Evidence map›Paper›PMID 36828212›Full record

ReviewThe American journal of medicine2023

Environmentally Mediated Health Disparities.

Marilyn V Howarth, Arnold R Eiser

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 1 institution in 1 country.

Marilyn V HowarthCenter of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Arnold R EiserCenter of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia. Electronic address: arnold.eiser@pennmedicine.upenn.edu.
University of Pennsylvania · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

We describe important settings where environmental exposure leads to disease disparities. Lead exposure in urban settings disproportionately impacts the urban Black poor. Native Americans have been forcibly relocated to areas of the West that have arsenic-contaminated groundwater or exposure to radionuclides near mines and nuclear development. Latino farm workers are disproportionately exposed to pesticides and herbicides. These chemicals are associated with cancer, neuropsychiatric disorders, renal failure, and respiratory disorders. The rural poor, both white and of color, are disproportionately impacted by hydraulic fracturing, exposing residents to volatile organic compounds such as toluene and benzene and heavy metals such as lead and arsenic. The urban and rural poor are both exposed to air pollution that significantly impact health. Short- and long-term ambient air pollution exposure has been associated with all-cause cardiovascular disease, stroke, blood pressure, and ischemic heart disease. Cancer due to air pollution has disproportionately impacted poor communities like "Cancer Alley" where numerous industrial sources are geographically clustered. Understanding local environmental hazards and available resources to address them can enhance the quality of medical care.

Indexed as

Air PollutionArsenicNeoplasmsEnvironmental ExposureEnvironmental PollutionHumansArsenicArsenicDisparitiesHerbicideHydraulic fracturingLeadPesticideRadionuclideToxicants

Identifiers

PMID36828212
PMCPMC10213113
OpenAlexW4321487346

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.