Evidence map›Paper›PMID 42880795›Full record

ArticleBMJ open2026

Hyperuricaemia risk and its association with kidney failure and mortality in newly diagnosed type 2 diabetes with preserved renal function: a multicentre machine learning study.

Sujin Gan, Heejung Choi, Dong Yun Lee, Chang-June Choi, Jung Seok Koh, Chang Won Jeong, Won-Woo Seo, Joon-Myoung Kwon, Rae Woong Park, Inwhee Park

Abstract read
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In one paragraph

Article in BMJ open, 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

10 authors.

Sujin Gan *Department of Biomedical Sciences, Ajou University School of Medicine and Graduate School of Medicine, Suwon-si, Korea.
Heejung Choi *Department of Nephrology, Ajou University School of Medicine, Suwon-si, Korea.ORCID http://orcid.org/0000-0002-8118-4520
Dong Yun LeeDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Korea.ORCID http://orcid.org/0000-0002-3678-9862
Chang-June ChoiCenter for Biomedical Informatics Research, Ajou University Medical Center, Suwon-si, Korea.
Jung Seok KohAjou University Hospital, Suwon-si, Korea.
Chang Won JeongResearch Center of Biomedical Research Institute, Wonkwang University Hospital, Iksan-si, Korea.
Won-Woo SeoDepartment of Internal Medicine, Kangdong Sacred Heart Hospital, Seoul, Korea.
Joon-Myoung KwonSejong Medical Research Institute, Bucheon, Korea.
Rae Woong ParkDepartment of Biomedical Sciences, Ajou University School of Medicine and Graduate School of Medicine, Suwon-si, Korea inwhee@ajou.ac.kr veritas@ajou.ac.kr.ORCID http://orcid.org/0000-0003-4989-3287
Inwhee ParkDepartment of Nephrology, Ajou University School of Medicine, Suwon-si, Korea inwhee@ajou.ac.kr veritas@ajou.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiovascular DiseaseChronic renal failureDiabetes Mellitus, Type 2Machine Learning

Identifiers

What OpenQuestion holds

Textmetadata
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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.