| Literature DB >> 35921329 |
Marco A Biamonte1, Paul T Cantey2, Yaya I Coulibaly3, Katherine M Gass4, Louise C Hamill5, Christopher Hanna6, Patrick J Lammie4, Joseph Kamgno7, Thomas B Nutman8, David W Oguttu9, Dieudonné P Sankara10, Wilma A Stolk11, Thomas R Unnasch12.
Abstract
In June 2021, the World Health Organization (WHO), recognizing the need for new diagnostics to support the control and elimination of onchocerciasis, published the target product profiles (TPPs) of new tests that would support the two most immediate needs: (a) mapping onchocerciasis in areas of low prevalence and (b) deciding when to stop mass drug administration programs. In both instances, the test should ideally detect an antigen specific for live, adult O. volvulus female worms. The preferred format is a field-deployable rapid test. For mapping, the test needs to be ≥ 60% sensitive and ≥ 99.8% specific, while to support stopping decisions, the test must be ≥ 89% sensitive and ≥ 99.8% specific. The requirement for extremely high specificity is dictated by the need to detect with sufficient statistical confidence the low seroprevalence threshold set by WHO. Surveys designed to detect a 1-2% prevalence of a given biomarker, as is the case here, cannot tolerate more than 0.2% of false-positives. Otherwise, the background noise would drown out the signal. It is recognized that reaching and demonstrating such a stringent specificity criterion will be challenging, but test developers can expect to be assisted by national governments and implementing partners for adequately powered field validation.Entities:
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Year: 2022 PMID: 35921329 PMCID: PMC9377578 DOI: 10.1371/journal.pntd.0010682
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Effect of specificity on the Type II error of a cluster survey involving 20 villages, and 50 people/village.
No sensitivity assumptions were made. The critical cutoff was ≥ 2 positive tests in at least 1 village. The calculations were made for a true prevalence of 0%. At least 99.8% specificity is required to reach a Type II error of < 10%.
| Entry | Sensitivity | Specificity | True Prevalence | Critical cutoff | Type II error |
|---|---|---|---|---|---|
| 1 | NA | 99.0% | 0% | ≥ 2 positives | 84.6% |
| 2 | NA | 99.5% | 0% | ≥ 2 positives | 41.1% |
| 3 | NA | 99.6% | 0% | ≥ 2 positives | 29.5% |
| 4 | NA | 99.7% | 0% | ≥ 2 positives | 18.3% |
| 5 | NA | 99.8% | 0% | ≥ 2 positives | 8.8% |
| 6 | NA | 99.9% | 0% | ≥ 2 positives | 2.3% |
Selected features of the target product profile of a diagnostic to map onchocerciasis in low prevalence areas.
Criteria that are generally expected of a rapid diagnostic test for a NTD are not included in this summary. For all 41 criteria, please see the original publication [5]. The word “biomarker” includes an antibody.
| 1. Product use summary | Ideal | Minimum |
|---|---|---|
| 1.1 Intended use | An | An |
| 1.2 Targeted population | All ages of individuals resident in the population living in the defined geographic area. | Sentinel groups of school-age children living in the defined geographic area. |
| 1.3 Lowest infrastructure level | The test will be performed under "zero-infrastructure" conditions including but not limited to community health centers, households, and outdoor conditions. | If the required levels of performance necessitate a laboratory-based test, tests can be performed in a centralized laboratory. |
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| 2.8 Target analyte | Antigen(s) or other biomarker(s) specific for live, adult | Biomarker(s) to detect exposure to |
| 2.9 Type of analysis | Quantitative | Qualitative |
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| 3.1 Species differentiation | Can differentiate | Same |
| 3.2 Diagnostic/clinical sensitivity | ≥ 60% | Same |
| 3.3 Diagnostic/clinical specificity | ≥ 99.8% | Same |
| 3.7. Target shelf life/stability | Stable for 36 months at 4–40°C. | If laboratory based: ≥12 months at 4 C; temperature excursion of 50 C for one week acceptable. |
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| 5.1 Target pricing per test | Mapping: < $1.00 | Mapping: < $2.50 |
Selected features of the target product profile of a diagnostic to support an MDA stopping decision.
Criteria that are generally expected of a rapid diagnostic test for a NTD are not included in this summary. For all 41 criteria, please see the original publication [5]. The word “biomarker” includes an antibody.
| 1. Product use summary | Ideal | Minimum |
|---|---|---|
| 1.1 Intended use | An | An |
| 1.2 Targeted population | All ages of individuals resident in the population living in the defined geographic area. | Sentinel groups of school-age children living in the defined geographic area. |
| 1.3 Lowest infrastructure level | The test will be performed under "zero-infrastructure" conditions including but not limited to community health centers, households, and outdoor conditions. | If the required levels of performance necessitate a laboratory-based test, tests can be performed in a centralized laboratory. |
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| 2.8 Target analyte | Antigen(s) or other biomarker(s) specific for live, adult | Biomarker(s) to detect exposure to |
| 2.9 Type of analysis | Quantitative | Qualitative |
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| 3.1 Species differentiation | Can differentiate | Same |
| 3.2 Diagnostic/clinical sensitivity | ≥ 89% | Same |
| 3.3 Diagnostic/clinical specificity | ≥ 99.8% | Same |
| 3.7. Target shelf life/stability | Stable for 36 months at 4–40°C. | If laboratory based: ≥12 months at 4 C; temperature excursion of 50 C for one week acceptable. |
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| 5.1 Target pricing per test | < $2.00 | < $3.00 |
Effect of sensitivity on the Type I error of a cluster survey involving 20 villages, and 50 people/participant.
