Evidence map›Paper›PMID 41226092›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Machine Learning Models for Point-of-Care Diagnostics of Acute Kidney Injury.

Chun-You Chen, Te-I Chang, Cheng-Hsien Chen, Shih-Chang Hsu, Yen-Ling Chu, Nai-Jen Huang, Yuh-Mou Sue, Tso-Hsiao Chen, Feng-Yen Lin, Chun-Ming Shih and 3 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

13 authors.

Chun-You ChenGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan.
Te-I ChangDepartment of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-8966-9012
Cheng-Hsien ChenDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-5833-2230
Shih-Chang HsuEmergency Department, Department of Emergency and Critical Medicine, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.
Yen-Ling ChuDivision of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.
Nai-Jen HuangDivision of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan.
Yuh-Mou SueDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0003-0935-7332
Tso-Hsiao ChenDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Feng-Yen LinDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-4939-2899
Chun-Ming ShihDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Po-Hsun HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
Hui-Ling HsiehSecond Degree Bachelor of Science in Nursing Collage of Medicine, National Taiwan University, Taipei 100, Taiwan.ORCID 0000-0003-3024-3639
Chung-Te LiuDepartment of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-2217-5915

Funding

Wan Fang Hospital, Taipei Medical University 111-wf-f-1, 111-wf-f-2, 112-wf-swf-03
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

acute kidney injury (AKI)artificial intelligence (AI)chronic kidney disease (CKD)creatinineelectronic alertshospitalizationintensive care units (ICU)machine learning

Identifiers

PMID41226092
PMCPMC12607989

What OpenQuestion 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 OpenQuestion graph.