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510(k) Data Aggregation

    K Number
    K122788
    Date Cleared
    2013-01-17

    (128 days)

    Product Code
    Regulation Number
    880.6250
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The examination glove is a disposuble device intended for medical purposes that is worn on the examiner's hand or finger to prevent contamination between patient and examiner.

    Device Description

    Textured, White, Latex, Sterile Powder Free Examination Gloves with Protein labeling Claim (50µg/dm² or Less of Water Soluble Protein)

    AI/ML Overview

    Here's an analysis based on the provided text, outlining the acceptance criteria and the study details:

    1. Table of Acceptance Criteria and Reported Device Performance

    CharacteristicAcceptance Criteria (Standard)Device Performance
    DimensionASTM Standard D3578Meets
    Physical PropertiesASTM Standard D3578Meets
    Freedom from Pinholes21 CFR 800.20; ASTM D5151Meets
    Powder ResidualASTM Standard D6124Meets (values below 2mg of residual powder)
    Protein LevelASTM Standard D5712Meets (values below 50 mcg/gm)
    Biocompatibility (Primary Skin Irritation)ISO 10993-10Passes
    Biocompatibility (Dermal Sensitization)ISO 10993-10Gloves do not display any potential for sensitization
    SterilizationRadiation dose of 25 kGy (implied as "Same" to predicate)Radiation dose of 25 kGy (from predicate)

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not explicitly state the sample sizes used for testing each characteristic. However, each standard (ASTM, ISO, 21 CFR) defines specific methodologies and sample sizes for their respective tests. For example, ASTM D5151 (Freedom from Pinholes) would specify a certain number of gloves to be tested.

    The data provenance is not explicitly mentioned, but given the context of a 510(k) submission to the FDA, it is expected that the testing was conducted prospectively according to the listed standards. No information on country of origin for the data is provided, nor is it indicated if it's retrospective.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications of Experts

    This information is not applicable (N/A) to this type of device (examination gloves). The "ground truth" for glove performance is established by objective measurements against harmonized standards (e.g., ASTM, ISO), not by expert consensus or interpretation of images/data. The tests are industrial and chemical, not interpretive.

    4. Adjudication Method for the Test Set

    This information is N/A for this device. Adjudication methods like 2+1 or 3+1 are typically used in studies where human interpretation of data (e.g., medical images) is involved and discrepancies need to be resolved. For objective measurements of physical, chemical, and biological properties, results are either within spec or not.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and Effect Size

    This information is N/A for this device. MRMC studies are used to evaluate the impact of an AI algorithm on human reader performance, typically in diagnostic imaging. The device in question is a physical glove, not an AI system.

    6. If a Standalone Study (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    This information is N/A for this device. A "standalone study" typically refers to the performance of an AI algorithm independent of human interaction. The device is a physical product, not an algorithm.

    7. The Type of Ground Truth Used

    The ground truth for this device's performance is established by objective measurements against recognized national and international standards. These standards define the acceptable range or threshold for each characteristic (e.g., minimum elongation, maximum protein level, freedom from pinholes). There is no "expert consensus," "pathology," or "outcomes data" in the traditional sense for these performance criteria.

    8. The Sample Size for the Training Set

    This information is N/A for this device. The concept of a "training set" (used to train machine learning models) is not relevant to the evaluation of physical medical devices like examination gloves. Development of such gloves involves manufacturing processes and quality control, not AI model training.

    9. How the Ground Truth for the Training Set Was Established

    This information is N/A for this device, for the same reasons as point 8.

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