Evidence map›Paper›PMID 29500732›Full record

ArticleEnvironmental monitoring and assessment2018

Exploration of spatial patterns of congenital anomalies in Los Angeles County using the vital statistics birth master file.

Radhika Rible, Efren Aguilar, Angela Chen, Joshua L Bader, Leslie Goodyear-Moya, Karen Teekadai Singh, Suzanne E Paulson, Julie Friedman, Nilufar Izadpanah, Janet Pregler

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2018. 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. Proximity to coal-fired power plants and neurobehavioral symptoms in children.Journal of exposure science & environmental epidemiology · 2022
    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

10 authors.

Radhika RibleDepartment of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. rrible@mednet.ucla.edu.
Efren AguilarUCLA Center for Healthier Children, Families, and Communities, Los Angeles, CA, USA.
Angela ChenDepartment of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Joshua L BaderUCLA Center for Healthier Children, Families, and Communities, Los Angeles, CA, USA.
Leslie Goodyear-MoyaCulture and Linguistics Department, HealthNet, Glendale, CA, USA.
Karen Teekadai SinghIris Cantor-UCLA Women's Health Education and Research Center, Los Angeles, CA, USA.
Suzanne E PaulsonDepartment of Atmospheric and Oceanic Sciences, UCLA, Los Angeles, CA, USA.
Julie FriedmanIris Cantor-UCLA Women's Health Education and Research Center, Los Angeles, CA, USA.
Nilufar IzadpanahScripps Health, San Diego, CA, USA.
Janet PreglerDepartment of Internal Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Funding

David and Lucile Packard Foundation 2012-36941
6 · The paper itself

Abstract

Research has shown linkages between environmental exposures and population health metrics such as low birth weight and incidence of congenital anomalies. While the exact causal relationship between specific environmental teratogens and suspected corresponding congenital anomalies has largely not been established, spatial analysis of anomaly incidence can identify potential locations of increased risk. This study uses the Vital Statistics Birth Master File to map and analyze the rates of congenital anomalies of births from non-smoking mothers 15-35 years old within Los Angeles County. Hot spot analysis shows that the distribution of congenital anomalies is not randomly distributed throughout the county and identified the Antelope Valley and San Gabriel Foothills as two areas with elevated incidence rates. These results are not explained by potential confounders such as maternal age, race, smoking status, or socioeconomic status and seem to correlate well with the concentration of atmospheric ozone. This approach demonstrates the value of using spatial techniques to inform future research efforts and the need to establish and maintain a comprehensive reproductive health surveillance system.

Indexed as

Vital StatisticsAdolescentAdultCongenital AbnormalitiesEnvironmental ExposureEnvironmental MonitoringFemaleHumansLos AngelesMaleMothersRiskSpatial AnalysisYoung AdultCongenital anomaliesEnvironmental exposuresHealth surveillanceHot spot analysis

Identifiers

PMID29500732

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.