A specificity of 99.8% was assumed. The critical cutoff was ≥ 2 positive tests in at least 1 village. The calculations were made for a true prevalence of 2%. At least 60% sensitivity is required to reach a Type I error of < 5%.
| Entry | Sensitivity | Specificity | True Prevalence | Critical cutoff | Type I error |
|---|---|---|---|---|---|
| 1 | 100% | 99.8% | 2% | ≥ 2 positives | 0.08% |
| 2 | 90% | 99.8% | 2% | ≥ 2 positives | 0.22% |
| 3 | 80% | 99.8% | 2% | ≥ 2 positives | 0.59% |
| 4 | 70% | 99.8% | 2% | ≥ 2 positives | 1.48% |
| 5 | 60% | 99.8% | 2% | ≥ 2 positives | 3.50% |
| 6 | 50% | 99.8% | 2% | ≥ 2 positives | 7.68% |
Effect of specificity on the Type II error of a 30-cluster survey, where treatment decisions are based on the average prevalence of the entire survey area.
No sensitivity assumptions were made. The critical cutoff was ≥ 19 positive tests out of a sample size of 3000. The calculations were made for a true prevalence of 0%. At least 99.6% specificity is required to have a Type II error of < 10%.
| Entry | Sensitivity | Specificity | True Prevalence | Critical cutoff | Type II error |
|---|---|---|---|---|---|
| 1 | NA | 99.5% | 0% | ≥ 19 positives | 18.0% |
| 2 | NA | 99.6% | 0% | ≥ 19 positives | 3.7% |
| 3 | NA | 99.7% | 0% | ≥ 19 positives | 0.2% |
Effect of sensitivity on the Type I error of a 30-cluster survey involving 3000 children, where treatment decisions are based on the average prevalence of the entire survey area.
A specificity of 99.8% was assumed. The critical cutoff was ≥ 19 positive tests. The calculations were made for a true prevalence of 1%. At least 50% sensitivity is required to have a Type I error of < 5%.
| Entry | Sensitivity | Specificity | True Prevalence | Critical cutoff | Type I error |
|---|---|---|---|---|---|
| 1 | 100% | 99.6% | 1% | ≥ 19 positives | 0% |
| 2 | 90% | 99.6% | 1% | ≥ 19 positives | 0.01% |
| 3 | 80% | 99.6% | 1% | ≥ 19 positives | 0.07% |
| 4 | 70% | 99.6% | 1% | ≥ 19 positives | 0.33% |
| 5 | 60% | 99.6% | 1% | ≥ 19 positives | 1.3% |
| 6 | 50% | 99.6% | 1% | ≥ 19 positives | 4.58% |
Effect of specificity on the Type II error when treatment decisions are based on the cluster-specific results, assuming 30 clusters are surveyed and 100 children/cluster.
No sensitivity assumptions were made. The critical cutoff was ≥ 3 positive tests in at least 1 village. The calculations were made for a true prevalence of 0%. At least 99.7% specificity is required to have a Type II error of < 10%.
| Entry | Sensitivity | Specificity | True Prevalence | Critical cutoff | Type II error |
|---|---|---|---|---|---|
| 1 | NA | 99% | 0% | ≥ 3 positives | 91.6% |
| 2 | NA | 99.5% | 0% | ≥ 3 positives | 34.7% |
| 3 | NA | 99.6% | 0% | ≥ 3 positives | 20.8% |
| 4 | NA | 99.7% | 0% | ≥ 3 positives | 10.1% |
| 5 | NA | 99.8% | 0% | ≥ 3 positives | 3.3% |
| 6 | NA | 99.9% | 0% | ≥ 3 positives | 0.5% |
Effect of sensitivity on the Type I error when treatment decisions are based on the cluster-specific results, assuming 30 clusters are surveyed and 100 children/cluster.
A specificity of 99.8% was assumed. The critical cutoff was ≥ 2 positive tests in at least 1 village. The calculations were made for a true prevalence of 1%. At least 89% sensitivity is required to have a Type I error of < 5%.
| Entry | Sensitivity | Specificity | True Prevalence | Critical cutoff | Type I error |
|---|---|---|---|---|---|
| 1 | 100% | 99.8% | 1% | ≥ 3 positives | 2.2% |
| 2 | 95% | 99.8% | 1% | ≥ 3 positives | 3.2% |
| 3 | 90% | 99.8% | 1% | ≥ 3 positives | 4.5% |
| 4 | 89% | 99.8% | 1% | ≥ 3 positives | 4.8% |
| 5 | 88% | 99.8% | 1% | ≥ 3 positives | 5.2% |