Evidence map›Paper›PMID 34859166›Full record

ArticleGeoHealth2021

Area-Based Geocoding: An Approach to Exposure Assessment Incorporating Positional Uncertainty.

Laura K Thompson, Bryan Langholz, Daniel W Goldberg, John P Wilson, Beate Ritz, Carrie Tayour, Myles Cockburn

Abstract read
In one paragraph

Article in GeoHealth, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Prenatal ambient pesticide exposure and childhood retinoblastoma.International journal of hygiene and environmental health · 2022
    Article
  3. 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

7 authors.

Laura K ThompsonDepartment of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID https://orcid.org/0000-0001-9581-9032
Bryan LangholzDepartment of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles CA USA.
Daniel W GoldbergDepartment of Geography College of Geosciences Texas A&M University College Station TX USA.
John P WilsonSpatial Sciences Institute University of Southern California Los Angeles CA USA.ORCID https://orcid.org/0000-0001-5969-0729
Beate RitzDepartment of Epidemiology and Environmental Sciences Fielding School of Public Health University of California Los Angeles CA USA.
Carrie TayourLos Angeles County Department of Public Health Los Angeles CA USA.
Myles CockburnDepartment of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles CA USA.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
INNOVATIVE SOLUTIONS TO SPATIAL UNCERTAINTY IN GEOCODINGR01CA195218 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COCKBURN, MYLES G, LANGHOLZ, BRYAN M. · 2015 to 2016
$755k
Air Pollution and Childhood Cancers in CaliforniaR21ES018960 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HECK, JULIA · 2010 to 2011
$421k
Pesticide Exposure and Childhood Cancer StudyR21ES019986 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2011 to 2012
$409k
NCI NIH HHS R01 CA195218NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R21 ES018960NIEHS NIH HHS R21 ES019986
6 · The paper itself

Abstract

While the spatial resolution of exposure surfaces has greatly improved, our ability to locate people in space remains a limiting factor in accurate exposure assessment. In this case-control study, two approaches to geocoding participant locations were used to study the impact of geocoding uncertainty on the estimation of ambient pesticide exposure and breast cancer risk among women living in California's Central Valley. Residential and occupational histories were collected and geocoded using a traditional point-based method along with a novel area-based method. The standard approach to geocoding uses centroid points to represent all geocoded locations, and is unable to adapt exposure areas based on geocode quality, except through the exclusion of low-certainty locations. In contrast, area-based geocoding retains the complete area to which an address matched (the same area from which the centroid is returned), and therefore maintains the appropriate level of precision when it comes to assessing exposure by geography. Incorporating the total potential exposure area for each geocoded location resulted in different exposure classifications and resulting odds ratio estimates than estimates derived from the centroids of those same areas (using a traditional point-based geocoder). The direction and magnitude of these differences varied by pesticide, but in all cases odds ratios differed by at least 6% and up to 35%. These findings demonstrate the importance of geocoding in exposure estimation and suggest it is important to consider geocode certainty and quality throughout exposure assessment, rather than simply using the best available point geocodes.

Indexed as

breast cancerexposure assessmentgeocodingpesticidespositional uncertainty

Identifiers

PMID34859166
PMCPMC8612311

What OpenQuestion holds

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LicenceCC BY-NC
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.