Evidence map›Paper›PMID 39572256›Full record

ReviewAlcohol, clinical & experimental research2025

Comparing rates of agreement between different diagnostic criteria for fetal alcohol spectrum disorder: A systematic review.

Graysen Myers, Michael Burd, Marilyn G Klug, Svetlana Popova, Larry Burd

Abstract readReview
In one paragraph

Review in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Graysen MyersUniversity of North Dakota School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.ORCID https://orcid.org/0000-0001-7155-5394
Michael BurdUniversity of North Dakota School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Marilyn G KlugUniversity of North Dakota School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Svetlana PopovaCentre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-6308-1157
Larry BurdUniversity of North Dakota School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.ORCID https://orcid.org/0000-0001-7199-2711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic accuracy is important in systems used to diagnose common disorders such as Fetal Alcohol Spectrum Disorder (FASD). Currently, no comprehensive study has examined rates of agreement between different diagnostic criteria for FASD. This study estimates the likelihood that a diagnosis of FASD using one set of diagnostic criteria will result in the same diagnosis when compared to different diagnostic criteria. A systematic review was conducted to identify articles reporting on the comparison of two or more diagnostic criteria for a diagnosis of FASD. Inclusion criteria required that the study present data that estimated agreement for a diagnosis of FASD or no-FASD between two or more FASD criteria using two-by-two tables or presented data that could be used to generate the tables. Meta-analyses with confidence intervals were included to demonstrate variability in the estimates. Standardized measures of agreement were assessed using the kappa statistic with 95% confidence intervals and the phi coefficient as a measure of correlation between binary outcomes. The search identified six studies reporting on eight different FASD diagnostic criteria. The studies compared agreement between 17 different pairings of the criteria. For individual children, agreement ranged from 53.7% to 91%. The agreement between the eight different diagnostic criteria ranged from 59.4% to 89.5%. The kappa statistic found that five associations had a kappa ranging from 0.6 to 0.8. This study illustrates that comparisons of multiple pairs of diagnostic criteria are likely to result in considerable variation in diagnoses of FASD for individual children and between different criteria. The lack of agreement between these commonly used systems is likely to affect clinical care and studies where diagnosis is a key variable. Large-scale multicenter research is needed to examine factors contributing to variation in diagnostic outcomes.

Indexed as

agreementdiagnosisdiagnostic criteriafetal alcohol spectrum disorderfetal alcohol syndrome

Identifiers

PMID39572256
PMCPMC11740172

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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.