Literature DB >> 29934436

Incidence of faecal occult blood test interval cancers in population-based colorectal cancer screening: a systematic review and meta-analysis.

Els Wieten1, Eline H Schreuders1, Esmée J Grobbee1, Daan Nieboer2, Wichor M Bramer3, Iris Lansdorp-Vogelaar2, Marco J Bruno1, Ernst J Kuipers1, Manon C W Spaander1.   

Abstract

OBJECTIVE: Faecal immunochemical tests (FITs) are replacing guaiac faecal occult blood tests (gFOBTs) for colorectal cancer (CRC) screening. Incidence of interval colorectal cancer (iCRC) following a negative stool test result is not yet known. We aimed to compare incidence of iCRC following a negative FIT or gFOBT.
DESIGN: We searched Ovid Medline, Embase, Cochrane Library, Science Citation Index, PubMed and Google Scholar from inception to 12 December 2017 for citations related to CRC screening based on stool tests. We included studies on FIT or gFOBT iCRC in average-risk screening populations. Main outcome was pooled incidence rate of iCRCs per 100 000 person-years (p-y). Pooled incidence rates were obtained by fitting random-effect Poisson regression models.
RESULTS: We identified 7 426 records and included 29 studies. Meta-analyses comprised data of 6 987 825 subjects with a negative test result, in whom 11 932 screen-detected CRCs and 5 548 gFOBT or FIT iCRCs were documented. Median faecal haemoglobin (Hb) positivity cut-off used was 20 (range 10-200) µg Hb/g faeces in the 17 studies that provided FIT results. Pooled incidence rates of iCRC following FIT and gFOBT were 20 (95% CI 14 to 29; I2=99%) and 34 (95% CI 20 to 57; I2=99%) per 100 000 p-y, respectively. Pooled incidence rate ratio of FIT versus gFOBT iCRC was 0.58 (95% CI 0.32 to 1.07; I2=99%) and 0.36 (95% CI 0.17 to 0.75; I2=10%) in sensitivity analysis. For every FIT iCRC, 2.6 screen-detected CRCs were found (ratio 1:2.6); for gFOBT, the ratio between iCRC and screen-detected CRC was 1:1.2. Age below 60 years and the third screening round were significantly associated with a lower iCRC rate.
CONCLUSION: A negative gFOBT result is associated with a higher iCRC incidence than a negative FIT. This supports the use of FIT over gFOBT as CRC screening tool. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  colorectal cancer screening; epidemiology; meta-analysis

Mesh:

Year:  2018        PMID: 29934436     DOI: 10.1136/gutjnl-2017-315340

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


  13 in total

Review 1.  Guaiac-based faecal occult blood tests versus faecal immunochemical tests for colorectal cancer screening in average-risk individuals.

Authors:  Esmée J Grobbee; Pieter Ha Wisse; Eline H Schreuders; Aafke van Roon; Leonie van Dam; Ann G Zauber; Iris Lansdorp-Vogelaar; Wichor Bramer; Sarah Berhane; Jonathan J Deeks; Ewout W Steyerberg; Monique E van Leerdam; Manon Cw Spaander; Ernst J Kuipers
Journal:  Cochrane Database Syst Rev       Date:  2022-06-06

2.  Effect of Sex, Age, and Positivity Threshold on Fecal Immunochemical Test Accuracy: A Systematic Review and Meta-analysis.

Authors:  Kevin Selby; Emma H Levine; Cecilia Doan; Anton Gies; Hermann Brenner; Charles Quesenberry; Jeffrey K Lee; Douglas A Corley
Journal:  Gastroenterology       Date:  2019-08-22       Impact factor: 22.682

3.  Detection of serrated lesions in proximal colon by simulated sigmoidoscopy vs faecal immunochemical testing in a multicentre, pragmatic, randomised controlled trial.

Authors:  Laura Carot; Antoni Castells; Cristina Hernández; Cristina Alvarez-Urturi; Francesc Balaguer; Angel Lanas; Joaquín Cubiella; Jose D Tasende; Rodrigo Jover; Vicent Hernandez; Fernando Carballo; Luis Bujanda; Enrique Quintero; Montserrat Andreu; Xavier Bessa
Journal:  United European Gastroenterol J       Date:  2018-09-26       Impact factor: 4.623

Review 4.  Metastatic Colorectal Cancer in the Era of Personalized Medicine: A More Tailored Approach to Systemic Therapy.

Authors:  Irene S Yu; Winson Y Cheung
Journal:  Can J Gastroenterol Hepatol       Date:  2018-11-05

5.  Screen-detected and interval colorectal cancers in England: Associations with lifestyle and other factors in women in a large UK prospective cohort.

Authors:  Roger Blanks; Andrea Burón Pust; Rupert Alison; Emily He; Isobel Barnes; Julietta Patnick; Gillian K Reeves; Sarah Floud; Valerie Beral; Jane Green
Journal:  Int J Cancer       Date:  2019-02-15       Impact factor: 7.396

6.  Assessing knowledge on preventive colorectal cancer screening in Saudi Arabia: A cross-sectional study.

Authors:  Marwan Al-Hajeili; Hassan K Abdulwassi; Faisal Alshadadi; Lujain Alqurashi; Mohmmad Idriss; Lamis Halawani
Journal:  J Family Med Prim Care       Date:  2019-10-31

7.  Classification of Changes in the Fecal Microbiota Associated with Colonic Adenomatous Polyps Using a Long-Read Sequencing Platform.

Authors:  Po-Li Wei; Ching-Sheng Hung; Yi-Wei Kao; Ying-Chin Lin; Cheng-Yang Lee; Tzu-Hao Chang; Ben-Chang Shia; Jung-Chun Lin
Journal:  Genes (Basel)       Date:  2020-11-20       Impact factor: 4.096

8.  A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer.

Authors:  Mohammad Wajih Alam; Seyed Shahim Vedaei; Khan A Wahid
Journal:  Cancers (Basel)       Date:  2020-04-06       Impact factor: 6.639

Review 9.  Aspects of colorectal cancer screening, methods, age and gender.

Authors:  R Hultcrantz
Journal:  J Intern Med       Date:  2020-09-14       Impact factor: 8.989

10.  Association between ABCB1 (3435C>T) polymorphism and susceptibility of colorectal cancer: A meta-analysis.

Authors:  Li-Li Han; Bai-le Zuo; Wei-Liang Cai; Zhen-Ni Guo; Bing-Hua Tong; Hui-Lian Wei; Zheng Zhu; Guo-Yin Li
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

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