Evidence map›Paper›PMID 41772549›Full record

ArticleBMC public health2026

Spatiotemporal lag effects of surface water quality on liver cirrhosis mortality risk in China: a nine-year time-series study of environmental driving mechanism.

Qiuping Chen, Quan Sun, Mingyi Shao

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Qiuping Chen *Spleen and stomach hepatobiliary department, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, 450000, Henan province, China.
Quan Sun *Health Care Security and Pharmacoeconomic Evaluation Branch, China Medical Education Association, Beijing, 100071, China. quans625@126.com.
Mingyi ShaoSpleen and stomach hepatobiliary department, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, 450000, Henan province, China. shmy1016@163.com.

Funding

National Natural Science Foundation of China 82474681Natural Science Foundation of Sichuan Province 2024NSFSC1829
6 · The paper itself

Abstract

backgroundSurface water is a major source of domestic water supply in China, yet its quality remains uneven despite recent improvements. Chronic exposure to surface-water pollution has been implicated in liver injury, but evidence linking water quality to cirrhosis mortality—particularly accounting for delayed and non-linear effects—remains limited. We investigated the spatiotemporal associations between surface water quality and cirrhosis mortality in China.

methodsWe conducted a nationwide ecological study integrating surface water monitoring data and cirrhosis mortality data from 2013 to 2021. Distributed lag non-linear models (DLNMs) were applied to assess non-linear and lagged associations (0-2 years) between overall water-quality classes and key pollution indicators, including total phosphorus (TP), chemical oxygen demand, dichromate method (CODCr), and five-day biochemical oxygen demand (BOD5). Analyses were stratified by sex and urban-rural residence.

resultsSurface water quality was associated with cirrhosis mortality in a non-linear, delayed, and population-specific manner. Moderate and poor water quality exhibited distinct temporal risk patterns, with sustained exposure to moderate pollution associated with a higher cumulative mortality risk. TP and CODCr showed clear non-linear associations with mortality that intensified at longer lags, whereas BOD5 displayed a U-shaped relationship with relative risks remaining below unity. Stronger and more persistent effects were observed among males and rural residents.

conclusionsOur findings indicate that long-term exposure to moderate surface-water pollution and persistent nutrient and organic contamination contribute to cirrhosis mortality in China. Water-quality management strategies should account for delayed health effects and population vulnerability, with targeted interventions prioritising sustained pollution reduction and protection of high-risk groups.

Indexed as

Liver CirrhosisWater PollutionWater QualityChinaFemaleHumansMaleSpatio-Temporal AnalysisCirrhosis mortalityDistributed lag non-linear modelSpatiotemporal lag effectSurface water quality

Identifiers

PMID41772549
PMCPMC13059183

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