Evidence map›Paper›PMID 37742001›Full record

ArticleBMC geriatrics2023

Remote evaluation of sleep to enhance understanding of early dementia due to Alzheimer's Disease (RESTED-AD): an observational cohort study protocol.

Jonathan Blackman, Hamish Duncan Morrison, Victoria Gabb, Bijetri Biswas, Haoxuan Li, Nicholas Turner, Amy Jolly, William Trender, Adam Hampshire, Alan Whone and 1 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Are infraslow oscillations the missing link between sleep and Alzheimer's?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
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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

11 authors at 3 institutions in 1 country.

Jonathan Blackman *Bristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK.
Hamish Duncan Morrison *Bristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK.
Victoria GabbBristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK.
Bijetri BiswasBristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK.
Haoxuan LiBristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK.
Nicholas TurnerBristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK.
Amy JollyFaculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
William TrenderFaculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Adam HampshireFaculty of Medicine, Imperial College London, London, SW7 2AZ, UK.
Alan WhoneBristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB, UK.
Elizabeth CoulthardBristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK. elizabeth.coulthard@bristol.ac.uk.
North Bristol NHS Trust · GBImperial College London · GBUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep and circadian rhythm disorders are well recognised in both AD (Alzheimer's Disease) dementia and MCI-AD (Mild Cognitive Impairment due to Alzheimer's Disease). Such abnormalities include insomnia, excessive daytime sleepiness, decreased sleep efficiency, increased sleep fragmentation and sundowning. Enhancing understanding of sleep abnormalities may unveil targets for intervention in sleep, a promising approach given hypotheses that sleep disorders may exacerbate AD pathological progression and represent a contributory factor toward impaired cognitive performance and worse quality of life. This may also permit early diagnosis of AD pathology, widely acknowledged as a pre-requisite for future disease-modifying therapies. This study aims to bridge the divide between in-laboratory polysomnographic studies which allow for rich characterisation of sleep but in an unnatural setting, and naturalistic studies typically approximating sleep through use of non-EEG wearable devices. It is also designed to record sleep patterns over a 2 month duration sufficient to capture both infradian rhythm and compensatory responses following suboptimal sleep. Finally, it harnesses an extensively phenotyped population including with AD blood biomarkers. Its principal aims are to improve characterisation of sleep and biological rhythms in individuals with AD, particularly focusing on micro-architectural measures of sleep, compensatory responses to suboptimal sleep and the relationship between sleep parameters, biological rhythms and cognitive performance. METHODS/

designThis observational cohort study has two arms (AD-MCI / mild AD dementia and aged-matched healthy adults). Each participant undergoes a baseline visit for collection of demographic, physiological and neuropsychological information utilising validated questionnaires. The main study period involves 7 nights of home-based multi-channel EEG sleep recording nested within an 8-week study period involving continuous wrist-worn actigraphy, sleep diaries and regular brief cognitive tests. Measurement of sleep parameters will be at home thereby obtaining a real-world, naturalistic dataset. Cognitive testing will be repeated at 6 months to stratify participants by longitudinal disease progression. DISCUSSION: This study will generate new insights particularly in micro-architectural measures of sleep, circadian patterns and compensatory sleep responses in a population with and without AD neurodegenerative change. It aims to enhance standards of remotely based sleep research through use of a well-phenotyped population and advanced sleep measurement technology.

Indexed as

Alzheimer DiseaseDementiaAgedCohort StudiesHumansObservational Studies as TopicQuality of LifeSleepADAlzheimer’s diseaseCircadianDementiaEEGInfradianMCIMild cognitive impairmentSleep

Identifiers

PMID37742001
PMCPMC10518099
OpenAlexW4386987534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.