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Guidelines for the Multiple Sleep Latency Test (MSLT): A Standard Measure of Sleepiness
Abstract
The multiple sleep latency test (MSLT) is used in the assessment and diagnosis of disorders of excessive somnolence and to evaluate daytime sleepiness in relation to various therapeutic or experimental manipulations, such as administering drugs and altering the length of timing of nocturnal sleep. The repeated measurement of sleep latency across a day provides direct access to the diurnal fraction of the sleep/wake interaction, which is of fundamental concern to the sleep specialist. Objective laboratory documentation of the clinical symptoms of slepiness well as abnormal sleep structure has greatly facilitated the diagnosis of narcolepsy, in particular, and has also been useful to determine the severity of somnolence and therapeutic response in other disorders. At the current level of clinical experience, a diagnosis of narcolepsy or other disorders of excessive somnolence usually has lifelong consequences for the patients, for example, chronic chemotherapy with psychoactive compounds, legal proscription from driving, or surgery. It therefore is incumbent upon the clinical sleep specialist to achieve as much diagnostic precision as possible. The MSLT greatly enhances the accurate diagnosis of disorders of excessive somnolence.
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Metadata
- Authors
- Carskadon, M. A.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-12
- Volume
- 9
- Issue
- 4
- Pages
- 519-524
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W2409487943
- Cited by
- 1,603
- References
- 1
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.