Evidence map›Paper›PMID 34054136›Full record

ArticleGeochimica et cosmochimica acta2020

Regulation of groundwater arsenic concentrations in the Ravi, Beas, and Sutlej floodplains of Punjab, India.

Anand Kumar, Chander Kumar Singh, Benjamin Bostick, Athena Nghiem, Brian Mailloux, Alexander van Geen

Open access · greenAbstract read
In one paragraph

Article in Geochimica et cosmochimica acta, 2020. 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
1.6field-weighted citation impact, top 19% of its field
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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Groundwater Arsenic Distribution in India by Machine Learning Geospatial Modeling.International journal of environmental research and public health · 2020
    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

6 authors at 4 institutions in 2 countries.

Anand KumarDepartment of Energy and Environment, TERI School of Advanced Studies, New Delhi.
Chander Kumar SinghDepartment of Energy and Environment, TERI School of Advanced Studies, New Delhi.
Benjamin BostickLamont Doherty Earth Observatory, Columbia University, New York, USA.
Athena NghiemLamont Doherty Earth Observatory, Columbia University, New York, USA.
Brian MaillouxEnvironmental Sciences Department, Barnard College, New York, USA.
Alexander van GeenLamont Doherty Earth Observatory, Columbia University, New York, USA.
Columbia University · USBarnard College · USDepartment of Energy and Environment · USEnergy and Resources Institute · IN

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
NIEHS NIH HHS P42 ES010349
6 · The paper itself

Abstract

Recent testing has shown that shallow aquifers of the Ravi River floodplain are more frequently affected by groundwater arsenic (As) contamination than other floodplains of the upper Indus River basin. In this study, we explore the geochemical origin of this contrast by comparing groundwater and aquifer sand composition in the 10-30 m depth range in 11 villages along the Ravi and adjacent Beas and Sutlej rivers. The drilling was preceded by testing wells in the same villages with field kits not only for As but also for nitrate (NO

Identifiers

PMID34054136
PMCPMC8158677
OpenAlexW3011705518

What OpenQuestion holds

Textmetadata
LicenceTDM
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.