Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 161

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Improved Glucose Excursions Using an Implantable Real-Time Continuous Glucose Sensor in Adults With Type 1 Diabetes

Open access
Garg, Satish K., Schwartz, Sherwyn, Edelman, Steven V.·2004·Diabetes Care

Abstract

OBJECTIVE—The capability of emerging glucose sensor technology to continuously monitor glucose levels may provide ways to achieve glycemic targets while reducing hypoglycemia. RESEARCH DESIGN AND METHODS—A first-generation, long-term continuous glucose sensor (DexCom, San Diego, CA) was implanted subcutaneously in 15 patients with type 1 diabetes. Safety, efficacy, and potential benefits were evaluated during a blinded control period and in a study period during which patients had real-time access to the glucose data. RESULTS—The bias differences between self-monitored blood glucose (SMBG) and sensor data were <15% at 2.8, 4.4, 5.6, 8.3, and 11.1 mmol/l. No procedure or device-related adverse events were observed. Of 15 patients, 13 (87%) had functional sensors during the 12-h simulated home use study with 96% of points in the A and B regions of the Clarke error grid, an R value of 0.88, and a mean absolute relative difference of 16% when retrospectively compared with SMBG. In actual home use, during the blinded control period (50 ± 16 days) data were not displayed to the patient, whereas during the unblinded study period (44 ± 17 days) the data were presented to the patient, and alerts were set at 3.1, 5.6, and 11.1 mmol/l. Patients spent a median of 47% less time below 3.1 mmol/l (P < 0.05) and 25% less time above 13.3 mmol/l (P < 0.05) during the nonblinded study period compared with the blinded control period. CONCLUSIONS—The availability of real-time continuous glucose values may help patients reduce their hyperglycemic excursions and lower the risk of hypoglycemia.

Overview

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 · 10.2337/diacare.27.3.734

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cited by

See all 161

Metadata

Authors
Garg, S. K., Schwartz, S., & Edelman, S. V.
Venue
Diabetes Care
Published
2004-03-01
Volume
27
Issue
3
Pages
734-738
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2032035801
Cited by
161
References
1
FWCI
8.20
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Improved Glucose Excursions Using an Implantable Real-Time Continuous Glucose Sensor in Adults With Type 1 Diabetes. https://app.cochat.ai/papers/10.2337/diacare.27.3.734
The paper
Garg, S. K., Schwartz, S., & Edelman, S. V. (2004). Improved Glucose Excursions Using an Implantable Real-Time Continuous Glucose Sensor in Adults With Type 1 Diabetes. Diabetes Care. https://doi.org/10.2337/diacare.27.3.734

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.