Evidence map›Paper›PMID 39733357›Full record

ArticleJournal of water and health2024

Health risk assessment using Monte-Carlo simulations due to arsenic contamination in groundwater in Punjab.

Sangeeta Yadav, Sunil Kalkal

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of water and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Impact of Pollution on Cancer: A Systematic Review and Meta-Analysis with Focus on Air Pollution.International journal of environmental research and public health · 2026
    Pooled it
  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.

Sangeeta YadavDepartment of Physics and Materials Science, Thapar Institute of Engineering and Technology, Patiala, Punjab, India.ORCID https://orcid.org/0009-0009-1777-4428
Sunil KalkalDepartment of Physics and Materials Science, Thapar Institute of Engineering and Technology, Patiala, Punjab, India E-mail: sunil.devi@thapar.edu.ORCID https://orcid.org/0000-0002-2677-021X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater contamination is a major environmental concern in many regions of India, including several districts of Punjab. In this study, a comparison is carried out between the deterministic and probabilistic approaches for calculating health hazard parameters due to arsenic contamination in groundwater in India. The probabilistic calculations are carried out through Monte-Carlo simulations to quantify the hazard index (HI) and carcinogenic risk. Sensitivity analysis is carried out to determine the contribution of input variables to the HI. From the deterministic and probabilistic approach, an HI greater than one is obtained in adults for all districts except Moga, whereas, for children, the HI is greater than 1 in all districts. This suggests a higher probability of risks, such as developmental problems and cardiovascular disorders. Excess lifetime carcinogenic risk, a measure of carcinogenic risk, is found above the US Environmental Protection Agency's recommended range of 1 × 10

Indexed as

ArsenicGroundwaterMonte Carlo MethodWater Pollutants, ChemicalAdultChildEnvironmental ExposureEnvironmental MonitoringHumansIndiaRisk AssessmentArsenicWater Pollutants, Chemicalarsenicdeterministic approachgroundwaterhazard indexMonte-Carlo simulations

Identifiers

PMID39733357

What OpenQuestion holds

Textmetadata
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.