Evidence map›Paper›PMID 41600568›Full record

ArticleToxics2025

Groundwater Driving Factors Identification and Its Associated Human Health Risk Assessment in a Metropolitan City of Southwest China.

Xiaoyan Zhao, Huan Luo, Rongwen Yao, Zhan Xie, Si Chen, Lizhou Zhang, Yunhui Zhang, Yangshuang Wang, Yang Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Xiaoyan ZhaoFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Huan LuoFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.ORCID 0000-0003-3431-0771
Rongwen YaoFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Zhan XieFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.ORCID 0009-0001-5963-1240
Si ChenObservation and Research Station of Ecological Restoration for Chongqing Typical Mining Areas, Ministry of Natural Resources, Chongqing Institute of Geology and Mineral Resources, Chongqing 401120, China.
Lizhou ZhangChongqing Academy of Surveying and Mapping, Chongqing 401120, China.
Yunhui ZhangFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.ORCID 0000-0001-9833-2908
Yangshuang WangFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Yang LiuChongqing Academy of Surveying and Mapping, Chongqing 401120, China.

Funding

Natural and Science Foundation of Chongqing cstc2021jcyj-msxmX1137, CSTB2022NSCQMSX0881Sichuan Science and Technology Program 2025YFHZ0269, 2025ZNSFSC0307Yibin Science and Technology Program YBSCXY2023020006, YBSCXY2023020007
6 · The paper itself

Abstract

Health risks associated with groundwater deterioration have become increasingly prominent worldwide. Accurate assessment of human health risks associated with groundwater is a critical component of groundwater development and utilization, particularly in large metropolitan areas with high water resource demands. In our study, 37 groundwater samples were collected from the main urban areas of Chongqing, the largest city in southwest China, to identify the groundwater driving factors and their associated human health risk. The primary hydrochemical facies in the study area is Ca-HCO

Indexed as

groundwaterhuman health riskhydrochemistrykernel density method

Identifiers

PMID41600568
PMCPMC12846093

What OpenQuestion 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 OpenQuestion graph.