Evidence map›Paper›PMID 42662496›Full record

ArticleEuropean heart journal. Digital health2026

Decentralized community-based hub-intermediary-spoke model for rapid cardiac ultrasound triage for early heart failure detection: findings from the Heart2Miss initiative.

Diana Hui Ping Foo, John Jui Ping Yeo, Yenny Yen Yen Yeo, Stephanie Tayas Bumphray, Rose Hui Chin Jong, Liana Lantong Sumbu, Claudia Lennya Jana, Jennett Michael, Maziah Ishak, Peter Jerampang and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal. Digital health, 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

23 authors.

Diana Hui Ping FooClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0000-0003-2973-5089
John Jui Ping YeoClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0009-0009-1025-0963
Yenny Yen Yen YeoClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0009-0009-5500-0917
Stephanie Tayas BumphrayClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.
Rose Hui Chin JongClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0000-0001-8985-4720
Liana Lantong SumbuClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0009-0006-0003-0447
Claudia Lennya JanaClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.
Jennett MichaelKlinik Kesihatan Kota Sentosa, Kuching 93250, Malaysia.
Maziah IshakKlinik Kesihatan Petra Jaya, Kuching 93050, Malaysia.ORCID https://orcid.org/0009-0002-7032-8151
Peter JerampangKlinik Kesihatan Tanah Puteh, Kuching 93450, Malaysia.ORCID https://orcid.org/0009-0002-6974-9709
Maila MustaphaKlinik Kesihatan Jalan Masjid, Kuching 93000, Malaysia.ORCID https://orcid.org/0009-0007-0408-7210
Sally Suriani AhipKlinik Kesihatan Kota Samarahan, Kota Samarahan 94300, Malaysia.ORCID https://orcid.org/0000-0002-1878-5278
Lenny HamdenKlinik Kesihatan Batu Kawa, Kuching 93250, Malaysia.
Macnicholson IgoClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0000-0002-0847-7909
Mohammad Nor Azlan SulaimanClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.
Jawing ChunggatClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0009-0000-4465-3896
Francesca Gelang ChongClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0009-0000-0415-1066
Deborah Berenai EnggongClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0009-0009-1107-448X
Yeequant ChungUs2.ai, Singapore, Singapore.
Daniel IshakUs2.ai, Singapore, Singapore.
Angela Melinda Anthony JalinDepartment of Neurosurgery, Neuroscience Institute, Penn State Hershey Medical Centre, Hershey 17033, USA.ORCID https://orcid.org/0000-0002-2831-7996
Sonesh KalraAstraZeneca (Malaysia) Sdn Bhd, Selangor, Malaysia.ORCID https://orcid.org/0000-0003-1763-0925
Alan Yean Yip FongClinical Research Centre, Sarawak General Hospital, Kuching 93586, Malaysia.ORCID https://orcid.org/0000-0002-6675-1312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To evaluate the feasibility and system-level performance of Heart2Miss, a decentralized community-based triage model deploying AI-powered point-of-care ultrasound (AI-POCUS) via a hub-intermediary-spoke approach in diabetes primary care for early heart-failure (HF) detection. Methods and results: In this prospective study, 1000 adults with diabetes and no known HF were screened over seven months across six primary care clinics (spokes); 985 with complete data were analysed. Novice biomedical and bioscience graduates underwent 4-week training to perform focused three-view handheld AI-POCUS. Images were AI-analysed and verified through the hub-intermediary-spoke pathway. The primary outcome was detection of previously undiagnosed HF. Secondary outcomes included reduction in tertiary-centre burden through the hub-intermediary-spoke pathway and novice sonographer performance. 11.1% ( Conclusion: This decentralized hub-intermediary-spoke model combining AI-POCUS, telehealth verification, and a task-shifted bioscience workforce enabled early HF detection while substantially reducing specialist workload, supporting digital health-enabled workforce innovation and pathway redesign in resource-constrained settings.

Indexed as

Artificial intelligenceDecentralized careHeart failurePoint-of-care ultrasoundType 2 diabetes

Identifiers

PMID42662496
PMCPMC13520925

What OpenQuestion holds

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Registered trials

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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.