PubMed Health⌕ Search

PubMed · 8774575

The discrepancy in discrepant analysis.

Abstract

Discrepant analysis is a widely used technique that attempts to provide estimates of sensitivity and specificity in the presence of an imperfect gold-standard. This technique has been applied by many researchers to estimate the sensitivity and specificity of DNA-amplification tests for Chlamydia trachomatis such as the plasmid-based ligase chain-reaction and polymerase chain-reaction tests. However, the sensitivity and specificity estimates obtained by discrepant analysis are upwardly biased, and this bias remains even when a perfect test is used to resolve the discrepant results. This technique should not be adopted for evaluating the performance of a diagnostic test.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

A Hadgu. 1996-08-31. The discrepancy in discrepant analysis.. https://doi.org/10.1016/s0140-6736(96)05122-7

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The correlation of TERT expression with c-myc expression in cervical cancer.

Recently putative catalytic telomerase subunit was identified as telomerase reverse transcriptase (TERT). Several reports showed that TERT expression correlated with telomerase activity. It has also been found that c-myc can induce telomerase activation through TERT expression. We examined expression of TERT and c-myc and their correlation in cervical cancers by reverse transcription-polymerase chain reaction (RT-PCR). It was found that TERT and c-myc expression was observed mostly in malignancies and expression of c-myc was concordant for positivity and negativity with TERT. These results support recent studies that c-myc expression is closely associated with TERT and telomerase activity. c-myc up-regulation may play an important role in activation of TERT and telomerase.

Cervix Uteri↗

Viral burden in genital secretions determines male-to-female sexual transmission of HIV-1: a probabilistic empiric model.

OBJECTIVE: To develop a model to predict transmission of HIV-1 from men to women. DESIGN: HIV-1 in seminal plasma, and endocervical CCR5 receptors were correlated with epidemiological studies of HIV-1 transmission to develop a probabilistic model. SETTINGS: Semen samples were collected from patient subjects in Seattle Washington, Chapel Hill, North Carolina, and St. Gallen, Switzerland. Endocervical biopsy specimens were obtained from women in Chicago, Illinois. PARTICIPANTS: Eighty-six men (not receiving antiretroviral therapy) in whom CD4 cell count and semen volume were available, and 24 women in whom the number of endocervical CCR5 receptors were determined. MAIN OUTCOME MEASURES: Prediction of transmission of HIV-1 from men to women per episode of vaginal intercourse based on the absolute burden of HIV (volume x HIV RNA copies/ml seminal plasma). RESULTS: The model suggests efficient heterosexual transmission of HIV-1 when semen viral burden is high. When semen contains 100 000 copies of non-syncytium-inducing (NSI) HIV RNA the probability of HIV-1 transmission is 1 per 100 episodes of intercourse; conversely, with 1000 copies NSI HIV RNA in semen, transmission probability is 3 per 10 000 episodes of intercourse. CONCLUSIONS: This model links biological and epidemiological data related to heterosexual HIV-1 transmission. The model can be used to estimate transmission of HIV from men with high semen viral burden from inflammation, or reduced burden after antiretroviral therapy. The results offer a biological explanation for the magnitude of the HIV epidemic in places where earlier studies have shown men have high semen viral burden, such as in sub-Saharan Africa. The model can be used to develop and test HIV-1 prevention strategies.

Cervix Uteri↗