FDA record research

Integrated Continuous Glucose Monitoring System For Professional Directed Retrospective Or Real-Time Use (QII) — FDA decisions, comparisons and evidence

The acquired FDA endpoint has no selected substantially-equivalent K-number decisions under primary product code QII during 2021–2025. Its latest selected record across the endpoint is dated 2019-10-07. Use that dated record only as historical context. Check the recorded scope and current route separately; these data do not provide a recent timing benchmark. The complete-year window has 0 decisions; the separate all-observed-date count is 1. These denominators describe different date ranges.

Evidence retrieved 2026-10-07. Source versions and topic-specific limits are listed below.

Recorded scope and its declared regulatory reference

An exact FDA-record regulation_number match to one acquired Title 21 section. Records with the same normalized scope definition, class, regulation and recorded submission/GMP flags are grouped. Sparse definitions and generic exemption boilerplate do not qualify. No text-similarity equivalence or legal applicability is inferred.

What scope does the FDA record describe?

An integrated continuous glucose monitoring system for professional directed retrospective or real-time use is a continuous glucose recording device indicated for use as directed by a physician either for the real-time management of diabetes at home or for the retrospective discovery, analysis, and interpretation of glycemic variability in persons age 2 and older by healthcare professionals to guide appropriate patient management. The system is also intended to interface with digitally connected devices.

Compare the proposed indication, user, anatomy, technology and operating principle with this actual scope; record differences and unresolved facts.

Cited source

Which current section does the record cite?

§ 862.1355 Integrated continuous glucose monitoring system. (a) Identification. An integrated continuous glucose monitoring system (iCGM) is intended to automatically measure glucose in bodily fluids continuously or frequently for a specified period of time. iCGM systems are designed to reliably and securely transmit glucose measurement data to digitally connected devices, including automated insulin dosing systems, and are intended to be used alone or in conjunction with these digitally connected medical devices for the purpose of managing a disease or condition related to glycemic control. (b) Classification. Class II (special controls). The special controls for this device are: (1) Design verification and validation must include the following: (i) Robust clinical data demonstrating the accuracy of the device in the intended use population. (ii) The clinical data must include a comparison between iCGM values and blood glucose values in specimens collected in parallel that are measured on an FDA-accepted laboratory-based glucose measurement method that is precise and accurate, and that is traceable to a higher order ( e.g., an internationally recognized reference material and/or method). (iii) The clinical data must be obtained from a clinical study designed to fully represent the performance of the device throughout the intended use population and throughout the measuring range of the device. (iv) Clinical study results must demonstrate consistent analytical and clinical performance throughout the sensor wear period. (v) Clinical study results in the adult population must meet the following performance requirements: (A) For all iCGM measurements less than 70 milligrams/deciliter (mg/dL), the percentage of iCGM measurements within ±15 mg/dL of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 85 percent. (B) For all iCGM measurements from 70 mg/dL to 180 mg/dL, the percentage of iCGM measurements within ±15 percent of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 70 percent. (C) For all iCGM measurements greater than 180 mg/dL, the percentage of iCGM measurements within ±15 percent of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 80 percent. (D) For all iCGM measurements less than 70 mg/dL, the percentage of iCGM measurements within ±40 mg/dL of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 98 percent. (E) For all iCGM measurements from 70 mg/dL to 180 mg/dL, the percentage of iCGM measurements within ±40 percent of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 99 percent. (F) For all iCGM measurements greater than180 mg/dL, the percentage of iCGM measurements within ±40 percent of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 99 percent. (G) Throughout the device measuring range, the percentage of iCGM measurements within ±20 percent of the corresponding blood glucose value must be calculated, and the lower one-sided 95 percent confidence bound must exceed 87 percent. (H) When iCGM values are less than 70 mg/dL, no corresponding blood glucose value shall read above 180 mg/dL. (I) When iCGM values are greater than 180 mg/dL, no corresponding blood glucose value shall read less than 70 mg/dL. (J) There shall be no more than 1 percent of iCGM measurements that indicate a positive glucose rate of change greater than 1 mg/dL per minute (/min) when the corresponding true negative glucose rate of change is less than −2 mg/dL/min as determined by the corresponding blood glucose measurements. (K) There shall be no more than 1 percent of iCGM measurements that indicate a negative glucose rate of change less than −1 mg/dL/min when the corresponding true positive glucose rate of change is greater than 2 mg/dL/min as determined by the corresponding blood glucose measurements. (vi) Data demonstrating similar accuracy and rate of change performance of the iCGM in the pediatric population as compared to that in the adult population, or alternatively a clinical and/or technical justification for why pediatric data are not needed, must be provided and determined by FDA to be acceptable and appropriate. (vii) Data must demonstrate that throughout the claimed sensor life, the device does not allow clinically significant gaps in sensor data availability that would prevent any digitally connected devices from achieving their intended use. (2) Design verification and validation must include a detailed strategy to ensure secure and reliable means of iCGM data transmission to provide real-time glucose readings at clinically meaningful time intervals to devices intended to receive the iCGM glucose data. (3) Design verification and validation must include adequate controls established during manufacturing and at product release to ensure the released product meets the performance specifications as defined in paragraphs (b)(1) and (b)(2) of this section. (4) The device must demonstrate clinically acceptable performance in the presence of clinically relevant levels of potential interfering substances that are reasonably present in the intended use population, including but not limited to endogenous substances and metabolites, foods, dietary supplements, and medications. (5) The device must include appropriate measures to ensure that disposable sensors cannot be used beyond its claimed sensor wear period. (6) Design verification and validation must include results obtained through a usability study that demonstrates that the intended user can use the device safely and obtain the expected glucose measurement accuracy. (7) The labeling required under § 809.10(b) of this chapter must include a separate description of the following sensor performance data observed in the clinical study performed in conformance with paragraph (b)(1) of this section for each intended use population, in addition to separate sensor performance data for each different iCGM insertion or use sites ( e.g., abdomen, arm, buttock): (i) A description of the accuracy in the following blood glucose concentration ranges: less than 54 mg/dL, 54 mg/dL to less than 70 mg/dL, 70 to 180 mg/dL, greater than 180 to 250 mg/dL, and greater than 250 mg/dL. (ii) A description of the accuracy of positive and negative rate of change data. (iii) A description of the frequency and duration of gaps in sensor data. (iv) A description of the true, false, missed, and correct alert rates and a description of the available glucose concentration alert settings, if applicable. (v) A description of the observed duration of iCGM life for the device. [87 FR 9238, Feb. 18, 2022]

