Evidence map›Paper›PMID 35939450›Full record

ArticlePloS one2022

Heavy metal contamination in the complete stretch of Yamuna river: A fuzzy logic approach for comprehensive health risk assessment.

Maneesh Jaiswal, Sanjay Kumar Gupta, Mayuri Chabukdhara, Mahmoud Nasr, Arvind Kumar Nema, Jakir Hussain, Tabarak Malik

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Maneesh JaiswalDepartment of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Sanjay Kumar GuptaDepartment of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Mayuri ChabukdharaDepartment of Environmental Biology and Wildlife Sciences, Cotton University, Guwahati, Assam, India.
Mahmoud NasrEnvironmental Engineering Department, Egypt-Japan University of Science and Technology (E-JUST), Alexandria, Egypt.ORCID 0000-0001-5115-135X
Arvind Kumar NemaDepartment of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Jakir HussainUpper River Yamuna Board, Department of Water Resources, River Development and Ganga Rejuvenation, New Delhi, India.
Tabarak MalikDepartment of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-8332-7927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

River Yamuna is one of the most sacred major tributaries of river Ganga. This study aimed to assess the level of heavy metals in monsoon and non-monsoon season in river Yamuna in Uttar Pradesh, India and to assess the possible source of contamination and its associated health risk. Except for iron (Fe), the mean levels of all metals were within drinking water safe limits in both seasons. Except for chromium (Cr), lower values were observed for other metals in the monsoon season could be attributed dilution effect. Multivariate analysis indicated that both geogenic and anthropogenic sources contribute to heavy metals in river Yamuna in monsoon and non-monsoon seasons. The health risk in terms of hazard index (HI) and fuzzy-logic hazard index (FHI) demonstrated that both HI and FHI values among children exceeded the safe limit in most of the sites in non-monsoon seasons and in few in monsoon season. For adults, HI and FHI values were within safe limit.

Indexed as

Metals, HeavyWater Pollutants, ChemicalAdultChildEnvironmental MonitoringFuzzy LogicHumansIndiaRisk AssessmentRiversSeasonsMetals, HeavyWater Pollutants, Chemical

Identifiers

PMID35939450
PMCPMC9359575

What OpenQuestion holds

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LicenceCC BY
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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.