Evidence map›Paper›PMID 35647633›Full record

ArticleEnvironmental health perspectives2022

Patterns of Children's Blood Lead Screening and Blood Lead Levels in North Carolina, 2011-2018-Who Is Tested, Who Is Missed?

Elizabeth M Kamai, Julie L Daniels, Paul L Delamater, Bruce P Lanphear, Jacqueline MacDonald Gibson, David B Richardson

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Association between proximity to a lead-releasing facility and cognition in diverse cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Pooled it
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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 at 4 institutions in 2 countries.

Elizabeth M KamaiDepartment of Epidemiology, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, North Carolina, USA.ORCID 0000-0002-3543-1623
Julie L DanielsDepartment of Epidemiology, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, North Carolina, USA.
Paul L DelamaterDepartment of Geography, UNC-Chapel Hill, Chapel Hill, North Carolina, USA.
Bruce P LanphearFaculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada.
Jacqueline MacDonald GibsonDepartment of Environmental and Occupational Health, Indiana University, Bloomington, Indiana, USA.
David B RichardsonDepartment of Environmental and Occupational Health, University of California, Irvine, California, USA.
University of North Carolina at Chapel Hill · USIndiana University Bloomington · USSimon Fraser University · CAUniversity of California, Irvine · US

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

backgroundNo safe level of lead in blood has been identified. Blood lead testing is required for children on Medicaid, but it is at the discretion of providers and parents for others. Elevated blood lead levels (EBLLs) cannot be identified in children who are not tested.

objectivesThe aims of this research were to identify determinants of lead testing and EBLLs among North Carolina children and estimate the number of additional children with EBLLs among those not tested.

methodsWe linked geocoded North Carolina birth certificates from 2011-2016 to 2010 U.S. Census data and North Carolina blood lead test results from 2011-2018. We estimated the probability of being screened for lead and created inverse probability (IP) of testing weights. We evaluated the risk of an EBLL of

resultsMothers of the 63.5% of children (402,002 of 633,159) linked to a blood lead test result were disproportionately young, Hispanic, Black, American Indian, or on Medicaid. In full models, maternal age DISCUSSION: Our results indicate that current North Carolina lead screening strategies fail to identify over 30% (17,543 of 57,398) of children with subclinical lead poisoning and that accounting for characteristics at birth alters the conclusions about racial disparities in children's EBLLs. https://doi.org/10.1289/EHP10335.

Indexed as

LeadLead PoisoningChildHumansInfant, NewbornMass ScreeningNorth CarolinaRiskUnited StatesLead

Identifiers

PMID35647633
PMCPMC9158533
OpenAlexW4281706014

What OpenQuestion holds

Textmetadata
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.