Evidence map›Paper›PMID 39281234›Full record

ReviewPakistan journal of medical sciences2024

Individualized selection of recent glucose monitoring devices for self-management based on competitive features.

Olga Krylova, Sevara Marchenko, Alexandra Ermolaeva, Natalia Shustikova, Kristina Dyakonova

Abstract readReview
In one paragraph

Review in Pakistan journal of medical sciences, 2024. 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

5 authors.

Olga KrylovaOlga Krylova Associate Professor, Department of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.
Sevara MarchenkoSevara Marchenko Associate Professor, Department of Organization and Management in the Field of Medicines Circulation, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.
Alexandra ErmolaevaAlexandra Ermolaeva Associate Professor, Department of Clinical, Pharmacology and Propaedeutics of Internal Diseases, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.
Natalia ShustikovaNatalia Shustikova, PhD of Medical Sciences Associate Professor, Deputy Dean for Educational and Organizational Work, Moscow University for Industry and Finance Synergy, Moscow, Russia.
Kristina DyakonovaKristina Dyakonova Researcher, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Goal of the study was to systematically review competitive advantages of medical devices for glucose monitoring in diabetic patients. Method: The review is done systematically according to SALSA criteria and PRISMA guidelines. The search for eligible articles was held from February 16 Results: Twenty-two out of fifty-two manuscripts met the inclusion criteria. The most promising and advantageous characteristics of the evaluated devices, as identified by researchers, include the following: the capability for noninvasive examination; features that facilitate use by patients with fine motor, hearing, and visual impairments; add-ons and software designed to improve patient compliance, including in pediatric populations; and device attributes that enhance the speed and accuracy of analysis while being free of iatrogenic effects. Conclusions: With increasing prevalence of diabetes, glycemic control is crucial for preventing complications. The market offers numerous glucose monitoring devices (GMDs) with varying features, making selection challenging. Our study systematically categorized the strengths of each GMD model for diabetic patients, aiding informed device selection.

Indexed as

Blood glucose controlBlood glucose meterCompetitive featuresDiabetes mellitusGlucose monitoring devicesSelf-management

Identifiers

PMID39281234
PMCPMC11395364

What Socratic 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 Socratic graph.