Read the identification, classification, conditions and referenced limitations in the cited section. A numeric reference match is not a buyer classification or exemption determination.

Cited source

Historical FDA comparison

2021–2025: five complete calendar years

Primary code QII

All statistics in this section use decisions dated 2021-01-01 to 2025-12-31. The partial 2026 update below is excluded from these distributions.

0Selected decisions in these five years
WithheldMedian receipt-to-decision calendar days
0Valid date pairs in the distribution

There are 0 valid recent date pairs. Distribution summaries require at least 20; older records are not substituted for a current benchmark.

20210
20220
20230
20240
20250

Statistical source: FDA openFDA 510(k) decision dataset. Partition 1 Download the identified records and dates (CSV).

Filters, exclusions and reproducible calculation

Deduplicate by official submission ID across the complete current manifest partitions. Select exact primary product code, K-number format and the stated SE decision codes with valid dates. Recent distributions use the five complete calendar years preceding the latest valid endpoint decision year. Partial-year counts compare equal January-to-cutoff periods. Quartiles use linear interpolation at (n-1)*p and are withheld below 20 valid date pairs. The analysis n describes only its declared complete-year window; selected_se_n separately counts all selected recorded dates through the cutoff.

1 selected records across all observed dates; 0 other/invalid identifier or decision-date records excluded. 0 missing or invalid date pairs in the five-year window.

Date fields: date_received → decision_date. Quantiles: Hyndman–Fan type 7: linear interpolation at (n − 1) × p; displayed to one decimal; n ≥ 20 valid pairs.

Receipt-to-decision calendar elapsed time includes time outside active FDA review; it is not FDA review time, a promised project timeline or an estimate of future clearance. This selected recorded cohort does not include all applications or establish a success probability, predicate suitability, market size, current market availability or legal authorization for another product.

Calculation fda-buyer-research-3 · database cutoff 2026-09-27. CSV rows identify each official K-number, cohort, date pair, exclusion reason and source version.

Separate partial-year update

2026 decisions through 2026-09-27

0 selected decisions from 2026-01-01 to 2026-09-27. The equivalent previous-year period contains 0 decisions through 2025-09-27. These counts describe the records; they are not market growth or submission success rates.

