Evidence map›Paper›PMID 32448792›Full record

ArticleBMJ open2020

Clinical factors associated with progression to dementia in people with late-life depression: a cohort study of patients in secondary care.

Georgia Peakman, Nishshanka Karunatilake, Mathieu Seynaeve, Gayan Perera, Dag Aarsland, Robert Stewart, Christoph Mueller

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

7 authors at 2 institutions in 2 countries.

Georgia PeakmanKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK georgia.peakman.18@ucl.ac.uk.ORCID 0000-0002-3319-138X
Nishshanka KarunatilakeSouth London and Maudsley NHS Foundation Trust, London, UK.
Mathieu SeynaeveKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Gayan PereraKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.ORCID 0000-0002-3414-303X
Dag AarslandKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Robert StewartKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Christoph MuellerKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
King's College London · GBSouth London and Maudsley NHS Foundation Trust · GB

Funding

Medical Research Council MC_PC_17214Medical Research Council MR/T045302/1Wellcome Trust
6 · The paper itself

Abstract

objectivesDepression can be a prodromal feature or a risk factor for dementia. We aimed to investigate which clinical factors in patients with late-life depression are associated with a higher risk of developing dementia and a more rapid conversion.

designRetrospective cohort study.

settingSouth London and Maudsley NHS Foundation Trust (SLaM) secondary mental healthcare services.

participantsThe SLaM Clinical Record Interactive Search was used to retrieve anonymised data on 3659 patients aged 65 years or older who had received a diagnosis of depression in mental health services and had been followed up for at least 3 months. OUTCOME MEASURES: Predictors of development of incident dementia were investigated, including demographic factors, health status rated on the Health of the National Outcome scale for older people (HoNOS65+), depression recurrence and treatments including psychotropic drugs and cognitive behavioural therapy (CBT).

resultsIn total, 806 (22.0%) patients developed dementia over a mean follow-up time of 2.7 years. Significant predictors of receiving a dementia diagnosis in fully adjusted models and after accounting for multiple comparisons were older age (adjusted HR=1.04, 95% CI 1.03 to 1.06 per year difference from sample mean) and the HoNOS65+ subscale measuring cognitive problems (HR=4.72, 95% CI 3.67 to 6.06 for scores in the problematic range). Recurrent depressive disorder or past depression (HR=0.65, 95% CI 0.55 to 0.77) and the receipt of CBT (HR=0.73 95% CI 0.61 to 0.87) were associated with a lower dementia risk. Over time, hazards related to age increased and hazards related to cognitive problems decreased.

conclusionsIn older adults with depression, a higher risk of being subsequently diagnosed with dementia was predicted by higher age, new onset depression, severity of cognitive symptoms and not receiving CBT. Further exploration is needed to determine whether the latter risk factors are responsive to interventions.

Indexed as

Health StatusAgedAged, 80 and overAntidepressive AgentsCognitive Behavioral TherapyDementiaDepressionFemaleHumansLondonMaleMental Health ServicesRetrospective StudiesRisk FactorsAntidepressive Agentsdementiadepression & mood disordersgeriatric medicinemental health

Identifiers

PMID32448792
PMCPMC7252968
OpenAlexW3027738263

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.