Evidence map›Paper›PMID 31700737›Full record

ArticleCureus2019

Continuous Glucose Monitoring Versus Self-monitoring of Blood Glucose in Type 2 Diabetes Mellitus: A Systematic Review with Meta-analysis.

Rajesh Naidu Janapala, Joseph S Jayaraj, Nida Fathima, Tooba Kashif, Norina Usman, Amulya Dasari, Nusrat Jahan, Issac Sachmechi

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 9 pooled it
5.6field-weighted citation impact, top 3% of its field
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

56 citing papers in PubMed, 9 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  6. Guideline
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  11. Prospective evaluation of the effect of smartphone electrocardiogram usage on anticoagulant medication compliance.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2022
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  17. Optimizing Continuous Glucose Monitoring Adoption in India: From Current Challenges to Future Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
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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

8 authors at 4 institutions in 1 country.

Rajesh Naidu JanapalaInternal Medicine, Icahn School of Medicine at Mount Sinai/Queens Hospital Center, New York, USA.
Joseph S JayarajInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Nida FathimaInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Tooba KashifInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Norina UsmanInternal Medicine, Veterans Affairs Palo Alto Health Care System - Stanford University School of Medicine, Palo Alto, USA.
Amulya DasariInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Nusrat JahanInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Issac SachmechiInternal Medicine, Icahn School of Medicine at Mount Sinai/Queens Hospital Center, New York, USA.
Mount Sinai Hospital · USQueens Hospital Center · USStanford University · USVA Palo Alto Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every eleventh adult has diabetes, and every third has prediabetes. Over 95% of diabetics are of type 2. It is well established that diabetes doubles the risk of heart disease and stroke apart from increasing the risk of microvascular complications. Hence, strict glycemic control is necessary. However, it increases the risk of hypoglycemia, especially in patients with longstanding diabetes. Continuous glucose monitors (CGM) use a sensor to continuously measure the glucose levels in the interstitial fluid every 10 seconds and gives out mean values every five minutes. CGMs are emerging tools in the management of type 2 diabetes. The prime objective of this review is to find out if there is enough supporting evidence, suggesting that continuous glucose monitoring is more effective than self-monitoring of blood glucose (SMBG) in type 2 diabetes. We conducted a systematic literature search in Medline (PubMed) looking for any studies addressing our objective. It is observed that there is a varying level of evidence supporting that employing a CGM can reduce glycated hemoglobin (HbA1c), hypoglycemic events, and increase patient satisfaction. However, some studies reported no significant benefits. This systematic review with meta-analysis concludes that the use of CGM in type 2 diabetes mellitus (T2DM) is beneficial, as it significantly reduces HbA1c compared to the usual method of SMBG. The pooled mean difference in HbA1c was -0.25 (-0.45, -0.06) and statistically significant (at

Indexed as

continuous glucose monitorglucose variabilityreal-time glucose monitoringself-monitoring of blood glucosetime in rangetype 2 diabetes mellitus

Identifiers

PMID31700737
PMCPMC6822918
OpenAlexW2973024432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.