Evidence map›Paper›PMID 41975705›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Predicting 10-Year Diabetes Risk Through Physiological Acceleration: A Longitudinal Deep Learning Ensemble Approach.

Sangsoo Kim, Seonghee Park, Jinmi Kim, Ha Jin Park, Soree Ryang, Myungsoo Im, Doohwa Kim, Kyeongjun Lee

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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.

Sangsoo KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Hospital, Busan 49241, Gyeongsangnam-do, Republic of Korea.ORCID 0000-0002-9687-8357
Seonghee ParkDepartment of Mathematics and Big Data Science, Kumoh National Institute of Technology, Gumi 39177, Gyeongsangbuk-do, Republic of Korea.ORCID 0009-0008-7114-9466
Jinmi KimBiomedical Research Institute, Pusan National University Hospital, Busan 49241, Gyeongsangnam-do, Republic of Korea.ORCID 0000-0002-6715-0447
Ha Jin ParkDivision of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Hospital, Busan 49241, Gyeongsangnam-do, Republic of Korea.ORCID 0000-0002-3293-8461
Soree RyangDivision of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Hospital, Busan 49241, Gyeongsangnam-do, Republic of Korea.ORCID 0000-0002-5251-5554
Myungsoo ImDivision of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Hospital, Busan 49241, Gyeongsangnam-do, Republic of Korea.ORCID 0009-0009-2758-9461
Doohwa KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Hospital, Busan 49241, Gyeongsangnam-do, Republic of Korea.ORCID 0009-0001-9289-355X
Kyeongjun LeeDepartment of Mathematics and Big Data Science, Kumoh National Institute of Technology, Gumi 39177, Gyeongsangbuk-do, Republic of Korea.ORCID 0000-0002-0754-5172

Funding

Ministry of Health and Welfare HR20C0026
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learningensemble learninglongitudinal trajectoryprecision medicineType 2 Diabetes Mellitus

Identifiers

PMID41975705
PMCPMC13073177

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.