Background/aims: Knowledge regarding the quality metrics of fecal immunochemical test (FIT)-based colorectal cancer screening programs is limited. The aim of this study was to investigate the performance and quality metrics of a FIT-based screening program.

Methods: In our screening program, asymptomatic subjects aged ≥50 years underwent an annual FIT, and subjects with positive FIT results underwent a subsequent colonoscopy. The performance of the FIT and colonoscopy was analyzed in individuals with a positive FIT who completed the program between 2009 and 2015 at a university hospital.

Results: Among the 51,439 screened participants, 75.1% completed the FIT. The positive rate was 1.1%, and the colonoscopy completion rate in these patients was 68.6%. The positive predictive values of cancer and advanced neoplasia were 5.5% and 19.1%, respectively. The adenoma detection rate in the patients who underwent colonoscopy after a positive FIT was 48.2% (60.0% for men and 33.6% for women). The group with the highest tertile quantitative FIT level showed a significantly higher detection rate of advanced neoplasia than the group with the lowest tertile (odds ratio, 2.6; 95% confidence interval, 1.4 to 5.1; p<0.001).

Conclusions: The quality metrics used in the United States and Europe may be directly introduced to other countries, including Korea. However, the optimal quality metrics should be established in each country.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832343PMC
http://dx.doi.org/10.5009/gnl17030DOI Listing

Publication Analysis

Top Keywords

quality metrics
20
positive fit
12
metrics fecal
8
fecal immunochemical
8
colorectal cancer
8
cancer screening
8
screening program
8
rate patients
8
advanced neoplasia
8
detection rate
8

Similar Publications

Background: Measuring palliative care quality requires the application of evaluation methods to compare clinically meaningful groups of patients across different settings. Such protocols are currently lacking in Poland. The Australian Palliative Care Outcome Collaboration (PCOC) concept of Palliative phases precisely defines patients, enables episodes of care extraction for benchmarking and further assessment of service delivery.

View Article and Find Full Text PDF

Objectives: To understand the competitive position of the UK in comparison to Europe and the USA for haematological cancer clinical research.

Design: Using commercially available databases, clinical trial numbers, their effectiveness and publication outputs were evaluated in two analyses: a macrodevelopment and a research activity and performance analysis.

Data Sources: The following databases were used for this analysis: Organisation for Economic Co-operation and Development, Thomson Reuters Incidence and Prevalence, the Cortellis Clinical Trial Intelligence, the Clarivate Cortellis Innography Patent Intelligence, Thomson-Reuters Cortellis Regulatory Intelligence, Thomson Reuters Web of Science and data from the Centre for Medicine Research (CMR).

View Article and Find Full Text PDF

For two decades the ASCO CAP HER2 testing criteria have included 0 and 1+ scores, but this distinction was inconsequential. Now, based on the DESTINY Breast-04 Trial (DB-04) results, for patients with metastatic breast cancer it underpins eligibility for T-DXd treatment. Discerning 0 from 1+ IHC staining is challenging, as HER2 low is not a biologically distinct cancer subset, there are no reference standards or controls and second-tier tests do not apply.

View Article and Find Full Text PDF

A novel hybrid model for air quality prediction via dimension reduction and error correction techniques.

Environ Monit Assess

December 2024

School of Big Data and Statistics, Anhui University, Hefei, 230601, Anhui, China.

The monitoring of air pollution through the air quality index (AQI) is a fundamental tool in ensuring public health protection. Accurate prediction of air quality is necessary for the timely implementation of measures to control and manage air pollution, thereby mitigating its detrimental impact on human health. A novel hybrid prediction model is proposed, which is EMD-KMC-EC-SSA-VMD-LSTM.

View Article and Find Full Text PDF

Importance: The Veterans Health Administration (VHA) reports multiple indicators of hospital surgical performance, including hospital risk-standardized 30-day readmission rates (RSRRs). Currently, most routinely reported measures do not include readmissions that occur outside VHA hospitals. The impact of readmissions outside the VHA on hospital RSRR is not known.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!