Evidence map›Paper›PMID 26002835›Full record

Trial reportJournal of diabetes science and technology2015

Evaluation of a Methodology for Estimating HbA1c Value by a New Glucose Meter.

Jochen Sieber, Frank Flacke, Bonnie Dumais, Casey C Peters, Erin B Mallery, Liz Taylor

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01885546 (Accuracy Study for the Evaluation of Obtaining an Enhanced Meter Feature Using an AgaMatrix BGMS), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT01885546 nacompletednot on this map

Accuracy Study for the Evaluation of Obtaining an Enhanced Meter Feature Using an AgaMatrix BGMS

TypeinterventionalSponsorAgaMatrix, Inc.Ran2013 to 2013Enrolled133ConditionsDiabetes MellitusArmsAgaMatrix Blood Glucose Monitor
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Jochen SieberSanofi-Aventis Deutschland GmbH, Global Diabetes Division, Frankfurt am Main, Germany Jochen.Sieber@sanofi.com.
Frank FlackeSanofi-Aventis Deutschland GmbH, Global Diabetes Division, Frankfurt am Main, Germany.
Bonnie DumaisAgaMatrix, Inc, Salem, NH, USA.
Casey C PetersAgaMatrix, Inc, Salem, NH, USA.
Erin B MalleryAgaMatrix, Inc, Salem, NH, USA.
Liz TaylorMassResearch LLC, Waltham, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccuracy/robustness of HbA1c estimation (eA1c) with an algorithm built into the MyStar Extra blood glucose (BG) meter has been demonstrated by in silico testing. We evaluated the performance and use of eA1c in a clinical setting.

methodsSubjects took the BG meter home for 4 months to obtain eA1c in this open-label, single-center study. Laboratory HbA1c values were obtained approximately every 2 weeks and the corresponding eA1c documented. Subjects completed a questionnaire at study end (NCT01885546).

resultsThere were 133 enrolled subjects (mean [SD] age 60.0 [15.0] years, 69 males, 104 with diabetes, HbA1c 7.0% [1.4]). A total of 1008 pairs of eA1c and laboratory HbA1c values were available. In subjects with diabetes, 97.5% of the eA1c results fell within ± 20% of the laboratory HbA1c, 95.0% within ± 18%, and 90.7% within ± 15%. When results were limited to the reportable HbA1c range of ≥ 6 to ≤ 10%, 99.3% of eA1c values fell within ± 20% of the laboratory HbA1c, 98.5% within ± 18%, and 96.2% within ± 15% Most subjects agreed/strongly agreed that the eA1c section in the user guide and flash cards was easy to follow (72%), they would use the system to track their eA1c (70%), they found the eA1c tool helpful (79%), and the tool may motivate them to manage their diabetes better (83%).

conclusionsAccuracy of the eA1c feature in this clinical setting was similar to the performance in silico. The majority of subjects found this tool helpful and agreed it may motivate to manage their diabetes better.

Indexed as

AlgorithmsAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMiddle AgedSurveys and QuestionnairesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humaneA1ceA1c questionnaireestimated HbA1cMyStar Extra blood glucose meterself-monitored blood glucose

Identifiers

PMID26002835
PMCPMC4738200

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Registered trials

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.