Evidence map›Paper›PMID 29426299›Full record

Observational studyBMC geriatrics2018

The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population.

Daniel Davis, Sarah Richardson, Joanne Hornby, Helen Bowden, Katrin Hoffmann, Maryse Weston-Clarke, Fenella Green, Nishi Chaturvedi, Alun Hughes, Diana Kuh and 8 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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  11. The Dementias Platform UK (DPUK) Data Portal.European journal of epidemiology · 2020
    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

18 authors at 8 institutions in 1 country.

Daniel DavisMRC Unit for Lifelong Health and Ageing at UCL, London, UK. daniel.davis@ucl.ac.uk.ORCID 0000-0002-1560-1955
Sarah RichardsonNewcastle University, Newcastle upon Tyne, UK.
Joanne HornbyMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Helen BowdenMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Katrin HoffmannMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Maryse Weston-ClarkeMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Fenella GreenMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Alun HughesMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Elizabeth SampsonDivision of Psychiatry, UCL, London, UK.
Ruth MizoguchiRoyal Free London NHS Foundation Trust, London, UK.
Khai Lee CheahRoyal Free London NHS Foundation Trust, London, UK.
Melanie RomainRoyal Free London NHS Foundation Trust, London, UK.
Abhi SinhaRoyal Free London NHS Foundation Trust, London, UK.
Rodric JenkinWye Valley NHS Trust, Hereford, UK.
Carol BrayneUniversity of Cambridge, Cambridge, UK.
Alasdair MacLullichUniversity of Edinburgh, Edinburgh, UK.
MRC Unit for Lifelong Health and Ageing · GBRoyal Free London NHS Foundation Trust · GBNewcastle University · GBUniversity College London · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity of Cambridge · GBUniversity of Edinburgh · GBWye Valley NHS Trust · GB

Funding

Department of Health 11/143/01Marie Curie MCCC-FCO-11-UMedical Research Council G108/646Medical Research Council MC_UU_12019/1Medical Research Council MR/L023210/1Wellcome Trust 107467/Z/15/ZWellcome Trust WT107467
6 · The paper itself

Abstract

backgroundDelirium affects 25% of older inpatients and is associated with long-term cognitive impairment and future dementia. However, no population studies have systematically ascertained cognitive function before, cognitive deficits during, and cognitive impairment after delirium. Therefore, there is a need to address the following question: does delirium, and its features (including severity, duration, and presumed aetiologies), predict long-term cognitive impairment, independent of cognitive impairment at baseline?

methodsThe Delirium and Population Health Informatics Cohort (DELPHIC) study is an observational population-based cohort study based in the London Borough of Camden. It is recruiting 2000 individuals aged ≥70 years and prospectively following them for two years, including daily ascertainment of all inpatient episodes for delirium. Daily inpatient assessments include the Memorial Delirium Assessment Scale, the Observational Scale for Level of Arousal, and the Hierarchical Assessment of Balance and Mobility. Data on delirium aetiology is also collected. The primary outcome is the change in the modified Telephone Interview for Cognitive Status at two years. DISCUSSION: DELPHIC is the first population sample to assess older persons before, during and after hospitalisation. The cumulative incidence of delirium in the general population aged ≥70 will be described. DELPHIC offers the opportunity to quantify the impact of delirium on cognitive and functional outcomes. Overall, DELPHIC will provide a real-time public health observatory whereby information from primary, secondary, intermediate and social care can be integrated to understand how acute illness is linked to health and social care outcomes.

Indexed as

Geriatric AssessmentAgedClinical ProtocolsCognitionCognitive DysfunctionDeliriumDementiaFemaleHospitalizationHumansIncidenceInpatientsLondonMalePopulation HealthPrognosisDeliriumDementiaEpidemiology

Identifiers

PMID29426299
PMCPMC5807842
OpenAlexW2784543989

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.