Evidence map›Paper›PMID 35531901›Full record

ArticleJournal of diabetes science and technology2023

Guideline Development for Medical Device Technology: Issues for Consideration.

Tadej Battelino, Frank Brosius, Antonio Ceriello, Francesco Cosentino, Jennifer Green, Monika Kellerer, Susan Koob, Mikhail Kosiborod, Nebojsa Lalic, Nikolaus Marx and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2023. 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

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

18 authors.

Tadej BattelinoUniversity Medical Center Ljubljana, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-0273-4732
Frank BrosiusUniversity of Arizona College of Medicine-Tucson, AZ, USA.
Antonio CerielloIRCCS MultiMedica, Milan, Italy.
Francesco CosentinoCardiology Unit, Department of Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Jennifer GreenDuke University Medical Center, Duke Clinical Research Institute, Durham, NC, USA.
Monika KellererMarienhospital Stuttgart, Stuttgart, Germany.
Susan KoobPCNA National Office, Madison, WI, USA.
Mikhail KosiborodSaint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA.
Nebojsa LalicClinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia.
Nikolaus MarxDepartment of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
T Prashant NedungadiAmerican Heart Association, Dallas, TX, USA.
Lars RydénDepartment of Medicine K2, Karolinska Institute, Stockholm, Sweden.
Helena W RodbardEndocrine and Metabolic Consultants, Rockville, MD, USA.
Linong JiPeking University People's Hospital, Beijing, China.ORCID 0000-0003-1305-1598
Wayne Huey-Herng SheuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City.
Eberhard StandlForschergruppe Diabetes e.V., Munich, Germany.
Christopher G ParkinCGParkin Communications Inc., Henderson, NV, USA.ORCID 0000-0001-6838-5355
Oliver SchnellForschergruppe Diabetes e.V., Munich, Germany.ORCID 0000-0003-4968-2367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.

Indexed as

Diabetes MellitusTelemedicineBlood GlucoseBlood Glucose Self-MonitoringHumansSocieties, MedicalTechnologyBlood GlucoseCGMcontinuous glucose monitoringdiabetes technologiesguidelinesrandomized controlled trialsreal-world evidence

Identifiers

PMID35531901
PMCPMC10658688

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.