Evidence map›Paper›PMID 42006357›Full record

ReviewiScience2026

Flexible polymeric materials and wearable biosensors for smart diabetes mellitus diagnostics and monitoring.

Valentine Saasa, Thandi Gumede, Nkosikhona Theoren Msweli

Abstract readReview
In one paragraph

Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Valentine SaasaDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Florida Science Campus, Roodepoort 1710, South Africa.
Thandi GumedeDepartment of Life Sciences, Faculty of Health and Environmental Sciences, Central University of Technology, Bloemfontein 9301, South Africa.
Nkosikhona Theoren MsweliDepartment of Information Systems, College of Science, Engineering, and Technology, University of South Africa, Florida Science Campus, Roodepoort 1710, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus remains a major global health challenge that requires frequent and accurate glucose monitoring. Conventional finger-prick methods are invasive and often lead to poor patient compliance. In response, flexible and wearable biosensors have emerged as promising platforms for continuous and non-invasive glucose monitoring. This review provides a critical and framework-driven analysis of polymer-based material systems underpinning wearable glucose biosensors, including conductive polymers, biocompatible/biodegradable polymers, elastomers, hydrogels, and polymer-nanomaterial hybrids. We discuss how polymer properties govern electron transfer, mechanical compliance, biocompatibility, and long-term stability, highlighting trade-offs and limitations of each material class. Recent advances in hybrid and smart biosensing systems integrating microfluidics, self-powered operation, Internet of Things, and artificial intelligence-assisted analytics are systematically examined. Finally, we identify key challenges, such as material degradation, biofluid variability, and integration complexity, and propose targeted future directions for material design, device development, and clinical translation.

Indexed as

biological scienceshealth sciencesmaterials science

Identifiers

PMID42006357
PMCPMC13090661

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.