Evidence mapPaperPMID 42317007Full record

ArticleAnnals of medicine2026

Multi-trajectories of serum uric acid/high density lipoprotein cholesterol ratio and fasting plasma glucose in chronic kidney disease.

Mingxuan Xie, Zhenghong Luo, Huixian Xiong, Juan Jiang, Yuping Liu, Shujin Guo, Xiaopeng Yao, Zhengwei Wan, Junlin Zhang, Ping Shuai

Abstract read
In one paragraph

Article in Annals of medicine, 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.

Mingxuan XieDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Zhenghong LuoDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Huixian XiongSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Juan JiangDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yuping LiuDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Shujin GuoDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Xiaopeng YaoSchool of Public Health, Southwest Medical University, Luzhou, China.
Zhengwei WanDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Junlin ZhangDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Ping ShuaiDepartment of Health Management & Physical Examination, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the associations of longitudinal trajectories of the serum uric acid to high-density lipoprotein cholesterol ratio (UHR) and fasting plasma glucose (FPG) with chronic kidney disease (CKD) risk.

methodsIn this retrospective cohort study, we included 7,541 adults who underwent at least three annual health examinations. Cox proportional hazards models were used to evaluate associations of UHR and FPG (in quartiles) with incident CKD. Group-based multi-trajectory modeling (GBMTM) was subsequently applied to identify distinct joint trajectories of UHR and FPG.

resultsDuring follow-up, 558 participants developed CKD (incidence 7.40%). In fully adjusted Cox models, higher UHR quartiles remained independently associated with increased CKD risk. The association for FPG was attenuated after full adjustment.GBMTM identified four joint trajectory groups: Group 1(low UHR-low FPG), Group 2(moderate UHR-moderate FPG), Group 3(moderate-high UHR with fluctuating moderate FPG), and Group 4(high UHR with fluctuating moderate FPG). Compared to Group 1, the adjusted hazard ratios (95% CI) for CKD were 1.34 (1.05 ∼ 1.70) for Group 2, 2.31 (1.73 ∼ 3.09) for Group 3, and 4.21 (2.88 ∼ 6.15) for Group 4. Subgroup analyses generally supported these findings.

conclusionsWhile elevated UHR is independently associated with the risk of developing CKD, the association for FPG was attenuated after full adjustment. The joint trajectory analysis highlights that their dynamic co-evolution is significantly associated with CKD risk, identifying a high-risk phenotype that may inform early risk stratification.

Indexed as

Blood GlucoseCholesterol, HDLRenal Insufficiency, ChronicUric AcidAdultAgedFastingFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsBlood GlucoseCholesterol, HDLUric AcidChronic kidney diseasefasting plasma glucoseGroup-based multi trajectory modelsserum uric acid/high density lipoprotein cholesterol ratio

Identifiers

PMID42317007
PMCPMC13288539

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.