Publications by authors named "Maria Salve"

Background: Symptom based referral criteria for colorectal cancer (CRC) detection are the cornerstone of the strategy to improve prognosis in CRC. In 2017, the National Institute for Health and Care Excellence (NICE) updated their referral criteria (2017 NG12). Recently, several studies have evaluated the faecal haemoglobin (f-Hb) concentration in this setting.

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Background: Aspirin (ASA) is a drug that can cause gastrointestinal lesions and symptoms. Colorectal cancer (CRC) is the most prevalent type of cancer in Western countries. We assessed the effect of aspirin on the diagnostic accuracy of the faecal immunochemical test (FIT) for CRC and/or advanced neoplasia (AN) in patients undergoing colonoscopy for gastrointestinal symptoms.

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Article Synopsis
  • Researchers created the FAST Score, a prediction model for colorectal cancer (CRC) that uses simple factors like fecal haemoglobin concentration, age, and sex to enhance diagnosis in symptomatic patients.
  • The model was validated through extensive studies involving over 5,500 patients, showing strong diagnostic accuracy with an AUC of 0.88 in the initial group and 0.91 in the validation group.
  • The FAST Score effectively categorizes patients into high, intermediate, and low-risk groups for CRC, making it a practical tool for clinicians in assessing symptoms and prioritizing colonoscopy referrals.
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Background: Risk prediction models for colorectal cancer (CRC) detection in symptomatic patients based on available biomarkers may improve CRC diagnosis. Our aim was to develop, compare with the NICE referral criteria and externally validate a CRC prediction model, COLONPREDICT, based on clinical and laboratory variables.

Methods: This prospective cross-sectional study included consecutive patients with gastrointestinal symptoms referred for colonoscopy between March 2012 and September 2013 in a derivation cohort and between March 2014 and March 2015 in a validation cohort.

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