Cited by 27Diabetes Management and ResearchBariatric Surgery and OutcomesDiabetes Treatment and Management

Continuous glucose monitoring in patients with post‐bariatric hypoglycaemia reduces hypoglycaemia and glycaemic variability

Open access
Cummings, Cameron, Jiang, Alex, Sheehan, Amanda, Ferraz‐Bannitz, Rafael, Puleio, Alexa, Simonson, Donald C., Dreyfuss, Jonathan M., Patti, Mary Elizabeth·2023·Diabetes, Obesity and Metabolism

Abstract

Aim: To determine whether continuous glucose monitoring (CGM) can reduce hypoglycaemia in patients with post‐bariatric hypoglycaemia (PBH). Materials and Methods: In an open‐label, nonrandomized, pre‐post design with sequential assignment, CGM data were collected in 22 individuals with PBH in two sequential phases: (i) masked (no access to sensor glucose or alarms); and (ii) unmasked (access to sensor glucose and alarms for low or rapidly declining sensor glucose). Twelve participants wore the Dexcom G4 device for a total of 28 days, while 10 wore the Dexcom G6 device for a total of 20 days. Results: Participants with PBH spent a lower percentage of time in hypoglycaemia over 24 hours with unmasked versus masked CGM (<3.3 mM/L, or <60 mg/dL: median [median absolute deviation {MAD}] 0.7 [0.8]% vs. 1.4 [1.7]%, P = 0.03; <3.9 mM/L, or <70 mg/dL: median [MAD] 2.9 [2.5]% vs. 4.7 [4.8]%; P = 0.04), with similar trends overnight. Sensor glucose data from the unmasked phase showed a greater percentage of time spent between 3.9 and 10 mM/L (70‐180 mg/dL) (median [MAD] 94.8 [3.9]% vs. 90.8 [5.2]%; P = 0.004) and lower glycaemic variability over 24 hours (median [MAD] mean amplitude of glycaemic excursion 4.1 [0.98] vs. 4.4 [0.99] mM/L; P = 0.04). During the day, participants also spent a greater percentage of time in normoglycaemia with unmasked CGM (median [MAD] 94.2 [4.8]% vs. 90.9 [6.2]%; P = 0.005), largely due to a reduction in hyperglycaemia (>10 mM/L, or 180 mg/dL: median [MAD] 1.9 [2.2]% vs. 3.9 [3.6]%; P = 0.02). Conclusions: Real‐time CGM data and alarms are associated with reductions in low sensor glucose, elevated sensor glucose, and glycaemic variability. This suggests CGM allows patients to detect hyperglycaemic peaks and imminent hypoglycaemia, allowing dietary modification and self‐treatment to reduce hypoglycaemia. The use of CGM devices may improve safety in PBH, particularly for patients with hypoglycaemia unawareness.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/dom.15096

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • CGM may also be helpful to reduce hypoglycemia and improve quality of life in people with hypoglycemia as a complication of metabolic surgery.

    “CGM may also be helpful to reduce hypoglycemia and improve quality of life in people with hypoglycemia as a complication of metabolic surgery (152,153).”

    From 6. Glycemic Goals, Hypoglycemia, and Hyperglycemic Crises: Standards of Care in Diabetes-2026. (2026) · cites this paper as [152]

    The Discussion reports that CGM reduced hypoglycaemia in patients with post-bariatric hypoglycaemia. It also says that further studies are needed to determine its impact on quality of life in these patients, so the quality-of-life part is not established by this paper. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Cummings, C., Jiang, A., Sheehan, A., Ferraz‐Bannitz, R., Puleio, A., Simonson, D. C., Dreyfuss, J. M., & Patti, M. E.
Affiliations
  • Joslin Diabetes Center (US)
  • Research Division, Joslin Diabetes Center Boston Massachusetts USA
  • Brigham and Women's Hospital (US)
Corresponding author
Patti, Mary Elizabeth
Venue
Diabetes, Obesity and Metabolism
Publisher
Wiley
Published
2023-05-03
Volume
25
Issue
8
Pages
2191-2202
ISSN
  • 1462-8902 (ISSN-L)
  • 1463-1326
OpenAlex
W4365442959
Cited by
27
References
63
Citations by year
2026: 7 · 2025: 14 · 2024: 5 · 2023: 1
FWCI
5.51
Type
journal article
Language
en
Open access
Locations
  • Diabetes Obesity and Metabolism (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
Dexcom
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords
continuous glucose monitoring, hypoglycemia, glycemic variability, bariatric surgery, hyperglycemia, normoglycemia, Dexcom G6, time in range
MeSH terms
Blood Glucose, Diabetes Mellitus, Type 1, Humans, Hypoglycemia, Blood Glucose Self-Monitoring, Bariatrics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review