Evidence map›Paper›PMID 35340281›Full record

ArticleGeoHealth2022

Spatial Analysis and Lead-Risk Assessment of Philadelphia, USA.

H Caballero-Gómez, H K White, M J O'Shea, R Pepino, M Howarth, R Gieré

Open access · goldAbstract read
In one paragraph

Article in GeoHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Environmentally Mediated Health Disparities.The American journal of medicine · 2023
    Review
  4. Article
  5. 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

6 authors at 3 institutions in 1 country.

H Caballero-GómezDepartment of Chemistry Haverford College Haverford PA USA.ORCID https://orcid.org/0000-0003-0403-0410
H K WhiteDepartment of Chemistry Haverford College Haverford PA USA.
M J O'SheaDepartment of Earth and Environmental Science University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0002-8674-2974
R PepinoDepartment of Earth and Environmental Science University of Pennsylvania Philadelphia PA USA.
M HowarthCenter of Excellence in Environmental Toxicology University of Pennsylvania Philadelphia PA USA.
R GieréDepartment of Earth and Environmental Science University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0001-8507-1956
University of the Sciences · USHaverford College · USUniversity of Pennsylvania · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
Steer and trees summer research programsR25ES021649 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI FIELD, JEFFREY M · 2013 to 2022
$830k
NIEHS NIH HHS P30 ES013508NIEHS NIH HHS R25 ES021649
6 · The paper itself

Abstract

Childhood lead poisoning is an issue that continues to plague major U.S. cities. Despite efforts by the Philadelphia Department of Public Health to curtail systemic childhood lead poisoning, children continue to be identified with elevated blood lead levels. The persistence of elevated blood lead levels in children is concerning because lead poisoning has been linked to decreases in academic achievement and IQ, with associated repercussions for entire communities. This paper reports the results of an analysis of the spatial distribution of houses with lead paint (i.e., pre-1978), demolitions, and occurrence of historic smelters, in West and North Philadelphia, relative to elevated blood lead level data, to determine which lead sources act as primary lead-risk factors. The presence of lead paint in homes and the number of demolitions of older properties were found to have the highest correlations to elevated blood lead levels for children in Philadelphia. Using lead-risk factors including lead paint, housing code violations, demolitions, and owner-occupied housing units, a lead-risk assessment was performed at the census tract level to identify future soil sampling sites and high-risk neighborhoods in Philadelphia. These sites of high risk for lead exposure, and in particular the census tracts 175 and 172, should be prioritized for lead poisoning prevention initiatives.

Identifiers

PMID35340281
PMCPMC8934574
OpenAlexW4214723288

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.