Evidence map›Paper›PMID 36042839›Full record

ArticleKansas journal of medicine2022

Rural and Urban Ecologies of Early Childhood Toxic Lead Exposure: The State of Kansas, 2005 to 2012.

Deniz Yeter, Deena Woodall, Matthew Dietrich, Barbara Polivka

Abstract read
In one paragraph

Article in Kansas journal of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Deniz YeterMedical Telemetry, University of Kansas Health System, Kansas City, KS.
Deena WoodallSchool of Nursing, University of Kansas Medical Center, Salina, KS.
Matthew DietrichDepartment of Earth Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN.
Barbara PolivkaSchool of Nursing, University of Kansas Medical Center, Kansas City, KS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: No safe detectable level of lead (Pb) exists in the blood of children. Until recently, U.S. Centers for Disease Control and Prevention (CDC) guidelines designated a blood lead level (BLL) ≥ 5 μg/dL as an elevated BLL (EBLL). For the State of Kansas, early childhood blood lead burdens lack reporting in the literature. Methods: Secondary analysis was conducted of passively reported EBLL rates ≥ 5 μg/dL among children ages 0 - 5 years at the zip code-level in Kansas during 2005 to 2012. Data weights using corresponding population estimates were applied to produce statewide outcomes. Results: Statewide estimates of annual testing coverage in Kansas among children ages 0 - 5 years were low (9.7%). Approximately 17,000 children ages 0 - 5 years developed an EBLL ≥ 5 μg/dL each year in Kansas with a 6.9% statewide EBLL rate compared to the national rate of 3.2% for the corresponding years. Significant variations in EBLL rates were found between suburban zip codes compared to urban, urban cluster, or rural at 3.1%, 7.2%, 8.8%, and 10.0%, respectively. Among the worst outcomes in EBLL rates was observed for zip codes in southeast Kansas (13.5%) and rural areas with < 500 persons (15.1%). Conclusions: Young children in Kansas had twice the risk of developing an EBLL ≥ 5 μg/dL compared to the national rate, while higher rates consistently were seen outside of the suburbs and particularly in more rural and less populated areas. At-risk children and troubled areas of toxic lead exposure in the State of Kansas require increased recognition with improved targeting and interventions.

Indexed as

adverse childhood experiencesepidemiologylead poisoningpublic healthrural health

Identifiers

PMID36042839
PMCPMC9409934

What OpenQuestion holds

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Registered trials

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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.