Evidence map›Paper›PMID 36422264›Full record

ArticleMetabolites2022

Identification of Serum Metabolites for Predicting Chronic Kidney Disease Progression according to Chronic Kidney Disease Cause.

Eunjeong Kang, Yufei Li, Bora Kim, Ki Young Huh, Miyeun Han, Jung-Hyuck Ahn, Hye Youn Sung, Yong Seek Park, Seung Eun Lee, Sangjun Lee and 3 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 6 institutions in 2 countries.

Eunjeong KangDepartment of Internal Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul 07804, Republic of Korea.
Yufei LiDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Republic of Korea.ORCID 0000-0001-9657-2537
Bora KimDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Republic of Korea.
Ki Young HuhDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Republic of Korea.ORCID 0000-0002-1872-9954
Miyeun HanDepartment of Internal Medicine, National Medical Center, Seoul 04564, Republic of Korea.
Jung-Hyuck AhnDepartment of Biochemistry, Ewha Womans University College of Medicine, Seoul 07804, Republic of Korea.
Hye Youn SungDepartment of Biochemistry, Ewha Womans University College of Medicine, Seoul 07804, Republic of Korea.ORCID 0000-0003-2320-7357
Yong Seek ParkDepartment of Microbiology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0000-0002-9260-3102
Seung Eun LeeDepartment of Microbiology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Sangjun LeeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0003-4080-0494
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0001-5002-9707
Joo-Youn ChoDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Republic of Korea.ORCID 0000-0001-9270-8273
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0001-9525-2179
Seoul National University · KREwha Womans University · KRSeoul National University Hospital · KRKyung Hee University · KRNational Institutes of Health · USNational Medical Center · KR

Funding

Korea Disease Control and Prevention Agency 2011E3300300, 2012E3301100, 2013E3301600, 2013E3301601, 2013E3301602, 2016E3300200, 2016E3300201, 2016E3300202, 2019E320100, 2019E320101, 2019E320102, and 2022-11-007the Korean government (MSIT) 2017M3A9E4044649
6 · The paper itself

Abstract

Early detection and proper management of chronic kidney disease (CKD) can delay progression to end-stage kidney disease. We applied metabolomics to discover novel biomarkers to predict the risk of deterioration in patients with different causes of CKD. We enrolled non-dialytic diabetic nephropathy (DMN,

Indexed as

chronic kidney diseasedisease progressionmetabolomicsserum biomarkers

Identifiers

PMID36422264
PMCPMC9696352
OpenAlexW4309174107

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.