Evidence map›Paper›PMID 26496796›Full record

ArticleAlcohol (Fayetteville, N.Y.)2015

Computed tomography assessment of peripubertal craniofacial morphology in a sheep model of binge alcohol drinking in the first trimester.

Sharla M Birch, Mark W Lenox, Joe N Kornegay, Li Shen, Huisi Ai, Xiaowei Ren, Charles R Goodlett, Tim A Cudd, Shannon E Washburn

Open access · greenAbstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2015. 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
1.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Sleep in Infants and Children with Prenatal Alcohol Exposure.Alcoholism, clinical and experimental research · 2018
    Review
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

9 authors at 4 institutions in 1 country.

Sharla M BirchDepartment of Veterinary Pathobiology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA.
Mark W LenoxTexas A&M Institute for Preclinical Studies (TIPS), Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA.
Joe N KornegayDepartment of Veterinary Pathobiology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA; Texas A&M Institute for Preclinical Studies (TIPS), Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA; Department of Veterinary Integrative Biosciences, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA.
Li ShenDepartment of Radiology and Imaging Sciences, IU School of Medicine, Indianapolis, IN 46202, USA; Stark Neurosciences Research Institute, IU School of Medicine, Indianapolis, IN 46202, USA.
Huisi AiDepartment of Radiology and Imaging Sciences, IU School of Medicine, Indianapolis, IN 46202, USA.
Xiaowei RenDepartment of Radiology and Imaging Sciences, IU School of Medicine, Indianapolis, IN 46202, USA; Department of Biostatistics, IU School of Medicine, Indianapolis, IN 46202, USA.
Charles R GoodlettStark Neurosciences Research Institute, IU School of Medicine, Indianapolis, IN 46202, USA; Department of Psychology, Indiana University Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA.
Tim A CuddDepartment of Physiology and Pharmacology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA.
Shannon E WashburnDepartment of Physiology and Pharmacology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX 77843, USA. Electronic address: swashburn@cvm.tamu.edu.
Texas A&M University · USIndiana University School of MedicineNeurosciences Institute · USUniversity of Indianapolis · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Comparative Biomedical Research Training for VeterinariansT32OD011083 · OD · TEXAS A&M AGRILIFE RESEARCH · PI ALBERT MULENGA · 2012 to 2026
$4.8M
Translational Studies of FASD Using a Sheep Model-U01U01AA017120 · NIAAA · TEXAS A&M AGRILIFE RESEARCH · PI WASHBURN, SHANNON E. · 2007 to 2011
$1.3M
Mechanisms and Nutritional Intervention for Fetal Alcohol Spectrum DisordersK08AA018166 · NIAAA · TEXAS A&M AGRILIFE RESEARCH · PI WASHBURN, SHANNON E. · 2010 to 2012
$264k
NCATS NIH HHS UL1 TR001108NIAAA NIH HHS AA017120NIAAA NIH HHS AA18166-2NIAAA NIH HHS K08 AA018166NIAAA NIH HHS U01 AA017120NIH HHS T32 OD011083
6 · The paper itself

Abstract

Identification of facial dysmorphology is essential for the diagnosis of fetal alcohol syndrome (FAS); however, most children with fetal alcohol spectrum disorders (FASD) do not meet the dysmorphology criterion. Additional objective indicators are needed to help identify the broader spectrum of children affected by prenatal alcohol exposure. Computed tomography (CT) was used in a sheep model of prenatal binge alcohol exposure to test the hypothesis that quantitative measures of craniofacial bone volumes and linear distances could identify alcohol-exposed lambs. Pregnant sheep were randomly assigned to four groups: heavy binge alcohol, 2.5 g/kg/day (HBA); binge alcohol, 1.75 g/kg/day (BA); saline control (SC); and normal control (NC). Intravenous alcohol (BA; HBA) or saline (SC) infusions were given three consecutive days per week from gestation day 4-41, and a CT scan was performed on postnatal day 182. The volumes of eight skull bones, cranial circumference, and 19 linear measures of the face and skull were compared among treatment groups. Lambs from both alcohol groups showed significant reduction in seven of the eight skull bones and total skull bone volume, as well as cranial circumference. Alcohol exposure also decreased four of the 19 craniofacial measures. Discriminant analysis showed that alcohol-exposed and control lambs could be classified with high accuracy based on total skull bone volume, frontal, parietal, or mandibular bone volumes, cranial circumference, or interorbital distance. Total skull volume was significantly more sensitive than cranial circumference in identifying the alcohol-exposed lambs when alcohol-exposed lambs were classified using the typical FAS diagnostic cutoff of ≤10th percentile. This first demonstration of the usefulness of CT-derived craniofacial measures in a sheep model of FASD following binge-like alcohol exposure during the first trimester suggests that volumetric measurement of cranial bones may be a novel biomarker for binge alcohol exposure during the first trimester to help identify non-dysmorphic children with FASD.

Indexed as

SheepAnimalsBinge DrinkingBody WeightCentral Nervous System DepressantsCraniofacial AbnormalitiesEthanolFemaleFetal Alcohol Spectrum DisordersInfusions, IntravenousPregnancySheep, DomesticSkullTomography, X-Ray ComputedCentral Nervous System DepressantsEthanolAnthropometryComputed tomographyDiagnosisFacial dysmorphologyFASDPrenatal alcohol

Identifiers

PMID26496796
PMCPMC4636442
OpenAlexW2177995242

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.