Evidence map›Paper›PMID 25454289›Full record

ArticleAnnals of epidemiology2015

Spatial analysis of gastroschisis in Massachusetts and Texas.

Mahsa M Yazdy, Martha M Werler, Marlene Anderka, Peter H Langlois, Veronica M Vieira

Open access · greenAbstract read
In one paragraph

Article in Annals of epidemiology, 2015. 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
1.5field-weighted citation impact, top 19% 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. Article
  4. Article
  5. Spatial analysis of gastroschisis in the National Birth Defects Prevention Study.Birth defects research. Part A, Clinical and molecular teratology · 2015
    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

5 authors at 4 institutions in 1 country.

Mahsa M YazdySlone Epidemiology Center at Boston University, Boston, MA. Electronic address: Mahsa.Yazdy@channing.harvard.edu.
Martha M WerlerSlone Epidemiology Center at Boston University, Boston, MA.
Marlene AnderkaMassachusetts Department of Public Health, Boston.
Peter H LangloisTexas Department of State Health Services, Austin.
Veronica M VieiraProgram in Public Health, University of California, Irvine.
Boston University · USMassachusetts Department of Public Health · USTexas Department of State Health Services · USUniversity of California, Irvine · US

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SHERR, DAVID H · 1995 to 2019
$46.1M
Massachusetts Center for Birth Defects Research and PreventionU01DD000493 · DD · MASSACHUSETTS STATE DEPT OF PUB HEALTH · PI ANDERKA, MARLENE, HOLMES, LEWIS B. · 2009 to 2013
$4.4M
Texas Center for Birth Defects Research and PreventionU01DD000494 · DD · TEXAS STATE DEPT OF HEALTH SERVICES · PI CANFIELD, MARK A · 2009 to 2013
$3.9M
NCBDD CDC HHS U01 DD000493NCBDD CDC HHS U01DD000493NCBDD CDC HHS U01 DD000494NCBDD CDC HHS U01DD000494NIEHS NIH HHS 2P42ES007381-16A1NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

purposePrevious research has suggested gastroschisis, a congenital malformation, may be linked to environmental or infectious factors and cases can occur in clusters. The objective of this study was to identify geographic areas of elevated gastroschisis risk.

methodsCases of gastroschisis were identified from birth defect registries in Massachusetts and Texas. Random samples of live births were selected as controls. Generalized additive models were used to create a continuous map surface of odds ratios (ORs) by smoothing over latitude and longitude. Maternal age, race/ethnicity, education, cigarette smoking, and insurance status (MA only) were assessed for confounding. We used permutation tests to identify statistically significant areas of increased risk.

resultsAn area of increased risk was identified in North Central Massachusetts but was not significant after adjustment (P value = .07; OR = 2.0). In Texas, two statistically significant areas of increased risk were identified after adjustment (P value = .02; OR = 1.3 and 1.2). Texas had sufficient data to assess the combination of space and time, which identified an increased risk in 2003 and 2004.

conclusionsThis study suggests there were areas of elevated gastroschisis risk in Massachusetts and Texas, which cannot be explained by the risk factors we assessed. Additional exploration of underlying artifactual, environmental, infectious, or behavioral factors may further our understanding of gastroschisis.

Indexed as

Population SurveillanceAdolescentAdultCase-Control StudiesEthnicityFemaleGastroschisisGeographic Information SystemsHumansInfant, NewbornMaleMassachusettsMaternal AgeModels, StatisticalOdds RatioPregnancyCongenital abnormalitiesGastroschisisSpatial analysisSpatio-temporal analysis

Identifiers

PMID25454289
PMCPMC4255145
OpenAlexW1979986835

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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.