year) | Country | Outcome | Risk Factors | Data Source (Sample Size) | AUC |
---|---|---|---|---|---|
Betes 200329 | Spain | ACN | Age, gender, BMI | Hospital-based (2210) | 0.67 |
Cai 201220 | China | ACN+CRC | Age, gender, smoking, diabetes mellitus, green vegetables, pickled food, fried food, white meat | Hospital-based (7541) | 0.74 |
Chen 201431 | China | ACN | Age, gender, history of coronary heart disease, egg intake, defaecation frequency | Hospital-based (905) | 0.75 |
Li 201827 | China | CRC | Age, sex, education level, occupations, diarrhea, constipation, colon mucosa and bleeding, gallbladder disease, a stressful life event, family history and a qualitative FIT | Population based (891,199) considers the history of clinical symptoms and signs of bowel disease together with the FIT results | 0.84 |
Kaminski 201432 | Poland | ACN | Age, gender, BMI, smoking, number and age affected of first degree relatives with CRC | Cross-sectional analysis (35,918) | 0.64 |
Stegeman 201433 | Netherlands | ACN | Age, smoking, first degree relative with CRC, FIT, calcium intake | Population-based (6600) | 0.76 |
Tao 201422 | Germany | ACN | Age, gender, smoking, first-degree relative with CRC, alcohol, previous polyp, red meat consumption, NSAIDS, previous colonoscopy | Population-based (7891) | 0.67 |
Tao 201422 | Germany | CRC | Age, gender, smoking, first-degree relative with CRC, alcohol, previous polyp, red meat consumption, NSAIDS, previous colonoscopy | Population-based (7891) | 0.71 |
Yeoh 201130 | Asia | ACN | Age, gender, smoking, first degree relative with CRC | Hospital-based (2752) | 0.66 |
Driver 200716 | USA | CRC | Age, BMI, history of smoking, weekly or daily alcohol use | Population-based (21,581 male) | 0.7 |
Ma 200817 | Japan | CRC | Age, BMI, smoking, physical activity, alcohol | Population-based (28,115 male) | 0.7 |
Taylor 201118 | USA | CRC | Age, first, second and third degree relatives with CRC | Population-based (431,153) | 0.67 |
Yarnall 201319 | UK | CRC | BMI, smoking, alcohol, fibre intake, red meat intake, physical activity, 14 SNPs | META | 0.63 |
Auge 201434 | Spain | ACN | Age, sex and categorized FIT results | Retrospective (3109) | 0.67 |
Cooper 201725 | UK | CRC+ ACN | Age, sex, first time invite, previous non-responder, previous responder and quantitative FIT result | Population based (40,930) | 0.68 |
Aniwan 201523 | Thailand | CRC | Age, sex, family history and smoking status as APCS risk score and a qualitative FIT | Hospital-based (948) | 0.85 |
Aniwan 201523 | Thailand | ACN | Age, sex, family history and smoking status as APCS risk score and a qualitative FIT | Hospital-based (948) | 0.67 |
Dunlop 201321 | CRC | Family history of CRC and 10 common genetic variants | Population-based (42,103) | 0.56 | |
Hsu 201524 | USA and Germany | CRC | Family history of CRC and 27 common genetic variants, endoscopy history | Population-based (12,000) | 0.59 for men; 0.56 for women |
Ibáñez-Sanz 201726 | Spain | CRC | Family history of CRC,alcohol consumption, obesity, physical activity, red meat and vegetable consumption, and nonsteroidal anti-inflammatory drug use, 21 SNPs | Population-based (4080) | 0.63 |
Joen 201828 | USA | CRC | Family history of CRC, 19 lifestyle and environmental factors, 63 CRC-associated SNPs | Population-based (20,338) | 0.63 for men; 0.62 for women |
Abbreviations: CRC, colorectal cancer; ACN, advanced colorectal neoplasm; FIT, faecal immunochemical test; NSAIDS, nonsteroidal anti-inflammatory drug use; BMI, body mass index; SNP, single nucleotide polymorphism; APCS, Asia-Pacific Colorectal Screening Scoring System.