Evidence map›Paper›PMID 28591196›Full record

ArticlePloS one2017

Trajectories of dementia-related cognitive decline in a large mental health records derived patient cohort.

Elizabeth Baker, Ehtesham Iqbal, Caroline Johnston, Matthew Broadbent, Hitesh Shetty, Robert Stewart, Robert Howard, Stephen Newhouse, Mizanur Khondoker, Richard J B Dobson

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

22 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
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  10. The Impact of the COVID-19 Pandemic on the Cognition of People with Dementia.International journal of environmental research and public health · 2021
    Article
  11. Article
  12. Article
  13. Multi-time-point data preparation robustly reveals MCI and dementia risk factors.Alzheimer's & dementia (Amsterdam, Netherlands) · 2020
    Article
  14. Cognitive and functional progression of dementia in two longitudinal studies.International journal of geriatric psychiatry · 2019
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Observational
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

10 authors.

Elizabeth BakerDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-8008-7035
Ehtesham IqbalDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-9477-9745
Caroline JohnstonNational Institute for Health Research (NIHR) Biomedical Research for mental health and Dementia Unit at South London and Maudlsey NHS Foundation Trust, London, United Kingdom.ORCID http://orcid.org/0000-0002-7574-7075
Matthew BroadbentNational Institute for Health Research (NIHR) Biomedical Research for mental health and Dementia Unit at South London and Maudlsey NHS Foundation Trust, London, United Kingdom.
Hitesh ShettySouth London and Maudsley NHS Foundation Trust, London, United Kingdom.
Robert StewartDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-4435-6397
Robert HowardDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-3071-2338
Stephen NewhouseDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-1843-9842
Mizanur KhondokerDepartment of Population Health and Primary Care, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID http://orcid.org/0000-0002-1801-1635
Richard J B DobsonDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Funding

Medical Research Council MR/K006584/1Wellcome Trust
6 · The paper itself

Abstract

backgroundModeling trajectories of decline can help describe the variability in progression of cognitive impairment in dementia. Better characterisation of these trajectories has significant implications for understanding disease progression, trial design and care planning.

methodsPatients with at least three Mini-mental State Examination (MMSE) scores recorded in the South London and Maudsley NHS Foundation Trust Electronic Health Records, UK were selected (N = 3441) to form a retrospective cohort. Trajectories of cognitive decline were identified through latent class growth analysis of longitudinal MMSE scores. Demographics, Health of Nation Outcome Scales and medications were compared across trajectories identified.

resultsFour of the six trajectories showed increased rate of decline with lower baseline MMSE. Two trajectories had similar initial MMSE scores but different rates of decline. In the faster declining trajectory of the two, a higher incidence of both behavioral problems and sertraline prescription were present.

conclusionsWe find suggestive evidence for association of behavioral problems and sertraline prescription with rate of decline. Further work is needed to determine whether trajectories replicate in other datasets.

Indexed as

Electronic Health RecordsMental HealthAgedAged, 80 and overCognitive DysfunctionCohort StudiesDementiaFemaleHumansMaleNeuropsychological TestsOdds RatioRegression Analysis

Identifiers

PMID28591196
PMCPMC5462385

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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 OpenQuestion graph.