Evidence mapPaperPMID 40817031Full record

ArticleJournal of sleep research2026

Age at Onset and Delays in Diagnosis of Central Disorders of Hypersomnolence Over the Past 30 Years.

Zhongxing Zhang, Lucie Barateau, Séverine Béziat, Ramin Khatami, Yves Dauvilliers

Abstract read
In one paragraph

Article in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Zhongxing ZhangCenter for Sleep Medicine, Sleep Research and Epileptology, Barmelweid, Switzerland.
Lucie BarateauSleep-Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU, Montpellier, France.ORCID https://orcid.org/0000-0002-6620-5127
Séverine BéziatInstitute of Neurosciences of Montpellier, University of Montpellier, INSERM, Montpellier, France.
Ramin KhatamiCenter for Sleep Medicine, Sleep Research and Epileptology, Barmelweid, Switzerland.
Yves DauvilliersSleep-Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with narcolepsy type 1 (NT1), type 2 (NT2), idiopathic hypersomnia (IH) usually suffer from symptoms for years, even decades, before being diagnosed. We aimed to assess age at onset, age at diagnosis and changes in the diagnostic delays of these patients from 1990 to 2020 in a single centre. Age at onset, age at diagnosis and diagnostic delays of patients with NT1, NT2 and IH were collected at the Reference Narcolepsy Centre, Montpellier-France. Age at onset for each disorder was categorised into three life periods (< 18, 18-25, > 25 years). Diagnostic delays were compared among disorders, taking into account sex, different life periods and time periods. NT1 was diagnosed in 415 patients (242 males), NT2 in 127 patients (68 males) and IH in 289 patients (75 males). Age at onset was not different between disorders (peak between 10 and 20 years in NT1, and 15-20 in IH and NT2). NT1 patients had the shortest diagnostic delays compared to NT2 and IH (median 4, 5 and 8 years respectively). Diagnostic delay is getting shorter in NT1 and IH over the last decades. In patients who started symptoms in childhood, diagnostic delays were the shortest in NT1 and the longest in IH. No sex difference in diagnostic delays was found in NT1 and NT2, but IH females had shorter delays than males. In conclusion, patients with NT1 and IH are diagnosed earlier nowadays compared to the 2000s. Increased public awareness and education efforts should be made to increase knowledge of the diseases and to early identify excessive daytime sleepiness.

Indexed as

Delayed DiagnosisDisorders of Excessive SomnolenceIdiopathic HypersomniaNarcolepsyAdolescentAdultAge of OnsetChildFemaleFranceHumansMaleMiddle AgedYoung Adultage at onsetdiagnostic delayidiopathic hypersomnianarcolepsynarcolepsy type 2orexin/hypocretin

Identifiers

PMID40817031
PMCPMC13003295

What Socratic holds

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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 Socratic graph.