Accuracy of Fecal Immunochemical Tests for Colorectal Cancer
Kaiser Permanente Center for Health Research · University of California, San Francisco · +1 more institution
Abstract
Performance characteristics of fecal immunochemical tests (FITs) to screen for colorectal cancer (CRC) have been inconsistent. PURPOSE: To synthesize data about the diagnostic accuracy of FITs for CRC and identify factors affecting its performance characteristics. DATA SOURCES: Online databases, including MEDLINE and EMBASE, and bibliographies of included studies from 1996 to 2013. STUDY SELECTION: All studies evaluating the diagnostic accuracy of FITs for CRC in asymptomatic, average-risk adults. DATA EXTRACTION: Two reviewers independently extracted data and critiqued study quality. DATA SYNTHESIS: Nineteen eligible studies were included and meta-analyzed. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of FITs for CRC were 0.79 (95% CI, 0.69 to 0.86), 0.94 (CI, 0.92 to 0.95), 13.10 (CI, 10.49 to 16.35), 0.23 (CI, 0.15 to 0.33), respectively, with an overall diagnostic accuracy of 95% (CI, 93% to 97%). There was substantial heterogeneity between studies in both the pooled sensitivity and specificity estimates. Stratifying by cutoff value for a positive test result or removal of discontinued FIT brands resulted in homogeneous sensitivity estimates. Sensitivity for CRC improved with lower assay cutoff values for a positive test result (for example, 0.89 [CI, 0.80 to 0.95] at a cutoff value less than 20 µg/g vs. 0.70 [CI, 0.55 to 0.81] at cutoff values of 20 to 50 µg/g) but with a corresponding decrease in specificity. A single-sample FIT had similar sensitivity and specificity as several samples, independent of FIT brand.
Only English-language articles were included. Lack of data prevented complete subgroup analyses by FIT brand.
Citation impact
- FWCI
- 28.04
- Percentile
- 100%
- References
- 66
Authors
5- JKJeffrey K. LeeCorresponding
Kaiser Permanente Center for Health Research, University of California, San Francisco, Kaiser Permanente
- ELElizabeth Liles
University of California, San Francisco, Kaiser Permanente Center for Health Research, Kaiser Permanente
- SBStephen Bent
Kaiser Permanente Center for Health Research, Kaiser Permanente, University of California, San Francisco
- TRTheodore R. Levin
University of California, San Francisco, Kaiser Permanente, Kaiser Permanente Center for Health Research
- DADouglas A. Corley
Kaiser Permanente Center for Health Research, University of California, San Francisco, Kaiser Permanente
Topics & keywords
- Medicine
- Cutoff
- Likelihood ratios in diagnostic testing
- Colorectal cancer
- Internal medicine
- Meta-analysis
- Asymptomatic
- Gastroenterology
- Good health and well-being