CoChat
Sign Up
Cited by 127Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes Management and Education

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Meta-Analysis of the Benefits of Self-Monitoring of Blood Glucose on Glycemic Control in Type 2 Diabetes Patients: An Update

Poolsup, Nalinee, Suksomboon, Naeti, Rattanasookchit, Somying·2009·Diabetes Technology & Therapeutics
DOI 10.1089/dia.2009.0091
Open this paper in CoChat — free account

Abstract

Background: Our systematic review and meta-analysis of the benefit of self-monitoring of blood glucose (SMBG) in improving glycemic control in type 2 diabetes was published in 2008. With the few studies that have emerged afterward, we undertook subsequent meta-analysis of the available evidence to update the results. Methods: Clinical trials of SMBG were identified through electronic searches (MEDLINE, EMBASE, and The Cochrane Library) up to and including June 2009. Studies were included if they met the following inclusion criteria: (1) randomized controlled trial comparing SMBG versus non-SMBG in type 2 diabetes patients not using insulin and (2) hemoglobin A1c (HbA 1c ) reported as an outcome measure. The efficacy was estimated with the mean difference in the changes of HbA 1c from baseline to final assessment between the SMBG and the non-SMBG groups. Results: SMBG was effective in reducing HbA 1c in non–insulin-treated type 2 diabetes (pooled mean difference, −0.24%; 95% confidence interval, −0.34% to −0.14%; P < 0.00001). Glycemic control significantly improved among the subgroup of patients whose baseline HbA 1c was ≥8%. In contrast, no significant effect of SMBG was detected in patients who had HbA 1c <8%. Conclusions: The available evidence suggests the usefulness of SMBG in improving glycemic control in non–insulin-treated type 2 diabetes as demonstrated by the reduction of HbA 1c levels. In particular, SMBG proved to be useful in the subgroup of patients whose baseline HbA 1c was ≥8%.

Overview

Integrity signals

Registry

Crossref · 10.1089/dia.2009.0091

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Flagged first, then by citations

Show all 35 references

Research works printed but not linked: 5

  1. 10.1089/dia.2008.0001 · DOI
  2. 10.1111/j.1463-1326.2008.00894.x · DOI · Paper page
  3. 10.1002/14651858.CD005060.pub2 · DOI · Paper page
  4. Deeks JJ, , Higgins JPT, , Altman DG. Analysing and presenting results. Higgins JPT, , Green S. Cochrane Handbook for Systematic Reviews of Interventions 426 [updated September 2006] Chichester, UK: John Wiley & Sons, Ltd., 2006; 120–122.
  5. Fontbonne A, , Billault B, , Acosta M, , Percheron C, , Varenne P, , Besse A, , Eschwege E, , Monnier L, , Slama G, , Passa P. Is glucose self-monitoring beneficial in non-insulin-treated diabetic patients? Results of a randomized comparative trial. Diabetes Metab, 1989; 15:255–260.

Cited by

Sorted by citations

Items 101–127 of 127

Related

See all

Metadata

Authors
Poolsup, N., Suksomboon, N., & Rattanasookchit, S.
Affiliations
  • Silpakorn University (TH)
  • Mahidol University (TH)
Corresponding author
Suksomboon, Naeti
ORCID
Venue
Diabetes Technology & Therapeutics
Publisher
SAGE Publications
Published
2009-12
Volume
11
Issue
12
Pages
775-784
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
DOI
10.1089/dia.2009.0091
OpenAlex
W2078427448
Cited by
127
References
35
Citations by year
2026: 3 · 2025: 7 · 2024: 2 · 2023: 1 · 2022: 5 · 2021: 3 · 2020: 10 · 2019: 11 · 2018: 9 · 2017: 7 · 2016: 3 · 2015: 3 · 2014: 7 · 2013: 17 · 2012: 16
FWCI
1.66
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Diabetes Technology & Therapeutics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
self-monitoring of blood glucose, type 2 diabetes, glycemic control, HbA1c, non-insulin-treated diabetes, baseline HbA1c, diabetes self-management
MeSH terms
Blood Glucose, Clinical Trials as Topic, Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Blood Glucose Self-Monitoring, Randomized Controlled Trials as Topic

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