Evidence map›Paper›PMID 40448465›Full record

ArticleJournal of water and health2025

Analysis of heavy metal contamination in groundwater and associated probabilistic human health risk assessment using Monte Carlo simulation: A case study in Gaya, Bihar.

Suraj Kumar, Nityanand Singh Maurya

Abstract read
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Article in Journal of water and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Suraj KumarDepartment of Civil Engineering, National Institute of Technology Patna, Bihar, India.
Nityanand Singh MauryaDepartment of Civil Engineering, National Institute of Technology Patna, Bihar, India E-mail: nsmaurya@nitp.ac.in.ORCID https://orcid.org/0000-0001-5787-4428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The occurrence of heavy metal contamination in groundwater poses significant health risks through ingestion and dermal exposure, with potential links to cancer and other diseases. This study evaluated groundwater samples for 10 heavy metals (Al, As, Cr, Cu, Cd, Fe, Mn, Ni, Pb, and Zn) using ICP-OES. While cadmium and chromium levels were within acceptable limits prescribed by the Bureau of Indian Standards, aluminum and iron exceeded these limits in 56 and 58% of samples, respectively. Other metals surpassed limits in 2-20% of cases. Health risk analysis revealed non-carcinogenic risks for 28% of adults and 44% of children, alongside carcinogenic risks from arsenic (36% of samples) and nickel (46% of samples), especially affecting children. Sensitivity analysis highlighted heavy metal concentration as the key variable influencing risk, and principal component analysis suggested geogenic sources, like rock weathering, as major contributors to contamination. Despite these risks, the heavy metal pollution index remained within acceptable limits for all samples. The study emphasizes the necessity for continuous monitoring and targeted mitigation strategies to address heavy metal contamination and protect public health.

Indexed as

Environmental MonitoringGroundwaterMetals, HeavyWater Pollutants, ChemicalChildHumansIndiaMonte Carlo MethodRisk AssessmentMetals, HeavyWater Pollutants, Chemicalgroundwaterhealth risk assessmentheavy metal contaminationpollution indicesprincipal component analysissensitivity analysis

Identifiers

PMID40448465

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.