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510(k) Data Aggregation

    K Number
    K963275
    Date Cleared
    1996-09-13

    (24 days)

    Product Code
    Regulation Number
    866.5100
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    RELISA ENA SINGLE WELL SCREEN ANTIBODY TEST SYSTEM

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    This test system is for in vitro diagnostic use for the detection of antibodies to nuclear antigens Sm, RNP, SS-A/RO, SS-B/La, Scl-70, or Jo-1 in human serum. The results from this assay can be used as an aid in the diagnosis of autoimmune diseases.

    Device Description

    This is an enzyme immunoassay for the detection of antibodies to extractable nuclear antigens Sm, RNP, SS-A/RO, SS-B/La, Scl-70, or Jo-1 in human serum.

    AI/ML Overview

    Here's an analysis of the provided text to extract the requested information about device acceptance criteria and the supporting study:

    1. A table of acceptance criteria and the reported device performance

    Based on the provided text, the acceptance criteria are not explicitly stated as distinct criteria, but rather are inferred from the performance metrics (sensitivity, specificity, and overall agreement) presented to demonstrate substantial equivalence to a predicate device. The performance is reported in relation to the predicate device.

    Performance MetricAcceptance Criteria (Inferred from equivalence claim)Reported Device Performance (RELISA® ENA Single Well Screen)
    Relative SensitivityHigh (to show equivalence with predicate)97.9%
    Relative SpecificityHigh (to show equivalence with predicate)97.8%
    Overall AgreementHigh (to show equivalence with predicate)97.8%

    2. Sample size used for the test set and the data provenance

    • Test set sample size:
      • The table indicates the total number of samples tested by referring to the "Immuno Concepts RELISA® Multiparameter ENA Screening Test" as the reference method.
      • Total samples = 126 (Positive) + 9 (Positive) + 5 (Positive) + 0 (Borderline) + 2 (Borderline) + 4 (Borderline) + 1 (Negative) + 2 (Negative) + 394 (Negative) = 543 samples
    • Data Provenance: Not specified in the provided text (e.g., country of origin, retrospective/prospective).

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    • This information is not provided in the text. The "ground truth" or reference method for comparison is the "Immuno Concepts RELISA® Multiparameter ENA Screening Assay (K935129)," which is another diagnostic test, not expert opinion.

    4. Adjudication method for the test set

    • This information is not applicable/provided. The "ground truth" was established by a predicate diagnostic device, not by human experts requiring adjudication.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, if so, what was the effect size of how much human readers improve with AI vs without AI assistance

    • This is not an MRMC study. The device is an in vitro diagnostic test (enzyme immunoassay) for detecting antibodies, not an AI system for image interpretation or diagnosis by human readers. Therefore, this question is not relevant to the provided study description.

    6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done

    • Yes, this study is inherently a standalone performance evaluation of the RELISA® ENA Single Well Screen Antibody Test System. It compares the device's results directly against a predicate diagnostic device without human interpretation as part of the primary measurement.

    7. The type of ground truth used

    • The "ground truth" (or reference standard in this context) used was the Immuno Concepts RELISA® Multiparameter ENA Screening Assay (K935129). This is a previously cleared, legally marketed diagnostic device.

    8. The sample size for the training set

    • The text does not provide information on a training set. This study describes a performance comparison of a final device against a predicate, which aligns with verification/validation testing rather than a description of the model development phase.

    9. How the ground truth for the training set was established

    • As there's no mention of a training set, this information is not applicable/provided.
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