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510(k) Data Aggregation

    K Number
    K110247
    Date Cleared
    2011-06-10

    (133 days)

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

    Powder Free Nitrile Patient Examination Gloves,Blue Color is a non-sterile disposable device intended for medical purposes that is worn on the examiner's hand or finger to prevent contamination between patient and examiner.

    Device Description

    Powder Free Nitrile Patient Examination Gloves,Blue Color are disposable device which made of nitrile synthetic rubber , intended for medical purposes that is worn on the examiner's hand or finger to prevent contamination between patient and examiner and they meets all of the requirements of ASTM standard D 6319 00a (2005)e1.

    AI/ML Overview

    The provided document describes the acceptance criteria and the study conducted for the "Powder Free Nitrile Patient Examination Gloves, Blue Color." This is a medical device, and the evaluation focuses on its physical and biological properties.

    Here's a breakdown of the requested information:

    1. Table of acceptance criteria and the reported device performance

    CharacteristicsStandard (Acceptance Criteria)Device Performance
    DimensionASTM standard D 6319 00a (2005)e1.Meets
    Physical PropertiesASTM standard D 6319 00a (2005)e1.Meets
    Freedom from pinholes21 CFR 800.20Meets
    Powder ResidualASTM standard D 6319 00a (2005)e1. and D6124-06Meets (<2mg/glove)
    BiocompatibilityPrimary Skin Irritation in rabbits (ISO 10993-10)Dermal sensitization in the guinea pig (ISO 10993-10)PassesNot a Primary Skin IrritationPassesNot a Dermal sensitization

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    The document does not specify the exact sample sizes used for each of the tests. It states that "The performance test data of the non-clinical tests that support a determination of substantial equivalent is the same as mentioned immediately above," referring to the standards. This implies that the tests were conducted according to the sampling requirements within those ASTM and ISO standards and 21 CFR regulations.

    The submitter's address is "JiangSu DongLing Plastic & Rubber Co.,Ltd, DongWu Road, Economic Development Zone, SuQian, JiangSu Province, 223800, China," indicating the data provenance is likely China. The study appears to be prospective for the device being submitted, as it involves testing the specific product for its 510(k) submission.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    This is a physical and biocompatibility testing of a medical glove, not a diagnostic device requiring expert interpretation of images or other data to establish ground truth. Therefore, the concept of "experts" in the context of image or data interpretation to establish ground truth does not apply to this device. The "ground truth" is established by the direct measurement against objective standards (e.g., tensile strength, elongation, water leak test for pinholes, chemical analysis for powder, and animal studies for biocompatibility).

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    Given the nature of the device and testing, an adjudication method for a test set (like for ground truth establishment in diagnostic studies) is not applicable. The tests performed are objective measurements against defined standards.

    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

    No, a multi-reader multi-case (MRMC) comparative effectiveness study was not done. This type of study is relevant for diagnostic devices involving human interpretation (e.g., radiologists analyzing medical images with and without AI assistance). The device in question is a medical glove, which does not involve human readers interpreting data.

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

    No, a standalone study (in the context of an algorithm's performance without human-in-the-loop) was not done. This type of study is relevant for AI/ML-based diagnostic algorithms. The performance of the glove is evaluated through physical, chemical, and biological tests, not through an algorithm.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    The ground truth for this device is based on objective measurement against established ASTM and ISO standards and FDA regulations. Examples include:

    • Physical measurements: Verifying dimensions, tensile strength, and elongation meet the specified ranges.
    • Chemical analysis: Measuring powder residual to ensure it's below the threshold.
    • Leak testing: (Freedom from pinholes) through water leak tests as per 21 CFR 800.20.
    • Biocompatibility testing: Animal studies (rabbits for primary skin irritation, guinea pigs for dermal sensitization) as per ISO 10993-10 standards.

    8. The sample size for the training set

    Not Applicable. This device is a manufactured product (medical glove), not an AI/ML algorithm. Therefore, there is no "training set" in the context of machine learning. The manufacturing process is controlled to ensure consistent product quality.

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

    Not Applicable. As there is no training set for an AI/ML algorithm, the concept of establishing ground truth for a training set does not apply.

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