Evidence map›Paper›PMID 35522388›Full record

ReviewCurrent environmental health reports2022

Assessing Exposure to Unconventional Oil and Gas Development: Strengths, Challenges, and Implications for Epidemiologic Research.

Nicole C Deziel, Cassandra J Clark, Joan A Casey, Michelle L Bell, Desiree L Plata, James E Saiers

Abstract readReview
In one paragraph

Review in Current environmental health reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. US drinking water quality: exposure risk profiles for seven legacy and emerging contaminants.Journal of exposure science & environmental epidemiology · 2024
    Review
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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

6 authors.

Nicole C DezielDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College St., New Haven, CT, 06510, USA. Nicole.deziel@yale.edu.ORCID 0000-0002-5751-9191
Cassandra J ClarkDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College St., New Haven, CT, 06510, USA.
Joan A CaseyDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, 630 West 168th Street, Room 16-416, New York, NY, 10032, USA.
Michelle L BellYale School of the Environment, 195 Prospect St., New Haven, CT, 06511, USA.
Desiree L PlataDepartment of Civil and Environmental Engineering, Parsons Laboratory, Massachusetts Institute of Technology, 15 Vassar Street, Cambridge, MA, 02139, USA.
James E SaiersYale School of the Environment, 195 Prospect St., New Haven, CT, 06511, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The Yale Cancer Prevention and Control Training ProgramT32CA250803 · NCI · YALE UNIVERSITY · PI Melinda L Irwin, Xiaomei Ma · 2020 to 2026
$2.3M
The Impact of Unconventional Natural Gas Development on Maternal, Perinatal, and Childhood Health: an Electronic Health Record ApproachR00ES027023 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CASEY, JOAN A · 2019 to 2021
$747k
Evaluating Exposure to Unconventional Oil and Gas Development and Childhood Leukemia RiskF31ES031441 · NIEHS · YALE UNIVERSITY · PI CLARK, CASSANDRA JANE · 2020 to 2021
$69k
EPA CR839249NCATS NIH HHS UL1 TR001863NCI NIH HHS T32 CA250803NIEHS NIH HHS F31 ES031441NIEHS NIH HHS F31ES031441NIEHS NIH HHS R00 ES027023NIH HHS R00 ES027023Yale University T32CA250803
6 · The paper itself

Abstract

purpose of reviewEpidemiologic studies have observed elevated health risks in populations living near unconventional oil and gas development (UOGD). In this narrative review, we discuss strengths and limitations of UOG exposure assessment approaches used in or available for epidemiologic studies, emphasizing studies of children's health outcomes. RECENT

findingsExposure assessment challenges include (1) numerous potential stressors with distinct spatiotemporal patterns, (2) critical exposure windows that cover long periods and occur in the past, and (3) limited existing monitoring data coupled with the resource-intensiveness of collecting new exposure measurements to capture spatiotemporal variation. All epidemiologic studies used proximity-based models for exposure assessment as opposed to surveys, biomonitoring, or environmental measurements. Nearly all studies used aggregate (rather than pathway-specific) models, which are useful surrogates for the complex mix of potential hazards. Simple and less-specific exposure assessment approaches have benefits in terms of scalability, interpretability, and relevance to specific policy initiatives such as set-back distances. More detailed and specific models and metrics, including dispersion methods and stressor-specific models, could reduce exposure misclassification, illuminate underlying exposure pathways, and inform emission control and exposure mitigation strategies. While less practical in a large population, collection of multi-media environmental and biological exposure measurements would be feasible in cohort subsets. Such assessments are well-suited to provide insights into the presence and magnitude of exposures to UOG-related stressors in relation to spatial surrogates and to better elucidate the plausibility of observed effects in both children and adults.

Indexed as

Environmental ExposureAdultChildEpidemiologic StudiesHumansChildren’s healthEpidemiologic studiesExposure assessmentUnconventional oil and gas

Identifiers

PMID35522388
PMCPMC9363472

What OpenQuestion holds

Textmetadata
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.