Evidence map›Paper›PMID 22027309›Full record

ArticleJournal of diabetes science and technology2011

Analysis of the evaluation of a new glucose meter with integrated self-management software and USB connectivity.

Daniel J Crowe

Abstract readComment
In one paragraph

Article in Journal of diabetes science and technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Daniel J CroweSouthboro Medical Group, Southboro, Massachusetts 02138, USA. Daniel.crowe@southboromedical.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose meter technology has not kept up with the advances that have occurred in other sectors in mobile and health care technology. A new device that combines strip-based capillary blood glucose monitoring and USB flash drive technology is evaluated in an industry-funded study in a cohort of patients and health care professionals. The expanded memory capacity of flash drives allows the software program to be stored on the device for analyzing the blood glucose readings in memory. The study analyzes the device for precision and accuracy as well as for ease of adaptability and usage. This analysis focuses on shortcomings in the design of the study and methodology in addition to features of the hardware device itself. Although the device has distinct advantages over many devices on the market, a challenge is made to device manufacturers to encourage further innovation.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringBlood Specimen CollectionFemaleHumansMaleBlood Glucose

Identifiers

PMID22027309
PMCPMC3208872

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.