Systematic review and meta-analysis : diagnostic accuracy of faecal immunochemical testing for haemoglobin (FIT) in detecting colorectal cancer for both symptomatic and screening population
Related Experiment Video For Faecal haemoglobin
Updated: Jan 22, 2026

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
J Stonestreet1, S Chandrapalan2, D Woolley1
1Warwick Medical School, University of Warwick, Coventry, UK.
Background:
Colorectal cancer (CRC) is one of the most common cancers worldwide. A non-invasive test, with high sensitivity and specificity is essential for early detection, improved outcome and avoidance of unnecessary invasive tests. This study aims to evaluate the accuracy of the faecal immunochemical testing for haemoglobin (FIT) in the detection of CRC, both in symptomatic and screening population and to summarise the available evidence to date.
Methods:
Search strategy was initially developed in MEDLINE and adapted for use in other databases. Studies were included if they had fulfilled the criteria. QUADAS-2 tool was used for quality assessment and data analysis performed using STATA 15 software.
Results:
A total of 17 out of 92 articles were included in the final analysis. Within the symptomatic group (n= 6755), the overall pooled sensitivity and specificity of FIT to detect CRC was 0.90 (95% CI 0.87-0.92) and 0.87 (95% CI 0.83-0.90) respectively. In the screening population (n=24197), the pooled sensitivity and specificity of FIT to detect CRC was 0.69 (95% CI 0.54-0.81) and 0.94 (95% CI 0.94-0.95) respectively. Most analytics were comparable with cut off less than 20μg/g feces providing optimal sensitivity and specificity for symptomatic and screening populations respectively.
Conclusion:
For the detection of CRC within the screening population, FIT has high specificity and sensitivity. In the symptomatic group, FIT's high sensitivity (90%) supports its role as a triage test to guide the selection of patients who require urgent lower gastrointestinal tract evaluation.
Related Concept Videos
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
Expected Frequencies in Goodness-of-Fit Tests
Myasthenia Gravis: Diagnostic Tests
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Uncertainty in Measurement: Accuracy and Precision
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...

