Evidence map›Paper›PMID 42311545›Full record

ReviewJournal of the ASEAN Federation of Endocrine Societies2026

Addressing Unmet Needs in the Management of Diabetes in Asia and Enhancing Diabetes Care Through the Use of Digital Technology: An Expert Opinion.

Daphne Sl Gardner, Julia K Mader, Sanjay Kalra, Irene Kopp, Banshi Saboo, Kazuhiro Sugimoto, Michael Villa, Shailendra Bajpai

Abstract readReview
In one paragraph

Review in Journal of the ASEAN Federation of Endocrine Societies, 2026. 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

8 authors.

Daphne Sl GardnerDepartment of Endocrinology, Singapore General Hospital, Singapore.
Julia K MaderDivision of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria.
Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, India.
Irene KoppNepean Diabetes Service, Nepean Hospital, Kingswood, Australia.
Banshi SabooDiacare-Diabetes Care and Hormone Clinic, Ahmedabad, India.
Kazuhiro SugimotoDiabetes Centre, Ohta Nishinouchi Hospital, Koriyama, Japan.
Michael VillaInternal Medicine, St. Luke's Medical Center Global City, Taguig, Philippines.
Shailendra BajpaiEmbecta Asia, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asia faces a growing diabetes burden compounded by low awareness, limited access, affordability concerns, and heterogeneous care practices. These challenges hinder consistent management across the region. Methodology: An expert panel representing India, Japan, South Korea, the Philippines, Singapore, Australia and Austria reviewed regional barriers, compared national practices, and proposed feasible strategies for improvement. Results: Key gaps included healthcare access, affordability, limited workforce capacity, poor adherence to guidelines, cultural influences and underuse of digital tools. Experts examined region-specific approaches, highlighting effective models from Singapore, India, Japan, the Philippines, China, Malaysia, Indonesia, Thailand and South Korea. Discussion: Synthesised insights yielded policy-oriented and practical recommendations, focusing on insurance expansion, digital and AI-enabled care, workforce strengthening, and community-based programs to enhance diabetes care delivery. Conclusion: Tailored, region-specific and technology-enabled strategies addressing systemic and economic barriers are vital to strengthen diabetes management across Asia.

Indexed as

Diabetes MellitusDigital TechnologyHealth Services Needs and DemandAsiaDigital HealthHealth Services AccessibilityHumansTelemedicineartificial intelligenceAsiadiabetes mellitus type 2diabetes monitoringhealthcare policiesintegrated healthcaremhealthtelemedicine

Identifiers

PMID42311545
PMCPMC13269387

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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.