Evidence map›Paper›PMID 41502577›Full record

ArticleBMJ nutrition, prevention & health2025

Mortality risk prediction of uric acid to high-density lipoprotein cholesterol ratio in community residents: a cohort study.

Juzhong Ke, Qingping Liu, Xiaolin Liu, Kang Wu, Hua Qiu, Jiahui Song, Xiaonan Ruan, Yi Zhou

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 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

8 authors.

Juzhong KeShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.ORCID https://orcid.org/0009-0000-0921-4492
Qingping LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.
Xiaolin LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.
Kang WuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.
Hua QiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.
Jiahui SongShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.
Xiaonan RuanShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.
Yi ZhouShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The serum uric acid to high-density lipoprotein cholesterol ratio (UHR) is a marker reflecting systemic inflammation and metabolic dysregulation. This study aimed to explore the association of UHR with all-cause and cause-specific mortality in a community-based Chinese cohort. Methods: This study included 9448 participants from the community-based prospective cohort study conducted in Pudong New Area, Shanghai, China. We employed Cox proportional hazards regression to assess the associations between UHR quartiles and mortality risks. Nonlinear trends were examined through restricted cubic spline Cox regression, while bivariate exposure-response surface plots showed the joint effects of UHR and age. Model performance improvements were evaluated using C-index changes, integrated discrimination improvement and net reclassification improvement. Results: During a median follow-up of 10.77 years, 987 deaths occurred. Compared with the lowest quartile (Q1), the highest UHR quartile (Q4) exhibited a 37% increased risk for all-cause mortality (HR=1.37, 95% CI: 1.14 to 1.65, p=0.001) and a 49% increased risk for cardiovascular mortality (HR=1.49, 95% CI: 1.10 to 2.00, p<0.01). The correlation between UHR and all-cause mortality risk exhibited an inverted L-shaped curve, whereas no significant nonlinear pattern was observed for cardiovascular mortality. Bivariate response analysis revealed a significant synergistic effect between UHR and age on all-cause mortality (p<0.05). The addition of UHR significantly improved the prediction performance of conventional models for all-cause and cardiovascular mortality. Conclusions: Our findings establish UHR as an independent risk factor for all-cause and cardiovascular mortality, and the impact of UHR on all-cause mortality varies with age.

Indexed as

BiomarkerDiabetes mellitusLipid lowering

Identifiers

PMID41502577
PMCPMC12772544

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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.