Literature DB >> 27322531

A New Scoring System to Predict the Risk for High-risk Adenoma and Comparison of Existing Risk Calculators.

Brent Murchie1, Kanwarpreet Tandon, Seifeldin Hakim, Kinchit Shah, Colin O'Rourke, Fernando J Castro.   

Abstract

BACKGROUND: Colorectal cancer (CRC) screening guidelines likely over-generalizes CRC risk, 35% of Americans are not up to date with screening, and there is growing incidence of CRC in younger patients. GOALS: We developed a practical prediction model for high-risk colon adenomas in an average-risk population, including an expanded definition of high-risk polyps (≥3 nonadvanced adenomas), exposing higher than average-risk patients. We also compared results with previously created calculators. STUDY: Patients aged 40 to 59 years, undergoing first-time average-risk screening or diagnostic colonoscopies were evaluated. Risk calculators for advanced adenomas and high-risk adenomas were created based on age, body mass index, sex, race, and smoking history. Previously established calculators with similar risk factors were selected for comparison of concordance statistic (c-statistic) and external validation.
RESULTS: A total of 5063 patients were included. Advanced adenomas, and high-risk adenomas were seen in 5.7% and 7.4% of the patient population, respectively. The c-statistic for our calculator was 0.639 for the prediction of advanced adenomas, and 0.650 for high-risk adenomas. When applied to our population, all previous models had lower c-statistic results although one performed similarly.
CONCLUSIONS: Our model compares favorably to previously established prediction models. Age and body mass index were used as continuous variables, likely improving the c-statistic. It also reports absolute predictive probabilities of advanced and high-risk polyps, allowing for more individualized risk assessment of CRC.

Entities:  

Mesh:

Year:  2017        PMID: 27322531     DOI: 10.1097/MCG.0000000000000576

Source DB:  PubMed          Journal:  J Clin Gastroenterol        ISSN: 0192-0790            Impact factor:   3.062


  5 in total

1.  Risk Scores for Predicting Advanced Colorectal Neoplasia in the Average-risk Population: A Systematic Review and Meta-analysis.

Authors:  Le Peng; Korbinian Weigl; Daniel Boakye; Hermann Brenner
Journal:  Am J Gastroenterol       Date:  2018-10-12       Impact factor: 10.864

2.  Head-to-Head Comparison of the Performance of 17 Risk Models for Predicting Presence of Advanced Neoplasms in Colorectal Cancer Screening.

Authors:  Le Peng; Yesilda Balavarca; Korbinian Weigl; Michael Hoffmeister; Hermann Brenner
Journal:  Am J Gastroenterol       Date:  2019-09       Impact factor: 10.864

3.  Risk factors and prediction algorithm for advanced neoplasia on screening colonoscopy for average-risk individuals.

Authors:  Offir Ukashi; Barak Pflantzer; Yiftach Barash; Eyal Klang; Shlomo Segev; Doron Yablecovitch; Uri Kopylov; Shomron Ben-Horin; Ido Laish
Journal:  Therap Adv Gastroenterol       Date:  2022-06-30       Impact factor: 4.802

4.  Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors.

Authors:  Jihyoun Jeon; Mengmeng Du; Robert E Schoen; Michael Hoffmeister; Polly A Newcomb; Sonja I Berndt; Bette Caan; Peter T Campbell; Andrew T Chan; Jenny Chang-Claude; Graham G Giles; Jian Gong; Tabitha A Harrison; Jeroen R Huyghe; Eric J Jacobs; Li Li; Yi Lin; Loïc Le Marchand; John D Potter; Conghui Qu; Stephanie A Bien; Niha Zubair; Robert J Macinnis; Daniel D Buchanan; John L Hopper; Yin Cao; Reiko Nishihara; Gad Rennert; Martha L Slattery; Duncan C Thomas; Michael O Woods; Ross L Prentice; Stephen B Gruber; Yingye Zheng; Hermann Brenner; Richard B Hayes; Emily White; Ulrike Peters; Li Hsu
Journal:  Gastroenterology       Date:  2018-02-17       Impact factor: 33.883

5.  Risk prediction rule for advanced neoplasia on screening colonoscopy for average-risk individuals.

Authors:  Ala I Sharara; Ali El Mokahal; Ali H Harb; Natalia Khalaf; Fayez S Sarkis; Mustapha M El-Halabi; Nabil M Mansour; Ahmad Malli; Robert Habib
Journal:  World J Gastroenterol       Date:  2020-10-07       Impact factor: 5.742

  5 in total

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