Evidence map›Paper›PMID 40948728›Full record

ArticleSustainable environment2025

Exploring viable buyout pathways for enhanced health in Galena Park, TX.

Garett T Sansom, Ruby Hernandez, Lyssa M Losa, Jacquita N Johnson, Galen Newman, Kayode Atoba, Jaimie Hicks Masterson, Deidra Davis, Weihsueh Chiu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sustainable environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Garett T SansomDepartment of Environmental and Occupational Health, Texas A&M School of Public Health, College Station, TX, USA.
Ruby HernandezDepartment of Environmental and Occupational Health, Texas A&M School of Public Health, College Station, TX, USA.
Lyssa M LosaDepartment of Environmental and Occupational Health, Texas A&M School of Public Health, College Station, TX, USA.
Jacquita N JohnsonDepartment of Environmental and Occupational Health, Texas A&M School of Public Health, College Station, TX, USA.
Galen NewmanDepartment of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX, USA.
Kayode AtobaDepartment of Marine & Coastal Environmental Science, Texas A&M University, Galveston, TX, USA.
Jaimie Hicks MastersonDepartment of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX, USA.
Deidra DavisDepartment of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX, USA.
Weihsueh ChiuDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Efstratios Pistikopoulos · 2017 to 2026
$21.2M
NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

This study addresses the pressing need for effective solutions to public health concerns in environmental justice communities, where traditional approaches often fall short. Buyouts, the purchase of an eligible property with the intent to reduce risk, have emerged as a promising strategy; yet, their implementation faces challenges related to cost and the identification of willing participants. To explore this issue, a cross-sectional study (

Indexed as

Buyout Programscommunity resiliencepublic health riskToxic Release Inventory (TRI) Facilities

Identifiers

PMID40948728
PMCPMC12425489

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.