Evidence map›Paper›PMID 31886408›Full record

ArticleAdvances in pediatric research2019

Comparison of the 4-Digit Code, Canadian 2015, Australian 2016 and Hoyme 2016 fetal alcohol spectrum disorder diagnostic guidelines.

Susan J Astley Hemingway, Julia M Bledsoe, Allison Brooks, Julian K Davies, Tracy Jirikowic, Erin Olson, John C Thorne

Open access · diamondAbstract read
In one paragraph

Article in Advances in pediatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  10. Fetal alcohol spectrum disorders.Nature reviews. Disease primers · 2023
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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 at 2 institutions in 1 country.

Susan J Astley HemingwayDepartment of Epidemiology, University of Washington, Seattle, USA.
Julia M BledsoeDepartment of Pediatrics, University of Washington, Seattle, USA.
Allison BrooksDepartment of Epidemiology, University of Washington, Seattle, USA.
Julian K DaviesDepartment of Pediatrics, University of Washington, Seattle, USA.
Tracy JirikowicDepartment of Rehabilitation Medicine, University of Washington, Seattle, USA.
Erin OlsonDepartment of Education, University of Washington, Seattle, USA.
John C ThorneDepartment of Speech and Hearing, University of Washington, Seattle, USA.
University of Washington · USSeattle University · US

Funding

Restoring FMRP Phenotypes Frpm Temporal Regional and Splice- Isoforms VarationsP30HD002274 · NICHD · UNIVERSITY OF WASHINGTON · PI BURBACHER, THOMAS M · 1985 to 2013
$33.6M
MRI/S in Children with Prenatal Alcoholic ExposureR01AA012915 · NIAAA · UNIVERSITY OF WASHINGTON · PI ASTLEY, SUSAN J · 2002 to 2004
$993k
NIAAA NIH HHS R01 AA012915NICHD NIH HHS P30 HD002274
6 · The paper itself

Abstract

backgroundAs clinicians strive to achieve consensus worldwide on how best to diagnose fetal alcohol spectrum disorders (FASD), the most recent FASD diagnostic systems show convergence and divergence. Applying these systems to a single clinical population illustrates the contrasts between them, but validation studies are ultimately required to identify the best system.

methodsThe 4-Digit-Code, Hoyme 2016, Canadian 2015 and Australian 2016 FASD diagnostic systems were applied to 1,392 patient records evaluated for FASD at the University of Washington. The diagnostic criteria and tools, the prevalence and concordance of diagnostic outcomes, and validity measures were compared between the systems.

resultsThe proportion diagnosed with fetal alcohol syndrome (FAS) and FASD varied significantly (4-Digit-Code 2.1%, ≤79%; Hoyme 6.4%, 44%, Australian 1.8%, 29%; Canadian 1.8%, 16%). Eighty-two percent were diagnosed FASD by at least one system; only 11% by all four systems. Key factors contributing to discordance include: requiring high alcohol exposure; excluding growth deficiency; relaxing the facial criteria; requiring brain criteria that prevent diagnosis of infants/toddlers; and excluding moderate dysfunction from the spectrum. Primate research confirms moderate dysfunction (1-2 domains ≤-2 standard deviations) is the most prevalent outcome caused by PAE (FAS 5%, severe dysfunction 31%, moderate dysfunction 59%). Only the 4-Digit-Code replicated this diagnostic pattern.

conclusionThe needs of individuals with FASD are best met when diagnostic systems provide accurate, validated diagnoses across the lifespan, the full spectrum of outcome, the full continuum of alcohol exposure; and utilize diagnostic nomenclature that accurately reflects the association between outcome and alcohol exposure.

Identifiers

PMID31886408
PMCPMC6934106
OpenAlexW2984791687

What OpenQuestion holds

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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.