Evidence map›Paper›PMID 20144402›Full record

SynthesisJournal of diabetes science and technology2009

Health technologies for monitoring and managing diabetes: a systematic review.

Elizabeth Russell-Minda, Jeffrey Jutai, Mark Speechley, Kaitlin Bradley, Anna Chudyk, Robert Petrella

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 10 pooled it
–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

41 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  18. DialBetics: smartphone-based self-management for type 2 diabetes patients.Journal of diabetes science and technology · 2012
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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

6 authors.

Elizabeth Russell-MindaAging, Rehabilitation, and Geriatric Care Research Centre, Lawson Health Research Institute, Ontario, Canada.
Jeffrey Jutai
Mark Speechley
Kaitlin Bradley
Anna Chudyk
Robert Petrella

Funding

Canadian Institutes of Health Research CCT-83029
6 · The paper itself

Abstract

backgroundThe primary objective of this review was to determine the strength of evidence for the effectiveness of self-monitoring devices and technologies for individuals with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) based on specific health-related outcome measures. Self-monitoring devices included those that assist patients with managing diabetes and preventing cardiovascular complications (CVCs). A secondary objective was to explore issues of feasibility, usability, and compliance among patients and providers.

methodsStudy criteria included individuals >or=14 years and youth (7-14 years) with T1DM or T2DM, intervention with a self-monitoring device, assessment of clinical outcomes with the device, literature in English, and >or=10 participants. Relevant published literature was searched from 1985 to 2008. Randomized controlled trials and observational studies were included. Data were extracted for clinical outcomes, feasibility and compliance methods, and results. Selected studies were independently evaluated with a validated instrument for assessing methodological quality.

resultsEighteen trials were selected. Predominant types of device interventions included self-monitoring of blood glucose, pedometers, and cell phone or wireless technologies. Feasibility and compliance were measured in the majority of studies.

conclusionsSelf-monitoring of blood glucose continues to be an effective tool for the management of diabetes. Wireless technologies can improve diabetes self-care, and pedometers are effective lifestyle modification tools. The results of this review indicate a need for additional controlled trial research on existing and novel technologies for diabetes self-monitoring, on health outcomes associated with diabetes and CVCs, and device feasibility and compliance.

Indexed as

ActigraphyBiomedical TechnologyBlood Glucose Self-MonitoringCell PhoneAdolescentBlood GlucoseChildDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diagnostic EquipmentEquipment DesignEvidence-Based MedicineGlycated HemoglobinGuideline AdherenceHumansPatient ComplianceBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID20144402
PMCPMC2787048

What OpenQuestion holds

Textmetadata
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.