Evidence map›Paper›PMID 30545411›Full record

ArticleBMC research notes2018

Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46.

Sarah-Naomi James, Christopher A Lane, Thomas D Parker, Kirsty Lu, Jessica D Collins, Heidi Murray-Smith, Michelle Byford, Andrew Wong, Ashvini Keshavan, Sarah Buchanan and 5 more

Abstract read
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Common infections and neuroimaging markers of dementia in three UK cohort studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The Power of Birth Cohorts to Study Risk Factors for Cognitive Impairment.Current neurology and neuroscience reports · 2022
    Review
  18. Article
  19. Article
  20. 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

15 authors.

Sarah-Naomi JamesMRC Unit for Lifelong Health and Ageing at UCL, London, UK. sarah.n.james@ucl.ac.uk.ORCID http://orcid.org/0000-0002-3800-4416
Christopher A LaneDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Thomas D ParkerDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Kirsty LuDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Jessica D CollinsDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Heidi Murray-SmithDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Michelle ByfordMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Andrew WongMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Ashvini KeshavanDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Sarah BuchananDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Sarah E KeussDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Nick C FoxDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Jonathan M SchottDementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
Marcus RichardsMRC Unit for Lifelong Health and Ageing at UCL, London, UK.

Funding

Alzheimer's Research UK ARUK-PG2014-1946Alzheimer's Research UK ARUK-PG2017-1946Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/3Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Wellcome TrustWellcome Trust 109/Z/15/ZWellcome Trust 200
6 · The paper itself

Abstract

objectiveIdentifying and recruiting people with early pre-symptomatic Alzheimer's disease to neuroimaging research studies is increasingly important. The extent to which results of these studies can be generalised depends on the recruitment and representativeness of the participants involved. We now report the recruitment and participation patterns from a neuroscience sub-study of the MRC National Survey of Health and Development, "Insight 46". This study aimed to recruit 500 participants for extensive clinical and neuropsychological testing, and neuroimaging. We investigate how sociodemographic factors, health conditions and health-related behaviours predict participation at different levels of recruitment.

resultsWe met our target recruitment (n = 502). Higher educational attainment and non-manual socio-economic position (SEP) were consistent predictors of recruitment. Health-related variables were also predictive at every level of recruitment; in particular higher cognition, not smoking and better self-rating health. Sex and APOE-e4 status were not predictors of participation at any level. Whilst recruitment targets were met, individuals with lower SEP, lower cognition, and more health problems are under-represented in Insight 46. Understanding the factors that influence recruitment are important when interpreting results; for Insight 46 it is likely that health-related outcomes and life course risks will under-estimate those seen in the general population.

Indexed as

ParturitionPatient SelectionAgedBrainCohort StudiesDementiaFemaleHumansLondonMaleSocioeconomic FactorsAttritionBirth cohortLongitudinal studyNeuroimagingOlder adultsParticipationSub-study

Identifiers

PMID30545411
PMCPMC6293512

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.