Evidence map›Paper›PMID 18381539›Full record

ArticlePediatrics2008

Volumetric MRI study of brain in children with intrauterine exposure to cocaine, alcohol, tobacco, and marijuana.

Michael J Rivkin, Peter E Davis, Jennifer L Lemaster, Howard J Cabral, Simon K Warfield, Robert V Mulkern, Caroline D Robson, Ruth Rose-Jacobs, Deborah A Frank

Open access · greenAbstract readComparative Study
In one paragraph

Article in Pediatrics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
22.9field-weighted citation impact, top 1% 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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.

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21 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Michael J RivkinDevelopmental Neuroimaging Laboratory, Department of Neurology, Childrens Hospital Boston and Harvard Medical School, Pavilion 154, 300 Longwood Ave, Boston, MA 02115, USA. michael.rivkin@childrens.harvard.edu
Peter E Davis
Jennifer L Lemaster
Howard J Cabral
Simon K Warfield
Robert V Mulkern
Caroline D Robson
Ruth Rose-Jacobs
Deborah A Frank
Boston University · USBoston Children's Hospital · US

Funding

SYNAPTIC MECHANISMS IN HIPPOCAMPAL EPILEPTOGENESISP30HD018655 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI POMEROY, SCOTT LOREN · 1985 to 2015
$26.2M
Prenatal Cocaine Exposure: Young Adult Follow UpR01DA006532 · NIDA · BOSTON MEDICAL CENTER · PI FRANK, DEBORAH A, LIEBSCHUTZ, JANE M · 1990 to 2014
$12.4M
Bioinformatics Software for MRI of Brain DevelopmentR01RR021885 · NCRR · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2006 to 2009
$1.6M
Bioinformatics Tools for Multi-Center Diagnostic TrialsR01GM074068 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI WARFIELD, SIMON K · 2006 to 2008
$666k
NCRR NIH HHS R01 RR021885NICHD NIH HHS HD018655NICHD NIH HHS P30 HD018655NIDA NIH HHS R01 DA006532NIDA NIH HHS R01 DA06532NIGMS NIH HHS R01 GM074068
6 · The paper itself

Abstract

objectiveThe objective of this study was to use volumetric MRI to study brain volumes in 10- to 14-year-old children with and without intrauterine exposure to cocaine, alcohol, cigarettes, or marijuana.

methodsVolumetric MRI was performed on 35 children (mean age: 12.3 years; 14 with intrauterine exposure to cocaine, 21 with no intrauterine exposure to cocaine) to determine the effect of prenatal drug exposure on volumes of cortical gray matter; white matter; subcortical gray matter; cerebrospinal fluid; and total parenchymal volume. Head circumference was also obtained. Analyses of each individual substance were adjusted for demographic characteristics and the remaining 3 prenatal substance exposures.

resultsRegression analyses adjusted for demographic characteristics showed that children with intrauterine exposure to cocaine had lower mean cortical gray matter and total parenchymal volumes and smaller mean head circumference than comparison children. After adjustment for other prenatal exposures, these volumes remained smaller but lost statistical significance. Similar analyses conducted for prenatal ethanol exposure adjusted for demographics showed significant reduction in mean cortical gray matter; total parenchymal volumes; and head circumference, which remained smaller but lost statistical significance after adjustment for the remaining 3 exposures. Notably, prenatal cigarette exposure was associated with significant reductions in cortical gray matter and total parenchymal volumes and head circumference after adjustment for demographics that retained marginal significance after adjustment for the other 3 exposures. Finally, as the number of exposures to prenatal substances grew, cortical gray matter and total parenchymal volumes and head circumference declined significantly with smallest measures found among children exposed to all 4. CONCLUSIONS; These data suggest that intrauterine exposures to cocaine, alcohol, and cigarettes are individually related to reduced head circumference; cortical gray matter; and total parenchymal volumes as measured by MRI at school age. Adjustment for other substance exposures precludes determination of statistically significant individual substance effect on brain volume in this small sample; however, these substances may act cumulatively during gestation to exert lasting effects on brain size and volume.

Indexed as

Magnetic Resonance ImagingAdolescentAge DistributionAlcoholismBrain DiseasesCase-Control StudiesChildCocaine-Related DisordersDevelopmental DisabilitiesFemaleHumansIncidenceLinear ModelsMaleMarijuana AbuseMaternal Exposure

Identifiers

PMID18381539
PMCPMC2562785
OpenAlexW2091765352

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.