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Test sensitivity and specificity vary widely among the many tests reported for the serologic diagnosis of schistosomiasis and depend on the type of antigen preparations used (crude, purified, adult worm, egg, cercarial) and the test procedure.
As of 2012 commercial serological tests have included ELISA and an indirect immunofluorescence test, hampered by a low sensitivity ranging from 21% to 71%. [24] Exposure to any Schistosoma eggs or cercariae can cause false positive serological test results for individual Schistosoma species, unless highly specific antigens are used.
Schistosoma is a genus of trematodes, commonly known as blood flukes.They are parasitic flatworms responsible for a highly significant group of infections in humans termed schistosomiasis, which is considered by the World Health Organization to be the second-most socioeconomically devastating parasitic disease (after malaria), infecting millions worldwide.
It was developed in 1954 by Japanese medical laboratory scientist Dr. Katsuya Kato (1912–1991). [6] [7] The technique was modified for use in field studies in 1972 by a Brazilian team of researchers led by Brazilian parasitologist Naftale Katz (b.1940), [8] [9] and this modification was adopted by the WHO as a gold standard for multiple helminth infections.
It is found in Africa and the Middle East. It is the major agent of schistosomiasis, the most prevalent parasitic infection in humans. [1] It is the only blood fluke that infects the urinary tract, causing urinary schistosomiasis, and is a leading cause of bladder cancer (only next to tobacco smoking). [2] [3] The diseases are caused by the eggs.
It causes intestinal schistosomiasis (similar to S. japonicum, S. mekongi, S. guineensis, and S. intercalatum). Clinical symptoms are caused by the eggs. As the leading cause of schistosomiasis in the world, it is the most prevalent parasite in humans. It is classified as a neglected tropical disease.
In medical diagnosis, test sensitivity is the ability of a test to correctly identify those with the disease (true positive rate), whereas test specificity is the ability of the test to correctly identify those without the disease (true negative rate). If 100 patients known to have a disease were tested, and 43 test positive, then the test has ...
They use the sensitivity and specificity of the test to determine whether a test result usefully changes the probability that a condition (such as a disease state) exists. The first description of the use of likelihood ratios for decision rules was made at a symposium on information theory in 1954. [ 1 ]