Evidence map›Paper›PMID 25761572›Full record

ArticleBirth defects research. Part A, Clinical and molecular teratology2015

Methods for surveillance of fetal alcohol syndrome: The Fetal Alcohol Syndrome Surveillance Network II (FASSNetII) - Arizona, Colorado, New York, 2009 - 2014.

Leslie A O'Leary, Linnette Ortiz, April Montgomery, Deborah J Fox, Christopher Cunniff, Margaret Ruttenber, April Breen, Sydney Pettygrove, Don Klumb, Charlotte Druschel and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Birth defects research. Part A, Clinical and molecular teratology, 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
2.9field-weighted citation impact, top 9% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Substance Use in the Perinatal Period.Current psychiatry reports · 2015
    Review
  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

18 authors at 8 institutions in 1 country.

Leslie A O'LearyCenters for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, Atlanta, Georgia.
Linnette Ortiz
April Montgomery
Deborah J Fox
Christopher Cunniff
Margaret Ruttenber
April Breen
Sydney Pettygrove
Don Klumb
Charlotte Druschel
Jaime L Frías
Luther K Robinson
Jacquelyn Bertrand
Kelly Ferrara
Maureen Kelly
Suzanne M Gilboa
F John Meaney
FASSNetII
University of Arizona · USNational Center on Birth Defects and Developmental Disabilities · USColorado Department of Public Health and Environment · USNew York State Department of State · USCenters for Disease Control and Prevention · USNew York State Department of Health · USThe Centers · USWomen & Children's Hospital of Buffalo · US

Funding

Intramural CDC HHS CC999999NCBDD CDC HHS DD09-910
6 · The paper itself

Abstract

Surveillance of fetal alcohol syndrome (FAS) is important for monitoring the effects of prenatal alcohol exposure and describing the public health burden of this preventable disorder. Building on the infrastructure of the Fetal Alcohol Syndrome Surveillance Network (FASSNet, 1997-2002), in 2009 the Centers for Disease Control and Prevention awarded 5-year cooperative agreements to three states, Arizona, Colorado, and New York, to conduct population-based surveillance of FAS. The Fetal Alcohol Syndrome Surveillance Network II (FASSNetII, 2009-2014) developed a surveillance case definition based on three clinical criteria: characteristic facial features, central nervous system abnormalities, and growth deficiency. FASSNetII modified the FASSNet methods in three important ways: (1) estimation of a period prevalence rather than birth prevalence; (2) surveillance of FAS among school-age children (ages 7-9 years) to better document the central nervous system abnormalities that are not apparent at birth or during infancy; and (3) implementation of an expert clinical review of abstracted data for probable and confirmed cases classified through a computerized algorithm. FASSNetII abstracted data from multiple sources including birth records, medical records from child development centers or other specialty clinics, and administrative databases such as hospital discharge and Medicaid. One challenge of FASSNetII was its limited access to non-medical records. The FAS prevalence that could be estimated was that of the population identified through an encounter with the healthcare system. Clinical and public health programs that identify children affected by FAS provide critical information for targeting preventive, medical and educational services in this vulnerable population.

Indexed as

Epidemiological MonitoringCenters for Disease Control and Prevention, U.S.ChildChild, PreschoolCommunity NetworksFemaleFetal Alcohol Spectrum DisordersHumansMaleRetrospective StudiesUnited Statesbirth defectsclinical reviewdevelopmental disabilitiesfetal alcohol syndromepopulation-based surveillance

Identifiers

PMID25761572
PMCPMC4484746
OpenAlexW1932459116

What OpenQuestion holds

Textmetadata
LicenceTDM
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.