Evidence map›Paper›PMID 42842246›Full record

ArticleJAMA network open2026

Continuous Glucose Monitoring and Long-Term Glycemic and Kidney Outcomes.

Andrew J Karter, Melissa M Parker, Holly Finertie, Joshua R Nugent, Lisa K Gilliam, Ajit Mahapatra

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrew J KarterDivision of Research, Kaiser Permanente, Pleasanton, California.
Melissa M ParkerDivision of Research, Kaiser Permanente, Pleasanton, California.
Holly FinertieDivision of Research, Kaiser Permanente, Pleasanton, California.
Joshua R NugentDivision of Research, Kaiser Permanente, Pleasanton, California.
Lisa K GilliamKaiser Permanente Northern California Diabetes Program, Endocrinology, Kaiser Permanente, South San Francisco Medical Center, South San Francisco.
Ajit MahapatraKaiser Permanente Northern California Diabetes Nephrology Workgroup, Division of Nephrology, Kaiser Permanente, Santa Clara Medical Center, Santa Clara.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Real-time continuous glucose monitoring (rtCGM) improves short-term glycemic control in diabetes. However, scant evidence exists regarding rtCGM's longer-term benefits for glycemia or kidney health. Objective: To evaluate whether rtCGM initiation and sustained use is associated with improved glycemic control and kidney markers in high-risk adults with type 2 diabetes (T2D). Design, Setting, and Participants: This comparative effectiveness research study compared glycemic control and kidney markers among high-risk adults with T2D initiating and sustaining use of rtCGM (rtCGM arm) vs no initiation (controls) using inverse probability-weighted marginal structural models to estimate per-protocol outcomes of an emulated target trial. Target trial eligibility criteria were as follows: age of 19 years or older, T2D, no prior CGM use, and poor glycemic control (hemoglobin A1c [HbA1c] >8%) or emergency department or inpatient treatment for hypoglycemia. Baseline was defined by the rtCGM initiation date and applied to temporally matched CGM-naive controls who met the eligibility criteria, sampled monthly from risk sets from January 1, 2015, to June 30, 2023. Data were censored at nonadherence to the target trial protocol (eg, rtCGM arm discontinued use or controls initiated CGM), coverage gaps, death, or after 36 months of follow-up. Data analysis was performed July 2025 to March 2026. Exposure: rtCGM use. Main Outcomes and Measures: Cumulative differences for HbA1c, urinary albumin-creatinine ratio (UACR), and estimated glomerular filtration rate (eGFR). Results: The study included 25 648 individuals (2771 in the rtCGM arm and 22 877 in the control arm) who were target trial eligible (mean [SD] age, 61.5 [13.1] years; 13 885 [54.7%] male). The mean (SD) baseline HbA1c level was 9.5% (1.5%). After 36 months of follow-up, the rtCGM arm had an approximately 0.8-percentage point lower HbA1c level than controls (7.83% [95% CI, 7.55%-8.11%] vs 8.58% [95% CI, 8.49%-8.66%], P < .001). There was substantial attrition during follow-up; 1228 (44.3%) in the rtCGM arm were censored due to discontinuation and 4284 (18.7%) in the control group were censored due to CGM initiation. There were no significant differences in UACR between arms initially; however, by the end of 36 months, rtCGM initiators had a UACR of 125.3 mg/g (95% CI, -196.6 to -54.0 mg/g; P = .001) lower than that of controls. There were no differences in eGFR during follow-up. Conclusions and Relevance: In this comparative effectiveness study using a target trial emulation, sustained, longer-term use of rtCGM was associated with durable improvements in glycemic control and later regression of UACR. By addressing glycemic deterioration, rtCGM may extend the time before pharmacologic escalation is required and potentially delay diabetic kidney disease progression.

Indexed as

Blood GlucoseContinuous Glucose MonitoringDiabetes Mellitus, Type 2Glycemic ControlAgedComparative Effectiveness ResearchFemaleGlomerular Filtration RateGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated Hemoglobin

Identifiers

PMID42842246
PMCPMC13647144

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.