To split or to lump? Classifying the central disorders of hypersomnolence: sleep split requires epistemological tools and systematic data-driven conceptual analysis.

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.

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.

Who cites it

4 citing papers in PubMed.

1. Investigation of the "Not Better Explained" Diagnosis Criteria in Sleep Disorder Classifications: A Systematic Content Analysis and Critical Review.Journal of sleep research · 2026
   Review
2. Idiopathic Hypersomnia: Neurobiology, Diagnosis, and Management.CNS drugs · 2023
   Review
3. Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering.Neurology · 2022
   Observational
4. Clinical physiology of circadian rhythms: A systematic and hierarchized content analysis of circadian questionnaires.International journal of clinical and health psychology : IJCHP
   Article

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  To split or to lump? Classifying the central disorders of hypersomnolence.2020

Authors and funding

3 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

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