Evidence map›Paper›PMID 24591358›Full record

ArticleBirth defects research. Part A, Clinical and molecular teratology2014

Exploring the feasibility of using electronic health records in the surveillance of fetal alcohol syndrome.

Craig Hansen, Marvin Adams, Deborah J Fox, Leslie A O'Leary, Jaime L Frías, Heather Freiman, F John Meaney

Abstract read
In one paragraph

Article in Birth defects research. Part A, Clinical and molecular teratology, 2014. 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

7 authors.

Craig HansenCenter for Health Research, Kaiser Permanente Georgia, Atlanta, Georgia.
Marvin Adams
Deborah J Fox
Leslie A O'Leary
Jaime L Frías
Heather Freiman
F John Meaney

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundExplore the use of electronic health records (EHRs) in fetal alcohol syndrome (FAS) surveillance systems.

methodsUsing EHRs we identified diagnoses and anthropometric measurements related to the FAS criteria developed by the Fetal Alcohol Syndrome Surveillance Network (FASSNet) among children aged 0 to 12 years.

resultsThere were 143,393 distinct children aged between 0 and 12 years enrolled in Kaiser Permanente, Georgia, during the study period. Based on diagnoses and anthropometric measurements, 20,101 children met at least one criterion of interest, and when grouped into combinations of different criteria there were 2285 who met GROWTH+CNS criteria, 76 children who met GROWTH+FACE criteria, 107 children who met CNS+FACE criteria, and 93 children who met GROWTH+CNS+FACE criteria. The prevalence of FAS as defined by FASSNet is 1.92 per 1000 children. We linked 17,084 (85.0%) children to their mothers in the health plan; only 3% of mothers of children in the GROWTH+CNS+FACE group had an indication of alcohol or drugs use, but they had the highest rate of depression (39%).

conclusionData of utility in identification of FAS are readily available in EHRs and may serve as a basis for intervention with at-risk children and in planning of future FAS surveillance programs.

Indexed as

ChildChild, PreschoolDatabases, FactualDepressionElectronic Health RecordsEpidemiological MonitoringFemaleFetal Alcohol Spectrum DisordersGeorgiaHumansInfantInfant, NewbornMaleMothersPregnancyPrevalenceelectronic health recordsfetal alcohol syndromesurveillance

Identifiers

PMID24591358
PMCPMC4601899

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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.