BACKGROUND AND AIM: With an increasing burden on overstretched colonoscopy services, a simple risk score for significant pathology in symptomatic patients may aid in the prioritization of patients. METHODS: A derivative study of a risk score model for colonic neoplasia (colorectal carcinoma [CRC] and advanced adenoma) and CRC alone was conducted in symptomatic adults referred for an index colonoscopy. The accuracy of the final model was assessed by the area under the curve (AUC) of the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit statistic. RESULTS: A total of 1013 subjects (mean age 59.9 ± 13.7 years, 52.3% females) from a multi-ethnic Asian background (Chinese 56%, Malay 20.4%, Indian 21.5%) were recruited. Colonic neoplasia and CRC were identified in 175 (17.3%) and 114 (11.3%) cases, respectively. Risk scores were assigned to individual factors identified in a logistic regression model of both demographic (age, gender, ethnicity, education level, smoking history, Aspirin use) and clinical symptoms (change in bowel habit, bloody stool, weight loss, appetite loss, lethargy). The risk score for each patient was the sum of their individual risk factors. The AUC of the risk score for colonic neoplasia and CRC was 0.76 (Hosmer-Lemeshow goodness-of-fit statistic of P = 0.745) and 0.83 (Hosmer-Lemeshow goodness-of-fit statistic of P = 0.982), respectively. CONCLUSION: A simple risk score for colonic neoplasia and CRC may be able to prioritize colonoscopy referrals in symptomatic subjects from a multi-ethnic background. A further study to validate this scoring system is required.
BACKGROUND AND AIM: With an increasing burden on overstretched colonoscopy services, a simple risk score for significant pathology in symptomatic patients may aid in the prioritization of patients. METHODS: A derivative study of a risk score model for colonic neoplasia (colorectal carcinoma [CRC] and advanced adenoma) and CRC alone was conducted in symptomatic adults referred for an index colonoscopy. The accuracy of the final model was assessed by the area under the curve (AUC) of the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit statistic. RESULTS: A total of 1013 subjects (mean age 59.9 ± 13.7 years, 52.3% females) from a multi-ethnic Asian background (Chinese 56%, Malay 20.4%, Indian 21.5%) were recruited. Colonic neoplasia and CRC were identified in 175 (17.3%) and 114 (11.3%) cases, respectively. Risk scores were assigned to individual factors identified in a logistic regression model of both demographic (age, gender, ethnicity, education level, smoking history, Aspirin use) and clinical symptoms (change in bowel habit, bloody stool, weight loss, appetite loss, lethargy). The risk score for each patient was the sum of their individual risk factors. The AUC of the risk score for colonic neoplasia and CRC was 0.76 (Hosmer-Lemeshow goodness-of-fit statistic of P = 0.745) and 0.83 (Hosmer-Lemeshow goodness-of-fit statistic of P = 0.982), respectively. CONCLUSION: A simple risk score for colonic neoplasia and CRC may be able to prioritize colonoscopy referrals in symptomatic subjects from a multi-ethnic background. A further study to validate this scoring system is required.
Authors: Antonieta Medina-Lara; Bogdan Grigore; Ruth Lewis; Jaime Peters; Sarah Price; Paolo Landa; Sophie Robinson; Richard Neal; William Hamilton; Anne E Spencer Journal: Health Technol Assess Date: 2020-11 Impact factor: 4.014
Authors: Nauzer Forbes; Mohan Cooray; Michael Hackett; Nishwa Shah; Yuhong Yuan; Pavel Antiperovitch; Tracey Corner; David Chan; Michael Mills; David Armstrong; Ted Xenodemetropoulos Journal: J Can Assoc Gastroenterol Date: 2019-05-22
Authors: Luis Bujanda; Cristina Sarasqueta; Pablo Vega; María Salve; Enrique Quintero; Victoria Alvarez-Sánchez; Fernando Fernández-Bañares; Jaume Boadas; Rafel Campo; Ana Garayoa; Angel Ferrandez; Leyanira Torrealba; Daniel Rodríguez-Alcaide; Mauro D'Amato; Vicent Hernández; Joaquin Cubiella Journal: United European Gastroenterol J Date: 2017-04-21 Impact factor: 4.623
Authors: Martin C S Wong; Jessica Y L Ching; Simpson Ng; Thomas Y T Lam; Arthur K C Luk; Sunny H Wong; Siew C Ng; Simon S M Ng; Justin C Y Wu; Francis K L Chan; Joseph J Y Sung Journal: Sci Rep Date: 2016-02-03 Impact factor: 4.379