ArticleMetabolism open2025
Higher serum uric acid levels and risk of all-cause mortality in general population: a systematic review and meta-analysis.
Article in Metabolism open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Interactions between serum uric acid and gut microbiota: implications for metabolic health.Metabolism open · 2026Review
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Population-based studies have reported a relationship between high serum uric acid (SUA) levels and all-cause mortality; however, findings are inconsistent. To address this issue, we conducted a meta-analysis of general population-based studies. Methods: A systematic search was conducted in PubMed, Ovid Medline, EMBASE, and Web of science to identify relevant peer-reviewed articles using pre-specified search terms. Population-based cohort studies investigating the association between SUA levels and all-cause mortality were included. Risk ratios (RR) for all-cause mortality were calculated for higher and lower SUA levels based on data reporting on exposure and outcome. A meta-analysis based on a log-transformed random effect maximum likelihood model was used to obtain summary risk estimates. Heterogeneity was assessed through subgroup analysis and meta-regression of the study-level covariates. Results: Thirty-four studies with more than 2.5 million participants were identified and analysed. Higher SUA levels were associated with an increased risk of all-cause mortality (RR: 1.32; 95 % confidence intervals (CIs):1.26-1.39, p < 0.001). The risk of mortality was higher in women (RR:1.91; 95 %CI:1.40-2.61, p < 0.001) compared to men (RR:1.16; 95 %CI:1.08 1.24, p < 0.001). Subgroup analyses suggested that middle-aged adults (RR: 1.52, 95 %CI: 1.35-1.68), individuals living in OECD countries (RR:1.39, 95 %CI:1.28-1.49) and those of Caucasian ethnicity (RR:1.43, 95 %CI:1.35-1.51) reported a greater impact of elevated SUA levels on all-cause mortality. Conclusions: Higher SUA levels were associated with a significant increase in the risk of all-cause mortality, with women appearing to be at greater risk than men. These findings highlight the need for research into mechanisms underlying the association between SUA and mortality and the reason for the sex difference identified.
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Registered trials
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.