Evidence map›Paper›PMID 37328532›Full record

ArticleScientific data2023

Identifying and sharing per-and polyfluoroalkyl substances hot-spot areas and exposures in drinking water.

Sweta Ojha, P Travis Thompson, Christian D Powell, Hunter N B Moseley, Kelly G Pennell

Abstract read
In one paragraph

Article in Scientific data, 2023. 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

5 authors.

Sweta OjhaUniversity of Kentucky, College of Engineering, Department of Civil Engineering, Lexington, Kentucky, USA.
P Travis ThompsonUniversity of Kentucky Superfund Research Center (UKSRC), Lexington, Kentucky, USA.
Christian D PowellUniversity of Kentucky Superfund Research Center (UKSRC), Lexington, Kentucky, USA.
Hunter N B MoseleyUniversity of Kentucky Superfund Research Center (UKSRC), Lexington, Kentucky, USA.ORCID 0000-0003-3995-5368
Kelly G PennellUniversity of Kentucky, College of Engineering, Department of Civil Engineering, Lexington, Kentucky, USA. kellypennell@uky.edu.ORCID 0000-0003-3423-9610

Funding

Vascular Mechanisms of PCB-Induced Brain MetastasesP42ES007380 · NIEHS · UNIVERSITY OF KENTUCKY · PI PENNELL, KELLY G · 1997 to 2024
$47.8M
NIEHS NIH HHS P42 ES007380
6 · The paper itself

Abstract

Exposure to per- and polyfluoroalkyl substances (PFAS) in drinking water is widely recognized as a public health concern. Decision-makers who are responsible for managing PFAS drinking water risks lack the tools to acquire the information they need. In response to this need, we provide a detailed description of a Kentucky dataset that allows decision-makers to visualize potential hot-spot areas and evaluate drinking water systems that may be susceptible to PFAS contamination. The dataset includes information extracted from publicly available sources to create five different maps in ArcGIS Online and highlights potential sources of PFAS contamination in the environment in relation to drinking water systems. As datasets of PFAS drinking water sampling continue to grow as part of evolving regulatory requirements, we used this Kentucky dataset as an example to promote the reuse of this dataset and others like it. We incorporated the FAIR (Findable, Accessible, Interoperable, and Reusable) principles by creating a Figshare item that includes all data and associated metadata with these five ArcGIS maps.

Indexed as

Drinking WaterFluorocarbonsWater Pollutants, ChemicalBase SequencePublic HealthDrinking WaterFluorocarbonsWater Pollutants, Chemical

Identifiers

PMID37328532
PMCPMC10275912

What OpenQuestion holds

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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.