Statistical sensitivity analysis for the estimation of fetal alcohol spectrum disorders prevalence.

Ronghui Xu, Gordon Honerkamp-Smith, Christina D Chambers

Open access · greenAbstract read

In one paragraph

Article in Reproductive toxicology (Elmsford, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

1.8field-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

1 citing paper in PubMed, 7 citations in OpenAlex.

Fetal Alcohol Spectrum Disorders in a Pacific Southwest City: Maternal and Child Characteristics.Alcoholism, clinical and experimental research · 2019
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

3 authors at 1 institution in 1 country.

Ronghui XuDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, United States; Department of Mathematics, University of California, San Diego, La Jolla, CA, United States. Electronic address: rxu@ucsd.edu.

Gordon Honerkamp-SmithDepartment of Pediatrics, University of California, San Diego, La Jolla, CA, United States.

Christina D ChambersDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, United States; Department of Pediatrics, University of California, San Diego, La Jolla, CA, United States.

University of California, San Diego · US

Funding

Collaboration to Establish the Prevalence of FASD in San Diego, CAU01AA019879 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAMBERS, CHRISTINA · 2010 to 2017

$9.2M

NIAAA NIH HHS U01 AA019879

6 · The paper itself

Abstract

Fetal alcohol spectrum disorders (FASD) are thought to be the leading cause of developmental disabilities worldwide. Accurate estimates of the prevalence of FASD have been lacking. An improved estimate of FASD prevalence in the U.S. was recently reported in a study where multistage methods of active case ascertainment of first-grade children with FASD were utilized in four regions in the U.S. Each method relied on parental consent and therefore had potential non-response bias. We consider weighted approaches, where the weights were formed using the distribution of observed variables in the population from which the samples were drawn. However, there are likely other unobserved variables that affect both non-response and FASD outcome. We describe sensitivity analyses using methodology developed for causal inference. The results show feasible regions of FASD prevalence under certain assumptions, and provide a framework for explaining the non-response bias due to the unobserved variables.

Indexed as

Alcohol DrinkingChildFemaleFetal Alcohol Spectrum DisordersHumansMaternal-Fetal ExchangePregnancyPrevalenceResearch DesignCausal inferenceFeasible lower boundInverse probability weightingNon-responseSampling biasUnobserved confounding

Identifiers

PMID30959091

DOI10.1016/j.reprotox.2019.04.002

PMCPMC6561731

OpenAlexW2927504209

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.