Evidence map›Paper›PMID 25066510›Full record

Trial reportBMC geriatrics2014

The descriptive epidemiology of delirium symptoms in a large population-based cohort study: results from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS).

Daniel H J Davis, Linda E Barnes, Blossom C M Stephan, Alasdair M J MacLullich, David Meagher, John Copeland, Fiona E Matthews, Carol Brayne, MRC Cognitive Function and Ageing Study

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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  6. Article
  7. Association of Poor Sleep Burden in Middle Age and Older Adults With Risk for Delirium During Hospitalization.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  8. Urinary Tract Infection in Parkinson's Disease.Journal of Parkinson's disease · 2022
    Review
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Observational
  19. Review
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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

9 authors at 6 institutions in 2 countries.

Daniel H J DavisDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK. daniel.davis@ucl.ac.uk.
Linda E Barnes
Blossom C M Stephan
Alasdair M J MacLullich
David Meagher
John Copeland
Fiona E Matthews
Carol Brayne
MRC Cognitive Function and Ageing Study
University of Cambridge · GBAlzheimer Scotland · GBMRC Biostatistics Unit · GBNewcastle University · GBUniversity of Limerick · IEUniversity of Liverpool · GB

Funding

Medical Research Council G9901400Medical Research Council MC_UU_12019/1Medical Research Council MR/K026992/1Medical Research Council MR/L023210/1Wellcome Trust 090661
6 · The paper itself

Abstract

backgroundIn the general population, the epidemiological relationships between delirium and adverse outcomes are not well defined. The aims of this study were to: (1) construct an algorithm for the diagnosis of delirium using the Geriatric Mental State (GMS) examination; (2) test the criterion validity of this algorithm against mortality and dementia risk; (3) report the age-specific prevalence of delirium as determined by this algorithm.

methodsParticipant and informant data in a randomly weighted subsample of the Cognitive Function and Ageing Study were taken from a standardized assessment battery. The algorithmic definition of delirium was based on the DSM-IV classification. Outcomes were: proportional hazard ratios for death; odds ratios of dementia at 2-year follow-up.

resultsData from 2197 persons (representative of 13,004) were used, median age 77 years, 64% women. Study-defined delirium was associated with a new dementia diagnosis at two years (OR 8.82, 95% CI 2.76 to 28.2) and death (HR 1.28, 95% CI 1.03 to 1.60), even after adjustment for acute illness severity. Similar associations were seen for study-defined subsyndromal delirium. Age-specific prevalence as determined by the algorithm increased with age from 1.8% in the 65-69 year age group to 10.1% in the ≥85 age group (p < 0.01 for trend). For study-defined subsyndromal delirium, age-specific period prevalence ranged from 8.2% (65-69 years) to 36.1% (≥85 years).

conclusionsThese results demonstrate the possibility of constructing an algorithmic diagnosis for study-defined delirium using data from the GMS schedule, with predictive criterion validity for mortality and dementia risk. These are the first population-based analyses able to account prospectively for both illness severity and an earlier study diagnosis of dementia.

Indexed as

AgedAged, 80 and overAgingBiomedical ResearchCognitionCohort StudiesDeliriumFemaleHumansMalePopulation SurveillanceUnited Kingdom

Identifiers

PMID25066510
PMCPMC4126352
OpenAlexW2076557490

What OpenQuestion holds

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LicenceCC BY
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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.