Evidence map›Paper›PMID 39862150›Full record

ReviewJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2025

Clinical significance criteria in the ICSD and DSM sleep disorder classifications: a content overlap analysis using the Jaccard index.

Christophe Gauld, Vincent P Martin, Clélia Quilès, Pierre-Alexis Geoffroy, Julien Coelho, Pierre Philip, Régis Lopez, Jean-Arthur Micoulaud-Franchi

Abstract readReview
In one paragraph

Review in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Christophe GauldDepartment of Child and Adolescent Psychopathology, Hospices Civils de Lyon, Lyon, France.
Vincent P MartinDeep Digital Phenotyping Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Clélia QuilèsUniversité de Bordeaux, Institut National de la Santé et de la Recherche Médicale, Bordeaux Population Health Research Center, Team Pharmacoepidemiology, Unité Mixte de Recherche 1219, Bordeaux, France.
Pierre-Alexis GeoffroyDépartement de Psychiatrie et d'Addictologie, Assistance Publique des Hôpitaux de Paris, Groupe Hospitalier Universitaire Paris Nord, Département Médico-Universitaire Neurosciences, Hopital Bichat - Claude Bernard, Paris, France.
Julien CoelhoUniversité de Bordeaux, Centre National de la Recherche Scientifique, SANPSY, Unité Mixte de Recherche 6033, Bordeaux, France.
Pierre PhilipUniversité de Bordeaux, Centre National de la Recherche Scientifique, SANPSY, Unité Mixte de Recherche 6033, Bordeaux, France.
Régis LopezInstitut des Neurosciences de Montpellier, University Montpellier, Montpellier, France.
Jean-Arthur Micoulaud-FranchiUniversité de Bordeaux, Centre National de la Recherche Scientifique, SANPSY, Unité Mixte de Recherche 6033, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesBoth the

methodsThis review conducts a theoretical and historical content analysis of CSC presence, frequency, and formulation in the diagnostic criteria of sleep disorders. Three steps were undertaken: (1) selecting main sleep disorder classifications and main disorders within them, (2) systematically extracting CSC-related content, and (3) analyzing the evolution of CSC presence through quantification (Jaccard index) and visualization (radar plots).

resultsThe fifth edition, text revision of the DSM (DSM-5-TR) includes CSC in 5 of 9 main sleep disorders, compared to 2 in the third edition, text revision of the ICSD (ICSD-3-TR) (circadian rhythm sleep-wake disorder and nightmare disorder). The overlap between DSM-5-TR and ICSD-3-TR is moderate (Jaccard index = 0.40). The overlap between DSM versions is higher (0.53). Conversely, ICSD revisions exhibit minimal similarity (0.16). Radar plots reveal a gradual increase in CSC use within ICSD versions.

conclusionsThese results highlight the variable application of CSC in sleep disorder classifications. Universal CSC inclusion may not be essential, but systematic discussion of its potential use can help refine diagnostic criteria. This refinement is important for accurately diagnosing sleep disorders and better differentiating the normal from the pathological, a major challenge in sleep medicine. CITATION: Gauld C, Martin VP, Quilès C, et al. Clinical significance criteria in the ICSD and DSM sleep disorder classifications: a content overlap analysis using the Jaccard index.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersInternational Classification of DiseasesSleep Wake DisordersClinical RelevanceHumansReproducibility of Resultsdiagnosisdistresssleep disorderssleep healthsleep-wake classification

Identifiers

PMID39862150
PMCPMC12134593

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.