Named records to investigate

Latest decisions across the database

These dated records may come from 2026 or earlier years. They are a separate investigation list, not the five-year statistical cohort. Compare the actual indications and technology before considering a record as a comparator.

Official record / deviceRecorded applicantDecisionRecorded typeCalendar days
K191833 ↗Dexcom G6 Pro Continuous Glucose Monitoring SystemDexcom, Inc.2019-10-07Traditional90

Supporting documents actually acquired

Go beyond the database row

Read the source context, then compare the evidence with your design. Topic locations below are text matches, including possible limitations or negative statements; they are not a mandatory test list.

The documents are a bounded sample of acquired summaries, not complete evidence coverage of the cohort.

Recorded classification context

Known context: US. Match the intended use and design with the recorded category before treating it as applicable.

Source factRecorded value
FDA product codeQII [1]
Generic device categoryIntegrated Continuous Glucose Monitoring System For Professional Directed Retrospective Or Real-Time Use [1]
Recorded scopeAn integrated continuous glucose monitoring system for professional directed retrospective or real-time use is a continuous glucose recording device indicated for use as directed by a physician either for the real-time management of diabetes at home or for the retrospective discovery, analysis, and interpretation of glycemic variability in persons age 2 and older by healthcare professionals to guide appropriate patient management. The system is also intended to interface with digitally connected devices. [1]
Recorded class2 [1]
Regulation862.1355 [1]
Medical specialtyClinical Chemistry [1]

Build a comparison that explains the differences

Use this checklist to gather your business or product details before speaking with a specialist. The items below explain what to record and suggest useful supporting documents. You can add your own answers in the editable project brief.

  1. Which specific part of the recorded scope fits or differs?

    Put your proposed label and design beside the quoted definition. Record matching facts, differences and missing facts separately; naming the category alone cannot resolve scope.

    Useful evidence: Proposed indication/design and a definition-to-product comparison with source locators.

  2. Have the cited section and its limitations been reviewed?

    Record the applicable paragraph, conditions and cross-referenced limitations after specialist review. Keep a claimed exemption separate from actual establishment, listing and quality-system responsibilities.

    Useful evidence: Dated classification/route rationale and the current provisions relied on, with unresolved conditions.

  3. Separate historical research from a recent comparator

    No selected decision falls in the complete-year window. Any named records shown are separately dated historical or current-year research. Obtain their actual indications and assess the current route before using a comparator; the absence of a recent record does not establish an exemption or a route.

    Useful evidence: Proposed indication/design, the dated named record if available, and a current route/comparator research rationale.

  4. Explain the technology and evidence differences

    For each comparison, record the different materials, hardware, software functions and operating conditions. Link each difference to existing evidence or an unresolved evaluation task.

    Useful evidence: A three-column matrix: comparator fact / your design fact / evidence or unresolved gap.

  5. Prepare a scope-based schedule without a sparse timing benchmark

    This recent cohort has fewer than 20 valid date pairs, so it supplies no median or percentile benchmark. Ask for a schedule based on actual preparation, evidence gaps, interactions and response assumptions; keep any historical decision context separately dated.

    Useful evidence: Document/test readiness, unresolved route/evidence tasks and the assumptions behind the specialist’s proposed sequence.

Work packages and dependencies

What needs to happen first

Questions for providers

Sources and data dates

Read the official document in context. The audit details identify the precise locators and preserved versions used for this page.

FDA openFDA — device classification records ↗

2026-10-05 · retrieved 2026-10-06

Audit details: precise locators and snapshot identifiers

Source key D01 · snapshot 936de5f5d47b9293b702fc32512a79173969fb788c74a63d9b91abe73f3b86a5

  • [1] device-classification-0001-of-0001.json:results[2901] · record 8b56cd43a8ab6c39b8550e714a6c77f63a52b1ed8e00b893744b98327f8eb112

FDA 510(k) summary — K191833 ↗

Thu, 07 Nov 2019 15:54:20 GMT · retrieved 2026-10-07

Audit details: precise locators and snapshot identifiers

Source key D02 · snapshot f32bc0081029f8b3c223623c76ec2350531ef64c5d565931ca8772b41b02b09d

  • [3] PDF page 9 · record 5c3082e274266de86905111427d597e983204ebf854e91851ff7eedef393606e
  • [4] PDF page 10 · record 56f6e91bae75e15838b6dbb70e8fdbb94a2676717e841e9eab2fc781398e8dc4

Prepare an editable project brief

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