Evidence map›Paper›PMID 33638149›Full record

ArticleJournal of clinical psychology2021

Taxonomy and utility in the diagnostic classification of mental disorders.

Spencer C Evans, Michael C Roberts, Jessy Guler, Jared W Keeley, Geoffrey M Reed

Abstract read
In one paragraph

Article in Journal of clinical psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Maladaptive daydreaming should be included as a dissociative disorder in psychiatric manuals: position paper.The British journal of psychiatry : the journal of mental science · 2025
    Review
  2. How pharmacology can aid in the diagnosis of mental disorders.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  3. Article
  4. 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

5 authors.

Spencer C EvansDepartment of Psychology, University of Miami, Coral Gables, Florida, USA.ORCID 0000-0001-8644-817X
Michael C RobertsClinical Child Psychology Program, University of Kansas, Lawrence, Kansas, USA.
Jessy GulerClinical Child Psychology Program, University of Kansas, Lawrence, Kansas, USA.
Jared W KeeleyDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.
Geoffrey M ReedDepartment of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.

Funding

NIMH NIH HHS L30 MH120708NIMH NIH HHS Loan Repayment ProgramWorld Health Organization 001
6 · The paper itself

Abstract

objectiveOne strategy for improving the clinical utility of mental health diagnostic systems is to better align them with how clinicians conceptualize psychopathology in practice. This approach was used in International Classification of Diseases 11th Revision (ICD-11) development, but its underlying assumption-a link between taxonomic "fit" and clinical utility-remains untested.

methodsUsing data from global mental health clinician samples (combined N = 5404), we investigated the association between taxonomic fit and clinical utility in mental disorder categories.

resultsThe overall association between fit and utility was positive (r = 0.19) but statistically not different from zero (95% confidence interval [CI]: -0.06, 0.43) in this small sample (N = 39 ICD/DSM categories). However, a positive association became clear after correcting for outliers (r = 0.34 [0.05, 0.58] or higher). Further insights were apparent for specific diagnoses given their locations in the scatterplot.

conclusionsResults suggest a positive link between taxonomic fit and clinical utility in mental disorder diagnoses, highlighting future research directions.

Indexed as

International Classification of DiseasesMental DisordersDiagnostic and Statistical Manual of Mental DisordersHumansclassification systemsclinical utilitydiagnosisInternational Classification of Diseases 11th Revisiontaxonomy

Identifiers

PMID33638149
PMCPMC8387502

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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.