Continuous glucose monitoring — the subcutaneous sensor that measures interstitial glucose every 5 minutes and displays readings on a smartphone or reader — transformed type 1 diabetes management over the past decade. In type 1 diabetes and insulin-using type 2 diabetes, CGM reduces A1c, reduces hypoglycemia events, and improves quality of life. The FDA cleared CGM for non-insulin type 2 diabetes, and payers including Medicare have expanded coverage. The question is whether CGM produces meaningful glycemic and clinical benefit in the much larger population of patients with type 2 diabetes managed with oral agents or GLP-1 receptor agonists — where there is no insulin to titrate in response to glucose readings.[1, 2]
The JAMA Internal Medicine systematic review identified 15 RCTs with 2,847 participants comparing CGM versus usual care (SMBG or clinical follow-up alone) in adults with type 2 diabetes not using insulin. The pooled effect on A1c was −0.50% (95% CI −0.64% to −0.36%), a statistically significant and clinically modest improvement. Time in range (70–180 mg/dL) improved by approximately 7–8 percentage points. Hypoglycemia events were numerically reduced, though most included trials were not powered to detect hypoglycemia differences in the non-insulin population.[1]
Critical findings from subgroup and quality analyses: The A1c benefit was larger in trials where participants had higher baseline A1c (≥8.5%) — suggesting that CGM has more room to help patients with genuinely poor glycemic control than those already near target. Trials lasting beyond 6 months showed attenuating effect sizes, raising the question of whether initial behavior-change from seeing real-time glucose data is sustained over time. Studies using intermittently scanned CGM (Libre-type devices) and real-time CGM showed similar magnitudes of benefit. No trial was powered to assess cardiovascular events, hospitalizations, or microvascular outcomes — the endpoints that matter most.[1, 3]
Clinical Context
The evidence base for CGM in type 2 diabetes has accumulated rapidly since the DIAMOND trial (2017, Ann Intern Med), which demonstrated that CGM reduced A1c by 1.0% (vs 0.5% with SMBG) in insulin-using type 2 diabetes patients over 24 weeks.[2] The MOBILE trial (2021, JAMA), crucially, extended CGM benefit to type 2 diabetes patients using only basal insulin — a much larger population — showing a 0.4% greater A1c reduction and fewer hypoglycemic episodes over 8 months.[3] These two trials anchored Medicare's 2023 coverage expansion to non-insulin type 2 diabetes. What remained uncertain after MOBILE was whether the benefit extends to the largest tier of type 2 diabetes patients: those managed with oral agents or GLP-1 agonists alone, without any insulin.
The plausible mechanism for CGM benefit in non-insulin users is behavioral: continuous feedback on how specific meals, activity patterns, and stress affect glucose may reinforce lifestyle choices in a way that quarterly A1c measurements cannot. Several smaller trials had reported modest A1c reductions in this population, but they were underpowered and often unblinded, making placebo effects from increased self-monitoring attention impossible to separate from true glucose feedback effects. A rigorous systematic review and meta-analysis that pools these studies — with attention to bias and heterogeneity — is the appropriate instrument to resolve whether the A1c reduction observed is large enough, consistent enough, and produced through a mechanism specific enough to justify CGM in non-insulin type 2 diabetes at scale.[2]
Why It Matters Clinically
CGM in non-insulin T2D is a real tool with a modest real effect. The patients most likely to benefit are those with A1c ≥8.5% where glucose variability is high, those on sulfonylureas where hypoglycemia detection has clear value, and those with high motivation to engage with dietary modification based on glucose feedback (e.g., identifying postprandial spikes after specific foods). CGM is not the first step for a patient with A1c 7.1% on metformin who is already eating well. It is a reasonable step for a patient with A1c 9% who is motivated but doesn't understand which foods drive their glucose.
The mechanism by which CGM improves glycemia in non-insulin users differs from the insulin-titration mechanism. In patients not using insulin, there is no rapid dose to adjust in response to a high reading. The benefit appears to be behavioral: seeing the real-time glucose response to meals, physical activity, sleep, and stress gives patients a feedback loop that supports dietary and lifestyle modification. This is a different proposition than insulin-using diabetes management. Whether it produces durable behavior change or only transient improvement — the "Hawthorne effect" of being observed, which resolves when novelty wears off — remains the key unanswered question after this meta-analysis.[2, 3]
Limitations
Most trials lasted only 3–6 months — too short to assess durability of glycemic benefit or impact on microvascular complications. The 0.5% A1c reduction, while statistically significant, is modest and may not justify the cost of CGM devices in resource-limited settings when compared to medication intensification. Trials enrolled predominantly White populations in high-income countries; generalizability is limited. No trial assessed CGM combined with structured dietary counseling versus CGM alone — the behavioral support needed to actualize CGM's potential.
References
[1] Dower JA, et al. Continuous Glucose Monitoring in Type 2 Diabetes and Beyond. JAMA Intern Med. 2026. DOI: 10.1001/jamainternmed.2026.2772. [Full Text ↗]
[2] Beck RW, Riddlesworth TD, et al. Continuous Glucose Monitoring Versus Usual Care in Patients With Type 2 Diabetes Receiving Multiple Daily Insulin Injections (DIAMOND T2D). Ann Intern Med. 2017;167:365-374. PMID: 28828487. [PubMed ↗]
[3] Bergenstal RM, et al. Effect of Continuous Glucose Monitoring on Glycemic Control in Patients With Type 2 Diabetes Treated With Basal Insulin (MOBILE). JAMA. 2021;325(22):2262-2272. PMID: 34077499. [PubMed ↗]